All IPs > Graphic & Peripheral > GPU
Graphics Processing Units (GPUs) have revolutionized the way we interact with digital content, making it more immersive and visually engaging. At the core of modern graphics technology lies GPU semiconductor IPs, which are integral to delivering outstanding visual performance across a wide array of devices. Whether it’s for rendering the latest video game graphics, enhancing multimedia playback, or powering complex computational tasks, these semiconductor IPs play a crucial role.
GPU semiconductor IPs are designed to efficiently handle a myriad of operations, predominantly focusing on parallel processing. This capability allows GPUs to process multiple tasks simultaneously, making them ideal for graphics rendering, high-definition video playback, and complex simulations. This category includes essential components like shaders, compute engines, and video encoders, which work in harmony to deliver seamless graphics experience.
Products within the GPU semiconductor IP category serve a diverse range of industries. In consumer electronics, GPUs are deployed in smartphones and tablets to enhance user interfaces and enable applications like augmented reality. In high-performance computing, they are an essential part of servers and workstations for tasks such as artificial intelligence, machine learning, and big data analytics. Furthermore, the gaming industry benefits from these semiconductor IPs by providing photorealistic graphics and smooth gameplay.
Selecting the right GPU semiconductor IP can significantly impact the performance and efficiency of the final product. With the rapid advancement of display technologies and the increasing demand for richer visual content, developers and manufacturers seek the most innovative and adaptable GPU IP solutions to remain competitive. By incorporating cutting-edge semiconductor IPs, they can deliver the next generation of visually stunning and energy-efficient products.
The KL730 AI SoC is a state-of-the-art chip incorporating Kneron's third-generation reconfigurable NPU architecture, delivering unmatched computational power with capabilities reaching up to 8 TOPS. This chip's architecture is optimized for the latest CNN network models and performs exceptionally well in transformer-based applications, reducing DDR bandwidth requirements substantially. Furthermore, it supports advanced video processing functions, capable of handling 4K 60FPS outputs with superior image handling features like noise reduction and wide dynamic range support. Applications can range from intelligent security systems to autonomous vehicles and commercial robotics.
The Mixed-Signal CODEC by Archband integrates advanced audio and voice processing capabilities, designed to deliver high-fidelity sound in a compact form. This technology supports applications across various audio devices, ensuring quality performance even at low power consumption levels. With its ability to handle both mono and stereo channels, it is perfectly suited for modern audio systems.
As the SoC that placed Kneron on the map, the KL520 AI SoC continues to enable sophisticated edge AI processing. It integrates dual ARM Cortex M4 CPUs, ideally serving as an AI co-processor for products like smart home systems and electronic devices. It supports an array of 3D sensor technologies including structured light and time-of-flight cameras, which broadens its application in devices striving for autonomous functionalities. Particularly noteworthy is its ability to maximize power savings, making it feasible to power some devices on low-voltage battery setups for extended operational periods. This combination of size and power efficiency has seen the chip integrated into numerous consumer product lines.
Archband's PDM-to-PCM Converter is a versatile module designed to facilitate digital audio transformation. By converting Pulse Density Modulated audio signals into Pulse Code Modulated signals, this converter enhances audio clarity and fidelity in modern digital interfaces. It suits applications where efficient data streaming and noise reduction are critical, such as in high-quality audio devices and communications technology.
The GH310 is specialized GPU IP tailored for 2D sprite graphics with an emphasis on high pixel processing capabilities. It achieves minimal gate count, ensuring it occupies less silicon area while delivering robust graphic outputs. Designed to handle large volumes of sprite graphics efficiently, the GH310 is perfect for applications requiring rapid rendering and minimal hardware overhead. This makes it favorable for systems where space and power savings are crucial yet high-quality graphics are needed. Its architecture allows for optimized performance tailored for specific graphical needs, translating into a resource-efficient solution for developers seeking to integrate intricate graphical features in their products without excessive resource consumption.
The Chimera GPNPU by Quadric redefines AI computing on devices by combining processor flexibility with NPU efficiency. Tailored for on-device AI, it tackles significant machine learning inference challenges faced by SoC developers. This licensable processor scales massively offering performance from 1 to 864 TOPs. One of its standout features is the ability to execute matrix, vector, and scalar code in a single pipeline, essentially merging the functionalities of NPUs, DSPs, and CPUs into a single core. Developers can easily incorporate new ML networks such as vision transformers and large language models without the typical overhead of partitioning tasks across multiple processors. The Chimera GPNPU is entirely code-driven, empowering developers to optimize their models throughout a device's lifecycle. Its architecture allows for future-proof flexibility, handling newer AI workloads as they emerge without necessitating hardware changes. In terms of memory efficiency, the Chimera architecture is notable for its compiler-driven DMA management and support for multiple levels of data storage. Its rich instruction set optimizes both 8-bit integer operations and complex DSP tasks, providing full support for C++ coded projects. Furthermore, the Chimera GPNPU integrates AXI Interfaces for efficient memory handling and configurable L2 memory to minimize off-chip access, crucial for maintaining low power dissipation.
The GV380 is a compact and powerful GPU IP designed to handle complex vector graphics with ease. This OpenVG 1.1 compliant GPU leverages a fourth generation architecture that minimizes CPU load while maximizing pixel performance in vector processing. The IP is ideal for embedded systems needing enhanced 2D graphics performance. It can seamlessly integrate with digital cameras and similar devices to render high-quality graphics without burdening the central processing unit. This efficiency is crucial in environments where processing capacity and battery life are valued. By offering substantial gains in pixel processing through innovative architectural improvements, the GV380 enables richer graphics and smoother interactions in embedded applications, supporting enhanced user experiences.
The KL630 AI SoC represents Kneron's sophisticated approach to AI processing, boasting an architecture that accommodates Int4 precision and transformers, making it incredibly adept in delivering performance efficiency alongside energy conservation. This chip shines in contexts demanding high computational intensity such as city surveillance and autonomous operation. It sports an ARM Cortex A5 CPU and a specialized NPU with 1 eTOPS computational power at Int4 precision. Suitable for running diverse AI applications, the KL630 is optimized for seamless operation in edge AI devices, providing comprehensive support for industry-standard AI frameworks and displaying superior image processing capabilities.
The DB9000AXI Display Controller is designed to handle a vast range of display resolutions for LCD and OLED panels. It supports standard configurations from 320x240 pixels to Full HD at 1920x1080 pixels, with advanced setups accommodating 4K and even 8K resolutions. This flexibility allows it to drive displays via on-chip AMBA interconnects, linking frame buffer memory and processing units. Moreover, it incorporates sophisticated capabilities like overlay windows and hardware cursors, ideal for applications requiring high precision and functionality. Built to align with the AXI protocol, the controller is optimized for performance, ensuring high throughput for demanding graphic operations. Its versatile nature suits it to multiple applications, ranging from consumer electronics to sophisticated medical and industrial monitors. The added advantages of reduced CPU burden and enhanced visual rendering make it a compelling choice for high-end display solutions. Additionally, the DB9000AXI supports optional features tailored to specific requirements, including alpha blending and color space conversion. These advanced functions ensure top-tier visual fidelity and are vital for modern, immersive viewing experiences. Paired with Linux drivers and extensive verification suites, the DB9000AXI is a future-proof solution for robust display management needs.
ISPido on VIP Board is a customized runtime solution tailored for Lattice Semiconductors’ Video Interface Platform (VIP) board. This setup enables real-time image processing and provides flexibility for both automated configuration and manual control through a menu interface. Users can adjust settings via histogram readings, select gamma tables, and apply convolutional filters to achieve optimal image quality. Equipped with key components like the CrossLink VIP input bridge board and ECP5 VIP Processor with ECP5-85 FPGA, this solution supports dual image sensors to produce a 1920x1080p HDMI output. The platform enables dynamic runtime calibration, providing users with interface options for active parameter adjustments, ensuring that image settings are fine-tuned for various applications. This system is particularly advantageous for developers and engineers looking to integrate sophisticated image processing capabilities into their devices. Its runtime flexibility and comprehensive set of features make it a valuable tool for prototyping and deploying scalable imaging solutions.
GSHARK is a high-performance GPU IP designed to accelerate graphics on embedded devices. Known for its extreme power efficiency and seamless integration, this GPU IP significantly reduces CPU load, making it ideal for use in devices like digital cameras and automotive systems. Its remarkable track record of over one hundred million shipments underscores its reliability and performance. Engineered with TAKUMI's proprietary architecture, GSHARK integrates advanced rendering capabilities. This architecture supports real-time, on-the-fly graphics processing similar to that found in PCs, smartphones, and gaming consoles, ensuring a rich user experience and efficient graphics applications. This IP excels in environments where power consumption and performance balance are crucial. GSHARK is at the forefront of embedded graphics solutions, providing significant improvements in processing speed while maintaining low energy usage. Its architecture easily handles demanding graphics rendering tasks, adding considerable value to any embedded system it is integrated into.
The Hyperspectral Imaging System is designed to provide comprehensive imaging capabilities that capture data across a wide spectrum of wavelengths. This system goes beyond traditional imaging techniques by combining multiple spectral images, each representing a different wavelength range. By doing this, it enables the identification and analysis of various materials and substances based on their spectral signatures. Ideal for applications in agriculture, healthcare, and industry, it allows for the precise characterisation of elements and compounds, contributing to advancements in fields such as remote sensing and environmental monitoring.
ZIA Stereo Vision by Digital Media Professionals Inc. revolutionizes three-dimensional image processing by delivering exceptional accuracy and performance. This stereo vision technology is particularly designed for use in autonomous systems and advanced robotics, where precise spatial understanding is crucial. It incorporates deep learning algorithms to provide robust 3D mapping and object recognition capabilities. The IP facilitates extensive depth perception and analyzed spatial data for applications in areas like automated surveillance and navigation. Its ability to create detailed 3D maps of environments assists machines in interpreting and interacting with their surroundings effectively. By applying sophisticated AI algorithms, it enhances the ability of devices to make intelligent decisions based on rich visual data inputs. Integration into existing systems is simplified due to its compatibility with a variety of platforms and configurations. By enabling seamless deployment in sectors demanding high reliability and accuracy, ZIA Stereo Vision stands as a core component in the ongoing evolution towards more autonomous and smart digital environments.
RegSpec is a comprehensive register specification tool that excels in generating Control Configuration and Status Register (CCSR) code. The tool is versatile, supporting various input formats like SystemRDL, IP-XACT, and custom formats via CSV, Excel, XML, or JSON. Its ability to output in formats such as Verilog RTL, System Verilog UVM code, and SystemC header files makes it indispensable for IP designers, offering extensive features for synchronization across multiple clock domains and interrupt handling. Additionally, RegSpec automates verification processes by generating UVM code and RALF files useful in firmware development and system modeling.
The GV580 stands out as a hybrid GPU IP, merging 2D and 3D rendering strengths to deliver optimum performance. Supporting both OpenVG 1.1 and OpenGL ES 1.1 standards, this GPU IP ensures comprehensive compatibility and advanced graphics rendering. A significant feature of the GV580 is its capability to provide high-resolution graphics that demand low power, making it suitable for applications in energy-constrained environments. This GPU IP allows devices to manage complex graphical processing tasks efficiently, thereby alleviating pressure from the main processor. With a focus on reducing power requirements while increasing processing efficiency, the GV580 is an essential component in developing advanced user interfaces for embedded systems, providing flexibility and adaptability across diverse applications.
Dillon Engineering's 2D FFT Core is specifically developed for applications involving two-dimensional data processing, perfect for implementations in image processing and radar signal analysis. This FFT Core operates by processing data in a layered approach, enabling it to concurrently handle two-dimensional data arrays. It effectively leverages internal and external memory, maximizing throughput while minimizing the impact on bandwidth, which is crucial in handling large-scale data sets common in imaging technologies. Its ability to process data in two dimensions simultaneously offers a substantial advantage in applications that require comprehensive analysis of mass data points, including medical imaging and geospatial data processing. With a focus on flexibility, the 2D FFT Core, designed using the ParaCore Architect, offers configurable data processing abilities that can be tailored to unique project specifications. This ensures that the core can be adapted to meet a range of application needs while maintaining high-performance standards that Dillon Engineering is renowned for.
Emphasizing energy efficiency and processing power, the KL530 AI SoC is equipped with a newly developed NPU architecture, making it one of the first chips to adopt Int4 precision commercially. It offers remarkable computing capacity with lower energy consumption compared to its predecessors, making it ideal for IoT and AIoT scenarios. Embedded with an ARM Cortex M4 CPU, this chip enhances comprehensive image processing performance and multimedia codec efficiency. Its ISP capabilities leverage AI-based enhancements for superior image quality while maintaining low power usage during operation, thereby extending its competitiveness in fields such as robotics and smart appliances.
The KL720 AI SoC stands out for its excellent performance-to-power ratio, designed specifically for real-world applications where such efficiency is critical. Delivering nearly 0.9 TOPS per Watt, this chip underlines significant advancement in Kneron's edge AI capabilities. The KL720 is adept for high-performance devices like cutting-edge IP cameras, smart TVs, and AI-driven consumer electronics. Its architecture, based on the ARM Cortex M4 CPU, facilitates high-quality image and video processing, from 4K imaging to natural language processing, thereby advancing capabilities in devices needing rigorous computational work without draining power excessively.
The M3000 Graphics Processor offers a comprehensive solution for 3D rendering, providing high efficiency and quality output in graphical processing tasks. It paves the way for enhancing visual performance in devices ranging from gaming consoles to sophisticated simulation systems. This processor supports an array of graphic formats and resolutions, rendering high-quality 3D visuals efficiently. Its robust architecture is designed to handle complex visual computations, making it ideal for industries that require superior graphical interfaces and detailed rendering capabilities. As part of its user-friendly design, the M3000 is compatible with established graphic APIs, allowing for easy integration and broad utility within existing technology structures. The processor serves as a benchmark for innovations in 3D graphical outputs, ensuring optimal end-user experiences in digital simulation and entertainment environments.
aiData introduces a fully automated data pipeline designed to streamline the workflow of automotive Machine Learning Operations (MLOps) for ADAS and autonomous driving development. Recognizing the enormous task of processing millions of kilometers of driving data, aiData employs automation from data collection to curation, annotation, and validation, enhancing the efficiency of data scientists and engineers. This crafted pipeline not only facilitates faster prototyping but also ensures higher quality in deploying machine learning models for autonomous applications. Key components of aiData include the aiData Versioning System, which provides comprehensive transparency and traceability over the data handling process, from recording to training dataset creation. This system efficiently manages metadata, which is integral for diverse use-cases, through advanced scene and context-based querying. In conjunction with the aiData Recorder, aiData automates data collection with precise sensor calibration and synchronization, significantly improving the quality of data for testing and validation. The aiData Auto Annotator further enhances operational efficiency by handling the traditionally labor-intensive process of data annotation using sophisticated AI algorithms. This process extends to multi-sensor data, offering high precision in dynamic and static object detection. Moreover, aiData Metrics tool evaluates neural network performance against baseline requirements, instantly detecting data gaps to optimize future data collection strategies. This makes aiData an essential tool for companies looking to enhance AI-driven driving solutions with robust, real-world data.
GSV3100 integrates a versatile shader architecture designed to support both 2D and 3D graphics applications seamlessly. Compatible with OpenGL ES 2.0, 1.1, and OpenVG 1.1 standards, it combines multiple rendering techniques suitable for the latest generation of embedded devices. This IP excels in providing high-quality graphical output with efficient resource management. Its design is optimal for applications demanding precise, intricate graphics without offsetting performance with excessive CPU strain. Further enhancing its utility, the GSV3100 ensures that both high-performance and energy-intensive tasks can be handled with ease, positioning it as a cornerstone for advanced embedded system designs.
aiSim is the world's first ISO26262 ASIL-D certified simulator, specifically designed for ADAS and autonomous driving validation. This state-of-the-art simulator captures the essence of AI-driven digital twin environments and sophisticated sensor simulations, key for conducting high-fidelity tests in virtual settings. Offering a flexible architecture, aiSim reduces reliance on costly real-world testing by recreating diverse environmental conditions like weather and complex urban scenarios, enabling comprehensive system evaluations under deterministic conditions. As a high-caliber tool, aiSim excels at simulating both static and dynamic environments, leveraging a powerful rendering engine to deliver deterministic, reproducible results. Developers benefit from seamless integration thanks to its modular use of C++ and Python APIs, making for an adaptable testing tool that complements existing toolchains. The simulator encourages innovative scenario creation and houses an extensive 3D asset library, enabling users to construct varied, detailed test settings for more robust system validation. aiSim's cutting-edge capabilities include advanced scenario randomization and simulation of sensor inputs across multiple modalities. Its AI-powered rendering streamlines the processing of complex scenarios, creating resource-efficient simulations. This makes aiSim a cornerstone tool in validating automated driving solutions, ensuring they can handle the breadth of real-world driving environments. It is an invaluable asset for engineers looking to perfect sensor designs and software algorithms in a controlled, scalable setting.
The Bluetooth Digital Clock from the Levo Series by Primex stands as a versatile solution for institutions requiring wireless and precise time synchronization. With its low-energy Bluetooth technology, this clock forms a mesh network that ensures consistent time updates across diverse locations within facilities. Designed particularly for schools, hospitals, and business settings, it supports the creation of a synchronized environment where every second matters. Its wireless nature significantly reduces installation costs and complexities, freeing facilities from the need for extensive cabling. The Levo Series clocks automatically update time, making them ideal for settings that require instantaneous adjustments, such as schools transitioning between periods or hospitals coordinating shifts. Additionally, the digital display offers clear and easy readability, which is essential in environments with high foot traffic. The synchronization with Primex's OneVue Sync technology further underscores its reliability, providing peace of mind that accurate timekeeping is always maintained. The Levo Series marries advanced technology with practical functionality, making them indispensable in environments that cannot afford time discrepancies.
The MVUM1000 ultrasound sensor array from MEMS Vision revolutionizes medical imaging with its scalable 256-element architecture. Employing advanced capacitive micromachined ultrasound transducers (CMUT), it provides high sensitivity and efficient electronic integration, capitalizing on their capacitive transduction properties to achieve energy-efficient operation. Its compatibility extends to various imaging methodologies, including time-of-flight and Doppler imaging, making it a flexible tool for contemporary medical visualization. The array is suitable for both portable point-of-care uses and traditional cart-based ultrasound devices, showcasing scalability and versatility. Beyond imaging, the MVUM1000's compact linear arrangement ensures precision without compromising on detail or surface coverage, delivering a distinguished imaging experience. Its design emphasizes ease of integration with ancillary electronic systems, maximizing its applicability in diverse clinical settings and procedures.
The RAIV General Purpose GPU (GPGPU) epitomizes versatility and cutting-edge technology in the realm of data processing and graphics acceleration. It serves as a crucial technology enabler for various prominent sectors that are central to the fourth industrial revolution, such as autonomous driving, IoT, virtual reality/augmented reality (VR/AR), and sophisticated data centers. By leveraging the RAIV GPGPU, industries are able to process vast amounts of data more efficiently, which is paramount for their growth and competitive edge. Characterized by its advanced architectural design, the RAIV GPU excels in managing substantial computational loads, which is essential for AI-driven processes and complex data analytics. Its adaptability makes it suitable for a wide array of applications, from enhancing automotive AI systems to empowering VR environments with seamless real-time interaction. Through optimized data handling and acceleration, the RAIV GPGPU assists in realizing smoother and more responsive application workflows. The strategic design of the RAIV GPGPU focuses on enabling integrative solutions that enhance performance without compromising on power efficiency. Its functionality is built to meet the high demands of today’s tech ecosystems, fostering advancements in computational efficiency and intelligent processing capabilities. As such, the RAIV stands out not only as a tool for improved graphical experiences but also as a significant component in driving innovation within tech-centric industries worldwide. Its pioneering architecture thus supports a multitude of applications, ensuring it remains a versatile and indispensable asset in diverse technological landscapes.
The ZIA ISP is Digital Media Professionals Inc.'s offering in the domain of image signal processing, designed to enhance AI-driven camera systems. It features high-performance capabilities suitable for automotive and industrial cameras, providing enhanced image quality across harsh lighting conditions like fog and low-light environments. By working in tandem with Sony's high-sensitivity image sensors, ZIA ISP maximizes the sensor's HDR capabilities. The ISP supports a variety of image formats and is equipped with noise reduction and advanced dynamic range correction functionalities. These features enable the efficient extraction of high-quality images that maintain clarity even when the imaging conditions are less than ideal, making it valuable for security and surveillance, as well as autonomous driving applications. The system is adaptable to various platforms, including ASIC, ASSP, SoC, and FPGA, facilitating broad deployment across different technological landscapes. With its capability to integrate advanced imaging technology, ZIA ISP functions as a crucial component in applications requiring rich visual data clarity and precise image recognition tasks.
The Trifecta-GPU is a sophisticated family of COTS PXIe/CPCIe GPU Modules by RADX Technologies, designed for substantial computational acceleration and ease of use in PXIe/CPCIe platforms. Powered by the NVIDIA RTX A2000 Embedded GPU, it boasts up to 8.3 FP32 TFLOPS performance, becoming a preferred choice for modular Test & Measurement (T&M) and Electronic Warfare (EW) systems. It integrates seamlessly into systems, supporting MATLAB, Python, and C/C++ programming, making it versatile for signal processing, machine learning, and deep learning inference applications. A highlight of the Trifecta-GPU is its remarkable computing prowess coupled with its design that fits within power and thermal constraints of legacy and modern chassis. It is available in both single and dual-slot variants, with the capability to dissipate power effectively, allowing users to conduct fast signal analysis and execute machine learning algorithms directly where data is acquired within the system. With its peak performance setting new standards for cost-effective compute acceleration, the Trifecta-GPU also supports advanced computing frameworks, ensuring compatibility with a myriad of applications and enhancing signal classification and geolocation tasks. Its hardware capabilities are complemented by extensive software interoperability, supporting both Windows and Linux environments, further cementing its position as a top-tier solution for demanding applications.
The Video Wall Display Management System is a flexible solution using FPGA technology, designed for high-quality image processing and output across multiple displays. It handles input from HDMI or Display Port sources, delivering processed video synchronized on up to four individual screens. This system is ideal for setups requiring intricate video configurations, such as digital signage or multi-display environments. It supports resolutions up to 3840x2400p60 for input and up to 1920x1200p60 for outputs, providing excellent image clarity and synchronization. Its flexibility is enhanced by supported configuration modes including Stretch, Cloned, and Independent outputs, with customizable bezel compensation. A software API facilitates easy configuration and control, ensuring seamless management of video outputs. The Video Wall System is continually being refined, with future developments aiming at greater support for larger display setups through linked FPGA units. This system provides a robust solution for customizable, high-quality video display management, catering to diverse application needs.
The Pipelined FFT Core by Dillon Engineering is architected to provide continuous processing capabilities for streaming FFT calculations. It adopts a linear, pipe-like structure where each calculation stage directly passes data to the next, ensuring that real-time data can flow uninterrupted through the pipeline. This makes it an ideal choice for real-time applications requiring minimal latency, such as live audio and video streaming, and high-frequency financial trading platforms. By maintaining a streamlined data pathway, the core minimizes delays traditionally associated with FFT computation, enhancing overall system responsiveness. Adopting a serial processing approach, the Pipelined FFT Core utilizes a single butterfly per rank in its design, optimizing for applications where resources are limited, but speed remains crucial. Dillon's design ensures that even with high-complexity data loads, the core performs reliably, making it a valuable component for modern digital systems.
iCEVision facilitates rapid prototyping and evaluation of connectivity features using the Lattice iCE40 UltraPlus FPGA. Designers can take advantage of exposed I/Os for quick implementation and validation of solutions, while enjoying compatibility with common camera interfaces such as ArduCam CSI and PMOD. This flexibility is complemented by software tools such as the Lattice Diamond Programmer and iCEcube2, which allow designers to reprogram the onboard SPI Flash and develop custom solutions. The platform comes preloaded with a bootloader and an RGB demo application, making it quick and easy for users to begin experimenting with their projects. Its design includes features like a 50mmx50mm form factor, LED applications, and multiple connectivity options, ensuring broad usability across various rapid prototyping scenarios. With its user-friendly setup and comprehensive toolkit, iCEVision is perfect for developers who need a streamlined path from initial design to functional prototype, especially in environments where connectivity and sensor integration are key.
The UltraLong FFT Core by Dillon Engineering is optimized for high-speed, large-scale signal processing tasks, perfectly suited for deployment on Xilinx FPGAs. This core leverages specialized design to handle extensive data sets efficiently, maximizing throughput by effectively utilizing external memory resources. By implementing our UltraLong FFT, companies can achieve unparalleled data processing rates, making it ideal for applications that demand extensive computational resources. The core supports various advanced memory management techniques to mitigate bandwidth constraints, ensuring smooth performance even when processing vast amounts of data. Its versatile nature allows it to integrate seamlessly into existing FPGA environments, aiding developers in scaling their projects without substantial infrastructural changes. Capable of leveraging its layered architecture, the UltraLong FFT efficiently processes two FFT engines, which are critical in managing high-volume data while maintaining accuracy and speed. This structure is particularly beneficial for applications requiring accelerated data retrieval, demonstrating the UltraLong FFT's relevance in contemporary digital signal processing projects.
The HUMMINGBIRD Optical Network-on-Chip (ONOC) is an advanced interconnect technology that utilizes optical pathways to enhance on-chip communication. It is designed to significantly boost data transfer speeds within semiconductor chips by replacing traditional electronic wired pathways with optical networks. This ONOC architecture facilitates a network of components on a single chip, drastically reducing latency and improving data throughput, which is essential for high-speed computing environments and AI applications. HUMMINGBIRD's innovative use of optical signals not only enhances speed but also minimizes power consumption, as optical signals inherently require less energy than electrical currents. This efficient operation is particularly beneficial in modern processors, where heat and power are limiting factors for scaling up capabilities. By mitigating these factors, HUMMINGBIRD enables denser chip designs and more powerful processing. The adaptability of this optical network-on-chip makes it suitable for integration into various semiconductor platforms. It helps data centers and computing applications efficiently manage increasingly complex data loads without significant increases in power consumption or heat generation. HUMMINGBIRD stands out as an optimal choice for cutting-edge chip designs seeking to leverage the benefits of optical technology within the semiconductor industry.
The Neuropixels Probe is a groundbreaking neural recording device that has transformed the study of brain activity. It features an array of closely spaced electrodes on a thin probe, capable of simultaneously recording the electrical activity from hundreds of neurons. This fine-scale recording capability enables neuroscientists to map complex neural circuits and delve deeper into understanding cognitive processes, neural disorders, and sensory functions. Its applications extend to both basic and clinical research, providing insights that are crucial for the development of new treatments and therapies for neurological conditions.
Systems4Silicon's Crest Factor Reduction (CFR) Technology, named FlexCFR, is an advanced solution designed to optimize the performance of RF power amplifiers by limiting transmit signal envelope. This enables significant improvements in amplifier efficiency by increasing the average transmit power while reducing peak-power demands. FlexCFR stands out for its vendor-independence, allowing it to be configured for any FPGA or ASIC platform, and dynamic adaptability to accommodate various communication standards including multi-carrier signals. FlexCFR offers several advantages, such as reducing the costs associated with higher peak-power requirements and improving overall amplifier efficiency. The product allows for real-time changes, supporting a variety of standard and non-standard communication systems, ensuring a tailored fit for different networking needs. The technologically sophisticated CFR can adjust the Peak to Average Power Ratio (PAPR) to balance spectral emission performance against in-channel outcomes, providing versatile operational benefits. Designed for comprehensive adaptability, FlexCFR is compatible with DPD solutions and envelope tracking, offering robust functionality in diverse network setups. The system is known for its deterministic behavior, facilitating accurate off-line modeling for performance predictions and system optimization. Systems4Silicon offers detailed documentation and ongoing support from experienced engineers to help users harness the full potential of FlexCFR technology.
Semidynamics' Vector Unit is a fully customizable RISC-V processor designed to maximize data processing capabilities through parallel computing. Supporting up to 2048 bits, this Vector Unit is engineered to handle a mix of data types and sizes, from FP64 to INT8, providing substantial flexibility for diverse application needs. This unit stands out due to its customizable data path length (DLEN) and vector register length (VLEN), which can be adjusted according to the specific performance and power trade-offs required by applications. Its intricate architecture supports all RISC-V Vector Interface specifications, enabling broad compatibility and integration with existing systems. Optimized for high-performance applications such as AI and HPC, the Vector Unit's architecture efficiently manages vector arithmetic operations, significantly improving processing speed for data-intensive tasks. As an advanced feature, it supports simultaneous operations across multiple vector cores, leveraging Semidynamics' Gazzillion Misses™ technology to maintain high bandwidth and low latency in all operations.
The VibroSense AI Chip is a cutting-edge solution designed for vibration analysis in Industrial IoT applications. It is based on the Neuromorphic Analog Signal Processor, which preprocesses raw sensor data, significantly reducing the amount of data to be stored and transmitted. This chip is particularly beneficial in predictive maintenance applications, where it helps in the early detection of potential machinery failures by analyzing vibrations generated by industrial equipment. VibroSense excels in overcoming the traditional challenges linked to data processing for condition monitoring systems. By performing data preprocessing at the sensor level, it minimizes data volumes by a thousand times or more, making it feasible to conduct condition monitoring over narrow-bandwidth communications and at lower operational costs. This ensures industrial operations can identify issues like bearing wear or imbalance effectively, ultimately extending equipment life and improving safety. The implementation of VibroSense's neural network architecture enables it to handle complex vibration signals with high accuracy. It supports energy-efficient designs, providing a compelling solution for industries aiming to optimize maintenance operations without increasing their OPEX. Its ease of integration with standard sensor nodes and support for energy harvesting applications further enhances its market appeal.
Himax offers a series of sophisticated display drivers specifically engineered for large-sized LCD TV panels, monitors, and notebooks. These drivers include a variety of integral components such as timing controllers, source drivers, and gate drivers, providing comprehensive solutions to ensure sharp, vibrant displays. The inclusion of advanced features such as gamma and Vcom operations contributes to exceptional image quality and color accuracy, meeting the high standards expected by end-users today. In addition to enhancing visual appeal, these display drivers are designed to be highly efficient, offering reliable performance with low power consumption. This efficient energy usage is vital for reducing operational costs and supporting long-term sustainability goals across the technology ecosystem. This thoughtful engineering approach ensures that Himax display drivers meet the diverse requirements of different applications while remaining adaptable to future technological advancements. Furthermore, Himax collaborates closely with leading panel manufacturers across the globe, ensuring their solutions are compatible with the latest technologies and market demands. This strategic alignment positions Himax as a leader in the industry, trusted by some of the biggest names in the global tech sector.
The Catalyst-GPU series by RADX Technologies brings advanced graphics and computational acceleration to PXIe/CPCIe platforms, leveraging NVIDIA’s robust technology to extend capabilities within modular Test & Measurement and Electronic Warfare applications. These GPUs sport significant computational power, delivering up to 2.5 FP32 TFLOPs with NVIDIA Quadro T600 and T1000 models. Distinguished by their ease of use, Catalyst-GPUs support MATLAB, Python, and C/C++ programming, alongside a plethora of computing frameworks, enabling efficient signal processing, machine learning, and deep learning applications. This makes them an excellent fit for signal classification and geolocation, as well as semiconductor and PCB testing. Catalyst-GPUs’ unique capabilities lie in their ability to process large FFTs in real-time, elevating signal processing precision significantly. Their integration into PXIe systems allows users to conduct faster, more accurate data analyses right where data is acquired. With support for both Windows and Linux environments, Catalyst-GPUs are crafted for versatility and effectiveness across a wide range of technical requirements.
Himax Technologies offers a cutting-edge range of CMOS image sensors tailored for diverse camera applications. These sensors boast small pixel sizes, enabling them to deliver exceptional imaging performance while being energy efficient. Integrating these sensors into devices has proven to enhance image quality significantly, making them a preferred choice among leading global device manufacturers. The sensors operate in an ultra-low power range, which is crucial for battery-dependent devices that require long life and reliability. Their autonomous operational capabilities paired with low latency performance ensure that images are captured seamlessly and efficiently without draining power unnecessarily. Himax's CMOS image sensors also feature programmable readout modes and integration time, offering flexibility in various applications. These sensors are pivotal in enabling always-on cameras that are crucial for security and IoT devices, highlighting their versatility across different sectors. Coupled with MIPI serial link interface, they provide a streamlined design ideal for integration in compact and complex devices, reinforcing Himax's role in advancing imaging solutions.
The RayCore MC Ray Tracing GPU is a cutting-edge GPU IP known for its real-time path and ray tracing capabilities. Designed to expedite the rendering process efficiently, this GPU IP stands out for its balance of high performance and low power consumption. This makes it ideal for environments requiring advanced graphics processing with minimal energy usage. Capitalizing on world-class ray tracing technology, the RayCore MC ensures seamless, high-quality visual outputs that enrich user experiences across gaming and metaverse applications. Equipped with superior rendering speed, the RayCore MC integrates sophisticated algorithms that handle intricate graphics computations effortlessly. This GPU IP aims to redefine the norms of graphics performance by combining agility in data processing with high fidelity in visual representation. Its real-time rendering finesse significantly enhances user interaction by offering a flawless graphics environment, conducive for both immersive gaming experiences and professional metaverse developments. The RayCore MC GPU IP is also pivotal for developers aiming to push the boundaries of graphics quality and efficiency. With an architecture geared towards optimizing both visual output and power efficiency, it stands as a benchmark for future GPU innovations in high-demand industries. The IP's ability to deliver rapid rendering with superior graphic integrity makes it a preferred choice among developers focused on pioneering graphics-intensive applications.
The ELFIS2 is a cutting-edge visible light imager, offering advanced performance through its radiation-hard design, making it ideal for harsh environments such as those found in space exploration and high-risk scientific endeavors. The sensor is equipped with features like a True High Dynamic Range (HDR), ensuring excellent color and detail representation across various lighting conditions, as well as Motion Artifact Free (MAF) imaging facilitated by its Global Shutter technology. This sensor adopts a Back-Side-Illumination (BSI) technique, enhancing sensitivity and efficiency by allowing more light to reach the photodiode surfaces, critical for high precision applications. Additionally, its aptness for environments with high radiation exposure due to its Total Ionizing Dose (TID) and SEL/SEU resilience further assures consistent reliability and quality in challenging conditions. ELFIS2's superior design also focuses on minimizing interference and maximizing clarity, making it a robust solution for applications demanding top-tier image quality and operational reliability. Its use in advanced imaging systems underscores Caeleste’s commitment to providing state-of-the-art technology that fulfills demanding requirements, cementing their status as a leader in custom sensor design.
Badge 2D Graphics offers a high-efficiency graphics solution, designed to support a variety of visual applications through its robust rendering capabilities. This system leverages FPGA technology to deliver fast and efficient 2D graphics processing, tailored for systems requiring stable and reliable graphical outputs. It is particularly suitable for integration into environments where extensive graphical assistance is needed, offering resourceful features for text and video rendering. With its widespread deployment in products surpassing five million units, Badge 2D Graphics demonstrates its reliability and performance in real-world applications, proving essential for industries ranging from automotive to consumer electronics. The system is optimized for use with Xilinx FPGA platforms, ensuring seamless integration with various digital environments. Its design promotes enhanced image quality and reduced rendering times, fostering a smooth user experience in applications that depend on crisp and precise graphical outputs. Through adaptable configuration settings, Badge 2D Graphics supports the needs of different applications by offering customizable output options. Its versatile architecture supports a variety of requirements, making it an indispensable component for systems focused on delivering superior 2D graphics processing.
Dillon Engineering's Load Unload FFT Core is an essential IP for facilitating high-efficiency input and output transactions in FFT processing. This FFT core is engineered to optimize data handling, designed explicitly for scenarios demanding fast-paced data throughput with minimal latency. Its advanced design ensures that input/output operations can run parallel to processing, reducing bottlenecks and enhancing system performance. This core is particularly beneficial in applications where rapid data reuse and iterative computations are critical, making it highly sought after in communications and real-time data processing projects. By automating data handling processes, the Load Unload FFT Core ensures that resources are allocated efficiently, maximizing computational effectiveness. Designed for seamless integration into existing FPGA infrastructures, this IP offers a flexible solution that adapts to a wide range of system specifications. Whether deployed in telecommunications, advanced computing, or signal analysis, the Load Unload FFT guarantees consistent performance and reliability.
This highly integrated core from Soft Mixed Signal Corporation combines advanced technologies to deliver a robust gigabit Ethernet transceiver designed for both fiber and copper mediums. The transceiver is compliant with IEEE 802.3z standards and incorporates unique features such as a 10-bit controller interface for bidirectional data paths, ensuring reliable and fast data transmission. It integrates various high-speed drivers along with clock recovery digital logic, phase-locked and delay-locked loop architectures, serializer/deserializer modules, and low-jitter PECL interfaces. This makes it an ideal solution for network systems requiring consistent performance under demanding conditions. The transceiver is tailored for low cost and low power CMOS processes, offering both 75 and 50 Ohm termination compatibility, and includes optional embedded Bit Error Rate Testing (BER), enhancing its utility in complex environments. It is mainly designed to optimize data alignment and ensure effective jitter performance, positioning it as a distinctive asset for advanced Ethernet networking solutions.
The High Performance FPGA PCIe Accelerator Card serves as a high-speed addition for enhancing computational capacity in server units, utilizing Intel Arria 10 FPGA technology. It features dual DDR3 memory banks and a PCIe 3.0 interface, making it perfect for tasks that require rapid data transfer. Designed for high-density server environments, it aids in offloading processing tasks, lowering power consumption while maintaining high performance. This card excels in applications that demand high throughput, such as real-time video processing and algorithm acceleration. In addition to video acceleration capabilities, it supports up to 4k UHD through bi-directional Quad 3G SDI interfaces. Available as a standalone solution or combined with other Korusys IPs, this card is versatile enough to replace or enhance GPU solutions, making it a comprehensive tool for various computational disciplines.
The High Performance FPGA PCIe Accelerator Card serves as a high-speed addition for enhancing computational capacity in server units, utilizing Intel Arria 10 FPGA technology. It features dual DDR3 memory banks and a PCIe 3.0 interface, making it perfect for tasks that require rapid data transfer. Designed for high-density server environments, it aids in offloading processing tasks, lowering power consumption while maintaining high performance. This card excels in applications that demand high throughput, such as real-time video processing and algorithm acceleration. In addition to video acceleration capabilities, it supports up to 4k UHD through bi-directional Quad 3G SDI interfaces. Available as a standalone solution or combined with other Korusys IPs, this card is versatile enough to replace or enhance GPU solutions, making it a comprehensive tool for various computational disciplines.
The mobile handset display drivers offered by Himax are versatile solutions that tackle the complexities of modern handheld devices. These drivers integrate a combination of source and gate drivers with timing controllers and frame buffers in one chip, enhancing integration and system efficiency. Their technology supports a range of applications, ensuring crisp and clear display performance while maintaining low power consumption—essential for extending battery life in mobile devices. Beyond just integration, Himax's mobile handset drivers focus on delivering superior image quality by employing advanced DC to DC circuits that regulate power effectively across the display. The enhanced capability of these drivers contributes to vivid and dynamic screen visuals that today's consumers expect. With the consumer electronic market's continual push for higher immersion levels and interactivity, these display drivers are developed to robustly handle various applications without compromising on speed or capacity. This commitment to quality and innovation places Himax as a pivotal player in advancing mobile display technologies.
Dillon Engineering's Mixed Radix FFT Core leverages the flexibility of varying radix strategies to optimize performance across diverse FFT lengths. Unlike fixed-radix approaches, the mixed radix methodology dynamically combines different radices like 2, 3, 5, and 7, allowing the core to efficiently handle non-standard FFT lengths. This adaptability is particularly advantageous in complex signal processing environments, where data must be processed in a non-uniform or multi-dimensional spectrum. The mixed radix structure effectively reduces calculation overload and improves processing speed. Consequently, this core is exceptionally suited for audio and image processing tasks that demand high precision and dynamic range. Designed with Dillon's renowned ParaCore Architect, this FFT core offers parameterized configuration, enabling developers to refine its settings to perfectly match the specific needs of their applications. Its integration into ASIC and FPGA infrastructures is seamless, ensuring increased operational efficiency without sacrificing accuracy or speed.
The D/AVE 3D offers GPU capabilities with support for OpenGL ES 1.1 and OpenVG 1.01 APIs, facilitating high-performance 3D graphics on FPGAs and microprocessors. This technology provides texture compression and edge-based anti-aliasing, accommodating resolutions of up to 2048 x 2048 pixels. With a robust design of around 1200k gates and 200-400kBits of memory requirement, the D/AVE 3D is optimized for platforms requiring precise graphics rendering and is compatible with Linux environments.
The Parallel FFT Core from Dillon Engineering is constructed to deliver horizontal scalability in FFT processing, meaning that it uses multiple parallel processing lanes to tackle data tasks efficiently. This parallelism allows for increased speed and capacity, a necessity in applications like video processing, multi-channel signal filtering, and complex numerical simulations that handle significant data loads. Taking advantage of the parallel architectures, this core reduces logical dependency between FFT stages, meaning each can independently advance calculations without waiting for previous data completions. This enhances data throughput and operational speed, providing a robust solution for real-time data-intensive applications. Versatility is a core advantage of the Parallel FFT, easily integrating into varying FPGA or ASIC ecosystems. Its inherent flexibility means that developers can swiftly adapt their systems' processing power without substantial changes to the architecture, a decisive factor in fast-paced tech environments.
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