All IPs > Processor > DSP Core
In the realm of semiconductor IP, DSP Cores play a pivotal role in enabling efficient digital signal processing capabilities across a wide range of applications. Short for Digital Signal Processor Cores, these semiconductor IPs are engineered to handle complex mathematical calculations swiftly and accurately, making them ideal for integration into devices requiring intensive signal processing tasks.
DSP Core semiconductor IPs are widely implemented in industries like telecommunications, where they are crucial for modulating and encoding signals in mobile phones and other communication devices. They empower these devices to perform multiple operations simultaneously, including compressing audio, optimizing bandwidth usage, and enhancing data packets for better transmission quality. Additionally, in consumer electronics, DSP Cores are fundamental in audio and video equipment, improving the clarity and quality of sound and visuals users experience.
Moreover, DSP Cores are a linchpin in the design of advanced automotive systems and industrial equipment. In automotive applications, they assist in radar and lidar systems, crucial for autonomous driving features by processing the data needed for real-time environmental assessment. In industrial settings, DSP Cores amplify the performance of control systems by providing precise feedback loops and enhancing overall process automation and efficiency.
Silicon Hub's category for DSP Core semiconductor IPs includes a comprehensive collection of advanced designs tailored to various processing needs. These IPs are designed to integrate seamlessly into a multitude of hardware architectures, offering designers and engineers the flexibility and performance necessary to push the boundaries of technology in their respective fields. Whether for enhancing consumer experiences or driving innovation in industrial and automotive sectors, our DSP Core IPs bring unparalleled processing power to the forefront of digital innovations.
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 xcore.ai platform from XMOS is engineered to revolutionize the scope of intelligent IoT by offering a powerful yet cost-efficient solution that combines high-performance AI processing with flexible I/O and DSP capabilities. At its heart, xcore.ai boasts a multi-threaded architecture with 16 logical cores divided across two processor tiles, each equipped with substantial SRAM and a vector processing unit. This setup ensures seamless execution of integer and floating-point operations while facilitating high-speed communication between multiple xcore.ai systems, allowing for scalable deployments in varied applications. One of the standout features of xcore.ai is its software-defined I/O, enabling deterministic processing and precise timing accuracy, which is crucial for time-sensitive applications. It integrates embedded PHYs for various interfaces such as MIPI, USB, and LPDDR, enhancing its adaptability in meeting custom application needs. The device's clock frequency can be adjusted to optimize power consumption, affirming its cost-effectiveness for IoT solutions demanding high efficiency. The platform's DSP and AI performances are equally impressive. The 32-bit floating-point pipeline can deliver up to 1600 MFLOPS with additional block floating point capabilities, accommodating complex arithmetic computations and FFT operations essential for audio and vision processing. Its AI performance reaches peaks of 51.2 GMACC/s for 8-bit operations, maintaining substantial throughput even under intensive AI workloads, making xcore.ai an ideal candidate for AI-enhanced IoT device creation.
The NaviSoC by ChipCraft is a highly integrated GNSS system-on-chip (SoC) designed to bring navigation technologies to a single die. Combining a GNSS receiver with an application processor, the NaviSoC delivers unmatched precision in a dependable, scalable, and cost-effective package. Designed for minimal energy consumption, it caters to cutting-edge applications in location-based services (LBS), the Internet of Things (IoT), and autonomous systems like UAVs and drones. This innovative product facilitates a wide range of customizations, adaptable to varied market needs. Whether the application involves precise lane-level navigation or asset tracking and management, the NaviSoC meets and exceeds market expectations by offering enhanced security and reliability, essential for synchronization and smart agricultural processes. Its compact design, which maintains high efficiency and flexibility, ensures that clients can tailor their systems to exact specifications without compromise. NaviSoC stands as a testament to ChipCraft's pioneering approach to GNSS technologies.
The eSi-3264 is a cutting-edge 32/64-bit processor core that incorporates SIMD DSP extensions, making it suitable for applications requiring both efficient data parallelism and minimal silicon footprint. Designed for high-accuracy DSP tasks, this processor's multifunctional capabilities target audio processing, sensor hubs, and complex arithmetic operations. The eSi-3264 processor supports sizeable instruction and data caches, which significantly enhance system performance when accessing slower external memory sources. With dual and quad MAC operations that include 64-bit accumulation, it enhances DSP execution, applying 8, 16, and 32-bit SIMD instructions for real-time data handling and minimizing CPU load.
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.
ISPido represents a fully configurable RTL Image Signal Processing Pipeline, adhering to the AMBA AXI4 standards and tailored through the AXI4-LITE protocol for seamless integration with systems such as RISC-V. This advanced pipeline supports a variety of image processing functions like defective pixel correction, color filter interpolation using the Malvar-Cutler algorithm, and auto-white balance, among others. Designed to handle resolutions up to 7680x7680, ISPido provides compatibility for both 4K and 8K video systems, with support for 8, 10, or 12-bit depth inputs. Each module within this pipeline can be fine-tuned to fit specific requirements, making it a versatile choice for adapting to various imaging needs. The architecture's compatibility with flexible standards ensures robust performance and adaptability in diverse applications, from consumer electronics to professional-grade imaging solutions. Through its compact design, ISPido optimizes area and energy efficiency, providing high-quality image processing while keeping hardware demands low. This makes it suitable for battery-operated devices where power efficiency is crucial, without sacrificing the processing power needed for high-resolution outputs.
The SCR4 core is a high-performance, area-efficient RISC-V processor with floating-point computation capabilities. Targeting mobile and industrial applications, it supports both single and double precision, adhering to IEEE 754-2008 standards. Its instruction set is complete with advanced extensions, including atomic and cryptography functions for secure and efficient operations. With a powerful 5-stage in-order pipeline and a dedicated FPU, the SCR4 can handle complex mathematical tasks swiftly. Its memory architecture features both L1 and L2 caches, alongside a TCM unit, enabling rapid data access and management essential in real-time environments. Incorporating a robust branch prediction unit and support for multicore setups, the SCR4 excels in environments demanding synchronized computing tasks across multiple processors. It’s supported by comprehensive development kits and detailed documentation to expedite the design and implementation processes across diverse platforms.
The Spiking Neural Processor T1 is an innovative ultra-low power microcontroller designed for always-on sensing applications, bringing intelligence directly to the sensor edge. This processor utilizes the processing power of spiking neural networks, combined with a nimble RISC-V processor core, to form a singular chip solution. Its design supports next-generation AI and signal processing capabilities, all while operating within a very narrow power envelope, crucial for battery-powered and latency-sensitive devices. This microcontroller's architecture supports advanced on-chip signal processing capabilities that include both Spiking Neural Networks (SNNs) and Deep Neural Networks (DNNs). These processing capabilities enable rapid pattern recognition and data processing similar to how the human brain functions. Notably, it operates efficiently under sub-milliwatt power consumption and offers fast response times, making it an ideal choice for devices such as wearables and other portable electronics that require continuous operation without significant energy draw. The T1 is also equipped with diverse interface options, such as QSPI, I2C, UART, JTAG, GPIO, and a front-end ADC, contained within a compact 2.16mm x 3mm, 35-pin WLCSP package. The device boosts applications by enabling them to execute with incredible efficiency and minimal power, allowing for direct connection and interaction with multiple sensor types, including audio and image sensors, radar, and inertial units for comprehensive data analysis and interaction.
The Codasip RISC-V BK Core Series is engineered to deliver flexibility and adaptability for a variety of embedded applications. These cores are designed to be low-power, offering an excellent balance of performance and energy efficiency. The series provides a spectrum of configurations, allowing developers to customize them to align with unique project requirements, ensuring each processor operates at peak efficiency for its specific use case. The cores are RISC-V compliant and adhere to stringent industry standards for quality, making them a reliable choice for sensitive applications.
The Nerve IIoT Platform by TTTech Industrial is engineered to bridge the gap between real-time data and IT functionalities in industrial environments. This platform allows machine builders and operators to effectively manage edge computing needs with a cloud-managed approach, ensuring safe and flexible deployment of applications and data handling. At its core, Nerve is designed to deliver real-time data processing capabilities that enhance operational efficiency. This platform is distinguished by its integration with off-the-shelf hardware, providing scalability from gateways to industrial PCs. Its architecture supports virtual machines and network protocols such as CODESYS and Docker, thereby enabling a diverse range of functionalities. Nerve’s modular system allows users to license features as needed, optimizing both edge and cloud operations. Additionally, Nerve delivers substantial business benefits by increasing machine performance and generating new digital revenue streams. It supports remote management and updates, reducing service costs and downtime, while improving cybersecurity through standards compliant measures. Enterprises can use Nerve to connect multiple machines globally, facilitating seamless integration into existing infrastructures and expanding digital capabilities. Overall, Nerve positions itself as a formidable IIoT solution that combines technical sophistication with practical business applications, merging the physical and digital worlds for smarter industry operations.
The iniDSP from Inicore is a sophisticated 16-bit digital signal processor designed to manage a variety of signal processing tasks. This core is particularly tailored for applications that require precise processing capabilities and real-time performance. It excels in environments where efficiency and accuracy are paramount, supporting various digital signal processing needs within an FPGA or ASIC system. The iniDSP’s design ensures optimal integration and functionality, providing a reliable solution for industries requiring effective signal processing solutions.
The SCR3 core by Syntacore is a silicon-proven microcontroller aimed at applications requiring both high performance and power efficiency. This 32/64-bit processor core supports a variety of RISC-V standard extensions, including atomic operations and bit manipulation, optimizing it for real-time applications needing reliable interrupt handling through its PLIC, ACLINT, and IPIC units. It features a 5-stage in-order pipeline paired with branch prediction and cache systems to enhance speed and execution efficiency. With considerable support for seamless memory operations, it includes both L1 and L2 caches and a TCM unit capable of housing up to 256KB of data, alongside an integrated Memory Protection Unit for executing multiple privilege modes. Ideal for industrial automation and IoT usage, the SCR3 core facilitates multicore operations with cache coherency for up to 4 simultaneous cores. Extensive development tools are provided, including simulators, IDE support, and a comprehensive FPGA-based SDK, allowing for immediate application development and deployment.
The iCan PicoPop® System on Module (SOM) by Oxytronic is an ultra-compact computing solution designed for high-performance and space-constrained environments within the aerospace industry. Utilizing the Xilinx Zynq UltraScale+ MPSoC, this module delivers significant processing power ideal for complex signal processing and other demanding tasks. This module's design caters to embedded system applications, offering robust capabilities in avionics where size, weight, and power efficiency are critical considerations. It provides core functionalities that support advanced video processing, making it a pivotal component for those requiring cutting-edge technological support in minimal form factors. Oxytronic ensures that the iCan PicoPop® maintains compatibility with a wide range of peripherals, facilitating easy integration into existing systems. Its architectural innovation signifies Oxytronic's understanding of aviation challenges, providing solutions that are both technically superior and practically beneficial for modern aerospace applications.
Enclustra's Universal Drive Controller is a comprehensive motor control solution encompassing support for DC, brushless, and stepper motors. It features a field-oriented control for BLDC motors, a trajectory planner, and complete position control, eliminating the need for additional drive controller chips. By reducing both the CPU load and system cost, this IP facilitates efficient motor control suitable for multiple applications, including robotics and automation. Seamlessly integrating with standard FPGA development tools, it provides robust support for DC and BLDC motors by allowing autonomous management, making it an ideal choice for reducing development times and costs in motion control systems.
The Universal DSP Library from Enclustra offers robust FPGA implementations for commonly used digital signal processing tasks, such as FIR and CIC filters, mixers, and function approximations. Designed to reduce development time, every component comes as VHDL source code and as a block in the AMD Vivado ML Design Suite IPI framework. This setup allows for rapid building of processing chains using either the GUI or direct VHDL instantiation. The library supports multi-channel data processing, both parallel and TDM, and is geared towards minimizing integration complexity while maximizing performance.
The Digital Radio (GDR) from GIRD Systems is an advanced software-defined radio (SDR) platform that offers extensive flexibility and adaptability. It is characterized by its multi-channel capabilities and high-speed signal processing resources, allowing it to meet a diverse range of system requirements. Built on a core single board module, this radio can be configured for both embedded and standalone operations, supporting a wide frequency range. The GDR can operate with either one or two independent transceivers, with options for full or half duplex configurations. It supports single channel setups as well as multiple-input multiple-output (MIMO) configurations, providing significant adaptability in communication scenarios. This flexibility makes it an ideal choice for systems that require rapid reconfiguration or scalability. Known for its robust construction, the GDR is designed to address challenging signal processing needs in congested environments, making it suitable for a variety of applications. Whether used in defense, communications, or electronic warfare, the GDR's ability to seamlessly switch configurations ensures it meets the evolving demands of modern communications technology.
Tensix Neo is a high-performance processor designed to accelerate AI tasks with remarkable efficiency. By optimizing for performance per watt, it caters to AI developers needing robust technology for power-intense projects. Its architectural design supports a wide range of precision formats, ensuring that varying AI workloads are managed effectively. Central to its design is a specialized Network-on-Chip (NoC) that facilitates highly efficient data transfer and communication, enabling scalable AI solutions. This NoC allows the processor to evolve alongside an ever-changing landscape of AI models and applications, making it an asset for developers focused on scalability. Tensix Neo is particularly suited for environments where adaptability and performance are crucial, such as large-scale data processing centers and real-time computational tasks. It provides the technological backbone needed for developing next-gen AI systems that require flexible and powerful processing capabilities.
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 Domain-Specific RISC-V Cores from Bluespec are engineered to facilitate hardware acceleration in a streamlined and efficient manner. By packaging accelerators as software threads, these cores deliver high concurrency and efficient system performance. The scalability embedded in this technology caters to a range of application needs, enabling systematic hardware acceleration for developers and organizations aiming to optimize RISC-V implementations.
The Cottonpicken DSP Engine is a versatile digital signal processing module developed by section5, designed to enhance image and video processing applications. At its core, the DSP engine includes microcoded elements capable of executing complex operations such as Bayer pattern decoding and YUV conversions across multiple formats including YUV 4:2:2 and RGB.\n\nOne of the key highlights of the Cottonpicken DSP Engine is its ability to perform real-time image processing in a highly efficient manner, supporting pixel clocks up to 150 MHz, though actual performance is dependent on the specific platform. This engine's microcoded DSP system facilitates operations like specific matrix transformations and programmable delays, essential for high-speed image analytics.\n\nFocusing on compatibility and tailored use, the Cottonpicken is provided as a closed-source netlist object, included within a comprehensive development package from section5. Designed for those needing high-performance DSP solutions, it is particularly well-suited for applications requiring rapid and accurate image transformations, taking advantage of its programmable structure and supported operations.
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 Satellite Navigation SoC Integration solution by GNSS Sensor Ltd facilitates the incorporation of GNSS capabilities into system-on-chips. This integration supports GPS, GLONASS, SBAS, and Galileo, enabling comprehensive navigation system compatibility. The solution involves independent search engines for rapid satellite signal acquisition and processing, enhancing the overall efficacy of the navigation systems. Additionally, it accommodates various frequency bands and provides platform-independent signal processing capabilities, making it a versatile option for developers. The solution is designed to provide optimum performance with its sophisticated navigation engine. It supports a broad spectrum of satellite frequency bands, ensuring a wide range of compatibility. This feature is pivotal for applications requiring precise geolocation capabilities, providing developers with a reliable and efficient platform to build upon. Its integration into SoCs simplifies development, allowing for seamless incorporation into existing systems. Further enriching its offering are features like a high update rate and a platform-independent API, ensuring that it meets the technical demands of modern applications. This API facilitates easy integration into various software platforms, ensuring that as navigation needs evolve, the system remains adaptable. Additionally, the focus on ensuring a high level of flexibility in design and functionality makes this solution particularly appealing for developers aiming to develop robust, innovative GNSS-enabled systems.
The TSP1 neural network accelerator is a groundbreaking AI chip designed by Applied Brain Research to efficiently manage time series data processing while maintaining energy efficiency. With a focus on battery-powered devices, the chip excels in implementing AI workloads, including complex functions like natural voice interfaces and bio-signal classifications. Its advanced network training capabilities enable sophisticated AI applications across various fields, ensuring low latency and ultra-low power consumption. Featuring a self-contained processing environment, the TSP1 is built to handle a wide array of voice and sensor signal applications, making it well-suited for sectors such as smart homes, AR/VR, and wearables. The integration of state-space models, like the Legendre Memory Unit, enhances its computational efficiency, setting new benchmarks for AI tasks. This innovation supports lower power and cost demands without compromising the robust performance typically required in real-time interactions. Technical specs for the TSP1 include support for full vocabulary speech recognition and signal pattern recognition, with power demands kept minimal thanks to an integrated power management unit and custom-optimized hardware. The chip's design facilitates both signal processing and firmware storage on-chip, offering options for multiple audio inputs and versatile connectivity options to host CPUs, ensuring extensive compatibility in edge computing applications.
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.
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.
TUNGA emerges as a revolutionary multi-core SoC integrating RISC-V cores with posit arithmetic capabilities. This solution is specifically architected for enhancing high-performance computing (HPC) and artificial intelligence workloads by leveraging the advantages of posit data types. As data centers struggle with the limitations of traditional number formats, TUNGA offers improved accuracy and efficiency, transforming real-number calculations with its innovative RISC-V foundation. This cutting-edge SoC includes the QUIRE accumulator, adept at executing precise dot products, crucial for delivering high-accuracy computations across extensive datasets. TUNGA's design incorporates reconfigurable FPGA gates, offering adaptability in critical function accelerations tailored for datacenter tasks. This adaptability extends to managing unique data types, thereby expediting AI training and inference. TUNGA stands out for its capability to streamline applications such as cryptography and AI support functions, making it a vital tool in pushing data center technologies to new horizons.
The Codasip L-Series DSP Core is a versatile digital signal processing solution aimed at high-performance computing tasks. This DSP core is tailored for applications that demand rigorous processing capabilities, such as audio and video processing, where speed and precision are critical. It supports a wide array of standard DSP functions, coupled with the ability to customize operations, making it ideal for specialized tasks or specific industry requirements. The L-Series benefits from Codasip's in-house design automation tools, ensuring it is both flexible and easy to integrate into new or existing systems.
Advanced Silicon's specialty microcontrollers are tailored to offer cutting-edge solutions for complex image processing tasks. These microcontrollers are built using the latest RISC-V architectures, integrated with advanced coprocessing capabilities, enabling them to handle intricate algorithms efficiently. With a focus on delivering high-speed processing for touchscreen interface management, these microcontrollers are indispensable in modern large-format display systems. They incorporate sophisticated machine learning algorithms within the touch firmware, empowering them to interpret varied user gestures and inputs with high accuracy, supporting interactive touch interfaces across diverse operational environments. The specialization extends to integrating seamlessly with proprietary technologies like Advanced Silicon’s Tactors™ for enhanced touch functionality on glass surfaces, addressing demanding user interface challenges with improved reliability, performance, and user experience.
The Ceva-XC22 is a cutting-edge DSP core tailored for 5G and 5G-Advanced workloads, offering unprecedented processing capabilities and flexibility for demanding communications applications. This DSP core supports simultaneous processing tasks with high utilization rates, ensuring superior performance across multiple data channels and spectral layers.\n\nCeva-XC22 is built on a dual-threaded architecture with a dynamic scheduled vector processor, which provides extensive processing power for increasingly complex 5G applications. The system also includes a vector computation unit for enhanced arithmetic operations and data handling.\n\nBy leveraging its advanced execution model, Ceva-XC22 delivers significant performance improvements over its predecessors, making it ideal for a range of infrastructure applications, from massive MIMO to core network processing.
The Ceva-SensPro2 is an advanced Vision AI DSP designed to concurrently manage tasks such as vision processing, RADAR/LiDAR computation, and AI inferencing within a single integrated architecture. This DSP family caters to high-performance demands in automotive, robotics, and smart devices, by combining scalar processing with vector capabilities to handle complex sensor data streams efficiently.\n\nThe architecture of Ceva-SensPro2 is designed for flexibility, offering a range of configuration options tailored to specific application needs, from compact wearables to large-scale automotive deployments. By employing an 8-way VLIW architecture, this DSP ensures both efficiency and speed in processing multi-dimensional data.\n\nComplementing its hardware, Ceva-SensPro2 is supported by a comprehensive suite of software tools, which include AI development environments and a rich set of libraries for computer vision and sensor processing, enabling rapid deployment and adaptation to evolving industry standards.
The Prodigy Universal Processor by Tachyum is a breakthrough in processor technology, integrating the functionalities of CPUs, GPGPUs, and TPUs within a single architecture to deliver exceptional performance and energy efficiency. With its ability to tackle different computing demands from AI to high-performance workloads, the Prodigy sets a new paradigm in processing capabilities. Tachyum's Prodigy processors deliver up to 18 times higher performance compared to conventional systems, while also achieving six times better performance per watt. This makes it a highly efficient option for data centers, reducing not only energy consumption but also operational costs significantly, an imperative in today's energy-conscious world. The Prodigy processor seamlessly supports standard software packages, allowing current applications to run without modifications. This capability ensures that enterprises can transition to more powerful computing environments without incurring additional development costs. Moreover, its inherent multipurpose design supports a broad spectrum of AI applications, from machine learning to advanced data analytics.
The AON1020 enhances the capabilities of edge AI by addressing not only voice and audio but also various sensor applications. It extends the AONSens™ Neural Network cores line to include comprehensive sensor activities such as human motion detection. This IP delivers its AI processing engine in Verilog RTL, making it versatile for inclusion in numerous ASIC and FPGA designs, while maintaining a focus on low power consumption and high functional accuracy.
The NoISA Processor from Hotwright provides an innovative shift from traditional ISA-based processor systems. Unlike traditional processors that implement a fixed architecture for the ALU, register file, and hardware controller, the NoISA model is implemented using the Hotstate machine. This technology enables runtime loadable microcoded state machines that are programmable in a subset of the C language. This processor offers a unique solution for applications where space and power efficiency are critical, such as IoT and edge devices. The design focuses on reducing energy consumption while maintaining performance, which can be comparable to or exceed that of a traditional softcore CPU. The NoISA Processor is especially beneficial for creating small controllers and state machines that need programmability and adaptability. Applications for the NoISA Processor are vast, including areas where flexibility to change hardware behavior rapidly is needed without replacing or redesigning the hardware itself. This processor supports enhanced behavioral changes by reloading microcode in contrast to limited instruction-based adjustments in typical processors, offering greater freedom for developers to optimize performance across various domains without being tied to a specific ISA.
Menta’s Adaptive Digital Signal Processor (DSP) is tailored for managing and optimizing signal processing tasks within embedded systems. This IP is ideal for applications demanding high processing performance without compromising energy consumption or space. Utilizing Menta’s standard-cell approach, this DSP ensures ease of integration across various process nodes with high efficiency. Integrated with customizable algorithms and interfaces, Menta’s DSP provides engineers the flexibility to implement specific processing tasks tailored to their applications. This adaptability is crucial for areas like real-time data analysis and machine learning, where rapid response and prediction accuracy are essential. By leveraging the advantages of Menta’s eFPGA base, such processors offer exemplary processing speed, reduced latency, and energy-efficient operation. These attributes significantly contribute to optimizing applications across sectors including automotive, telecommunications, and portable electronics, making Menta’s DSP a standout choice for developers seeking performance and innovation.
AON1100 is acclaimed as the leading edge AI chip optimized for voice and sensor applications. With a power consumption of less than 260µW, it excels in delivering near-perfect accuracy even in challenging environments. This makes it indispensably suited for continuously active devices that require both precision and energy efficiency.
The Prodigy FPGA-Based Emulator from Tachyum is designed to offer a testing and evaluation platform for their innovative Prodigy processors. This hardware emulator is essential for potential customers looking to assess performance metrics, software development, and ensuring compatibility. This FPGA-based platform is structured with several FPGA and IO boards interconnected, simulating multiple processing cores that include both vector and matrix processing capabilities. The emulator offers a robust environment for debugging and evaluating performance in real-time without the risk associated with proprietary or regulated data, ensuring a safe testing zone. Such a system is an invaluable resource for organizations that aim to validate their systems and software prior to full-scale deployment, making it possible to experience the Prodigy architecture's full capabilities in advance.
The AON1000 is a cutting-edge AI processing engine designed with super low-power and high-accuracy capabilities for edge applications. It's specifically built for efficient wake word, voice command, acoustic event, and speaker identification, making it ideal for devices that need to be always on, such as wearables and IoT devices. AON1000 utilizes proprietary neural network architectures and tuned inference algorithms, ensuring unmatched performance in real-world conditions that are typically noisy.
The Matchstiq™ X40 model is a high-performance software-defined radio (SDR) platform featuring advanced computing capabilities, designed specifically for AI and machine learning applications at the RF edge. This device is tailored for use in environments where small form factor and low size, weight, and power (SWaP) parameters are essential, without compromising on operational efficiency. This platform operates over an expanded frequency range from 1 GHz to either 6 GHz or 18 GHz depending on the model, supporting bandwidths up to 450 MHz per channel. Sophisticated digital signal processing is powered by an integrated graphics processing unit (GPU), enhancing capabilities for complex signal and data handling tasks. Both support for extensive RF motor, sensors and, advanced AI processing make it particularly suited for mission-critical applications. The Matchstiq X40 is ideal for dense RF environments, providing flexibility through its open architecture which facilitates integration with existing systems. It embodies the essence of Epiq Solutions' focus on delivering cutting-edge technology within compact designs, enabling versatile deployment in challenging operational scenarios.
The ARC Processor from Synopsys is designed to provide efficient processing for a wide range of applications, from automotive and consumer electronics to industrial automation. ARC Processors are known for their configurability, allowing custom instruction sets that match the specific needs of an application, thus optimizing performance and power efficiency.\n\nThese processors support a broad array of computing demands, offering designs that range from small, power-sensitive cores for IoT devices to high-performance solutions for data processing in more intensive computing environments. Synopsys provides a comprehensive suite of development tools and software, ensuring that the ARC Processor can be seamlessly integrated into any design workflow.\n\nThe ARC Processor’s architecture enables designers to maximize processor efficiency through extensive support for machine learning and artificial intelligence operations, which are becoming increasingly pertinent in modern computing. With robust performance capabilities, the ARC Processor is ideal for projects requiring scalable hardware solutions with enhanced computational effectiveness.
The Blazar Bandwidth Accelerator Engine is a cutting-edge solution providing unprecedented acceleration capability for FPGA systems. It is designed to undertake in-memory computation, substantially boosting data processing times while integrating expansive memory and low-latency access. The Blazar engine leverages its robust memory architecture to offer highly efficient operations in environments demanding rapid data handling, proving ideal for bandwidth-intensive applications such as advanced network processing and SmartNIC solutions. Distinguished by features like in-memory compute capabilities and optional RISC cores for additional processing power, the Blazar Engine transforms traditional data handling processes. It supports dual-port memory access, allowing simultaneous reading and writing operations—a significant advancement for systems tasked with managing fluctuating data loads efficiently. Its capacity to perform billions of read operations per second illustrates its aptitude in high-demand scenarios. The Blazar Engine's design ensures integration into existing systems with minimal disruption, providing designers with a seamless transition path. This solution is particularly beneficial in dynamic settings where real-time data metrics and serial link aggregations are critical. In bolstering communication infrastructures with accelerated processing abilities, the Blazar engine fosters developments in areas like 5G networks, ensuring flexible, high-output operations while maintaining cost-effectiveness.
The RFicient chip developed by Fraunhofer IIS is a revolutionary component designed to enhance the Internet of Things (IoT) ecosystem. This ultra-low power chip is specifically engineered for energy-efficient operations, making it ideal for various IoT applications that require extended battery life. It integrates seamlessly with existing IoT infrastructures, providing reliable connectivity and data processing capabilities. The chip utilizes a unique energy-saving design that reduces power consumption by up to 99 percent compared to traditional solutions, enabling it to function effectively in remote or hard-to-reach locations. This makes it particularly advantageous for IoT networks that operate in areas where frequent battery replacement or recharging is not feasible. The RFicient chip supports numerous wireless protocols, ensuring compatibility with a wide array of IoT devices and systems. Moreover, this chip is built to accommodate future advancements in IoT technology and applications. It offers expandable features that allow for integration with next-generation IoT innovations, thus future-proofing investments in these networks. The RFicient chip represents a significant step forward in sustainable technology for IoT, aligning with Fraunhofer IIS's commitment to applied research for a sustainable economy.
The AON1010 is tailored for processing microphone data for voice and audio recognition. As part of the AONVoice™ Neural Network cores line, this IP provides a robust framework for developing applications that require high accuracy in varying auditory environments. Its delivery in Verilog RTL makes it accessible for a range of fabrication technologies, such as ASIC and FPGA, allowing vast customization in product development.
TicoRAW FPGA/ASIC IP Cores are at the forefront of RAW image compression, offering exceptional efficiency for handling high-resolution image and video data. Ideal for use with next-generation image sensors, these IP cores maximize image quality while minimizing the bandwidth required for data transmission and storage. The distinctive feature of TicoRAW is its ability to maintain the highest levels of detail and color integrity across the luminance and chrominance spectrum, making it perfectly suited for high-dynamic-range imaging and high frame rate environments. This performance is critical in industries such as digital cinema, broadcasting, and surveillance, where preserving RAW data quality is paramount. Additionally, TicoRAW enables real-time processing with low power consumption, making it an excellent choice for portable and embedded applications. It supports a wide range of resolutions and frame rates, up to 200 megapixels, ensuring compatibility with various modern imaging devices. The ability to integrate seamlessly into existing workflows makes it a staple for professionals looking to advance their imaging capabilities significantly.
The AL-AVPLR-IPC is a compact, efficient H.264 AV decoder designed for industrial and consumer electronic applications. Built around the Zynq 7010 platform, it features dual ARM Cortex-A9 cores, making it well-suited for digital signage and infotainment systems. It supports high-definition video decoding with built-in audio processing capabilities, ensuring synchronized playback of multimedia content. Its architecture takes advantage of extensive programmable resources while optimizing power usage, balancing low operational cost with performance demands.
Building upon the foundation of AON1100, the AON1120 introduces enhanced input/output capabilities and RISC-V support. Designed for smart home and automotive contexts, it provides extensive flexibility in developing applications that benefit from more robust processing and expanded interfacing opportunities.
The SNS2100 is a state-of-the-art semiconductor solution tailored for sophisticated signal processing applications. It excels in handling complex signal flows by offering unparalleled processing speed and efficiency. With its advanced architecture, the SNS2100 supports a variety of digital signal processing tasks, making it a versatile choice for developers and engineers. Its high-performance capabilities are complemented by an intuitive design that simplifies integration into existing systems. The SNS2100 is engineered to work seamlessly with other system components, reducing the complexity and time involved in product design and deployment. This flexibility makes it suitable for a range of applications, from consumer electronics to industrial systems. Developers will appreciate the SNS2100's ability to deliver consistent performance under challenging conditions, ensuring that signal processing is both accurate and reliable. This robust solution is a key component in elevating the technological capabilities of cutting-edge electronic products.
The xcore-200 series stands out with its capability to offer robust solutions for the Internet of Things, providing phenomenal computation, DSP, IO, and control in a consolidated architecture. This series is divided into three device classes: the XU series supports USB interfaces, the XE series facilitates gigabit ethernet applications, and the XL series offers flash memory inclusion. This stratification allows designers to select solutions that are optimally aligned with their application's requirements, without compromising on performance. Within the xcore-200, processing efficiency is elevated via a dual-issue processor pipeline, which aids in boosting compute performance significantly, even under constrained conditions. The chip's design can house between 8 to 32 logical cores, supporting dynamic task executions that include but are not limited to, complex DSP and standard computational operations. This flexibility extends to its communication protocol with a high-speed internal switch facilitating inter-core data transfer, enhancing the chip's utility in multi-threaded workloads. Complementing its processing prowess, the xcore-200 features configurable I/O ports that bolster serial and parallel data operations, making it ideal for applications necessitating high-speed, real-time interaction with external systems. Additionally, the series incorporates secure boot features and on-chip memory ranging from 512KB to 1024KB, ensuring both operational security and ample data handling capacity.
The Electrical PAM-X DSP from 1-VIA is engineered to enhance signal transmission over copper networks, maximizing data throughput while minimizing power consumption. This product is pivotal for active electrical cables, enabling long-distance transmission with superior signal integrity. With its state-of-the-art design, the Electrical PAM-X DSP sets new standards in high-speed data movement, making it an indispensable asset for modern data centers. This DSP technology paves the way for revolutionary advancements in connectivity by significantly improving bandwidth performance over existing copper infrastructures. Integrating seamlessly into diverse applications, the Electrical PAM-X DSP ensures reliable and efficient data processing across extensive networks. Its innovative approach allows for enhanced signal clarity, catering to industries seeking high-speed, low-power solutions. Ideal for a variety of telecommunications needs, the DSP serves as a cornerstone for developing improved copper-based communication modules. Benefiting from 1-VIA's advanced engineering and extensive testing, the Electrical PAM-X DSP promises market-leading performance. Users can expect unparalleled data handling capabilities, which are crucial for the ongoing evolution of digital and telecommunication infrastructures. Its compatibility with existing systems makes it easy to deploy and manage, offering great flexibility to users seeking to upgrade their networking environments and satisfy increasing demands for bandwidth-intensive applications.
The Complex DSP Engine provided by IPCoreWorx incorporates advanced digital signal processing with a robust architecture designed to optimize performance. It is delivered as a netlist or synthesizable RTL source code in VHDL, complete with a comprehensive verification test bench and vectors also in VHDL. The package includes detailed integration documentation and user guides to ensure that developers can effectively implement the engine into their systems. This DSP Engine is particularly adept at handling complex computational tasks, offering significant enhancements in processing speed and efficiency.
IPCoreWorx's N-Point FFT/IFFT Core is designed with parameterization in mind, making it a versatile choice for systems that require transformation between time and frequency domains. Especially optimized for WLAN standards like 802.11 and 802.16, as well as other OFDM standards, this core enhances the system's computational efficiency. By leveraging efficient algorithms, this core reduces processing time and energy consumption, addressing the essential needs of modern communication technologies.
Join the world's most advanced semiconductor IP marketplace!
It's free, and you'll get all the tools you need to discover IP, meet vendors and manage your IP workflow!