All IPs > Wireline Communication > Fibre Channel
Fibre Channel semiconductor IPs are crucial components in the infrastructure of high-speed data transfer systems tailored to enterprise storage networking. Known for their reliability and high performance, these semiconductor IPs enable efficient data communication essential for critical data center environments. Fibre Channel technology is a key driver in maintaining seamless connectivity and data flow across enterprise storage networks, ensuring that shared storage resources are accessible, robust, and efficient.
In the realm of wireline communication, Fibre Channel is often chosen for its ability to handle substantial amounts of data traffic with low latency, making it an indispensable technology in settings that require rapid storage and retrieval of information. This technology significantly boosts data handling capabilities and is particularly efficient in managing complex storage area networks (SANs). Moreover, the inherent scalability of Fibre Channel IPs offers enterprises the flexibility to expand and adapt their storage solutions as their data management needs evolve.
Products in this category of semiconductor IP range from basic cores designed for integration into larger system solutions to more advanced IP modules that provide comprehensive functionalities necessary for Fibre Channel implementation. These may include transceiver modules, protocol engines, and physical layer interfaces, all meticulously designed to adhere to industry standards and interoperability requirements. By using Fibre Channel IPs, developers can ensure that their products support high-speed data processing, offering an edge in competitive markets where performance and reliability are paramount.
The adoption of Fibre Channel semiconductor IPs in enterprise networks translates into higher efficiency and enhanced capability to support applications that require substantial bandwidth, such as virtualization and large transactional databases. As data demands continue to grow, leveraging Fibre Channel technology becomes even more critical in the strategic planning of network and storage architecture, providing foundational support for future technological advancements in data management systems.
Panmnesia's CXL 3.1 Switch is an integral component designed to facilitate high-speed, low-latency data transfers across multiple connected devices. It is architected to manage resource allocation seamlessly in AI and high-performance computing environments, supporting broad bandwidth, robust data throughput, and efficient power consumption, creating a cohesive foundation for scalable AI infrastructures. Its integration with advanced protocols ensures high system compatibility.
The Jotunn8 AI Accelerator represents a pioneering approach in AI inference chip technology, designed to cater to the demanding needs of contemporary data centers. Its architecture is optimized for high-speed deployment of AI models, combining rapid data processing capabilities with cost-effectiveness and energy efficiency. By integrating features such as ultra-low latency and substantial throughput capacity, it supports real-time applications like chatbots and fraud detection that require immediate data processing and agile responses. The chip's impressive performance per watt metric ensures a lower operational cost, making it a viable option for scalable AI operations that demand both efficiency and sustainability. By reducing power consumption, Jotunn8 not only minimizes expenditure but also contributes to a reduced carbon footprint, aligning with the global move towards greener technology solutions. These attributes make Jotunn8 highly suitable for applications where energy considerations and environmental impact are paramount. Additionally, Jotunn8 offers flexibility in memory performance, allowing for the integration of complexity in AI models without compromising on speed or efficiency. The design emphasizes robustness in handling large-scale AI services, catering to the new challenges posed by expanding data needs and varied application environments. Jotunn8 is not simply about enhancing inference speed; it proposes a new baseline for scalable AI operations, making it a foundational element for future-proof AI infrastructure.
The ntLDPC_G98042 (17664,14592) IP Core is defined in IEEE 802.3ca-2020, it is used by ITU-T G.9804.2-09.2021 standard document and it is based on an implementation of QC-LDPC Quasi-Cyclic LDPC Codes. These LDPC codes are based on block-structured LDPC codes with circular block matrices. The entire parity check matrix can be partitioned into an array of block matrices; each block matrix is either a zero matrix or a right cyclic shift of an identity matrix. The parity check matrix designed in this way can be conveniently represented by a base matrix represented by cyclic shifts. The main advantage of this feature is that they offer high throughput at low implementation complexity. The ntLDPCΕ_G98042 encoder IP implements a 256-bit parallel systematic LDPC encoder. The Generator LDPC Matrix is calculated off-line, compressed and stored in ROM. It is partitioned to 12 layers and each layer, when multiplied by the 14592 payload block, produces 256 parity bits. The multiplier architecture may be parameterized before synthesis to generate multiple multiplier instances [1:4,6], in order to effectively process multiple layers in parallel and improve the IP throughput rate. Shortened blocks are supported with granularity of 128-bit boundaries and 384 or 512 parity bits puncturing is also optionally supported. The ntLDPCD_G98042 decoder IP Core may optionally implement one of two approximations of the log-domain LDPC iterative decoding algorithm (Belief propagation) known as either Layered Offset Min-Sum Algorithm (OMS) or Layered Lambda-min Algorithm (LMIN). Selecting between the two algorithms presents a decoding performance vs. system resources utilization trade-off. The OMS algorithm is chosen for this implementation, given the high code rate of the Parity Check Matrix (PCM). The ntLDPCD_G98042 decoder IP implements a 256-bit parallel systematic LDPC layered decoder. Each layer corresponds to Z=256 expanded rows of the original LDPC matrix. Each layer element corresponds to the active ZxZ shifted identity sub-matrices within the layer. Each layer element is shifted accordingly and processed by the parallel decoding datapath unit, in order to update the layers’ LLR estimates and extrinsic information iteratively until the required number of decoding iterations has been run. The decoder IP also features a powerful optional syndrome check early termination (ET) criterion, to maintain identical error correction performance, while significantly increasing its throughput rate and/or reducing hardware cost. Additionally it reports how many decoding iterations have been performed when ET is activated, for system performance observation and calibration purposes. A top level architecture deployment wrapper allows to expand the parallelism degree of the decoder before synthesis, effec-tively implementing a trade-off between utilized area and throughput rate. Finally a simple, yet robust, flow control handshaking mechanism is included in both IPs, which is used to communicate the IPs availability to adjacent system components at 128-bit parallel bus interface. This logic is easily portable into any communication protocol, like AXI4 stream IF.
EW6181 is an IP solution crafted for applications demanding extensive integration levels, offering flexibility by being licensable in various forms such as RTL, gate-level netlist, or GDS. Its design methodology focuses on delivering the lowest possible power consumption within the smallest footprint. The EW6181 effectively extends battery life for tags and modules due to its efficient component count and optimized Bill of Materials (BoM). Additionally, it is backed by robust firmware ensuring highly accurate and reliable location tracking while offering support and upgrades. The IP is particularly suitable for challenging application environments where precision and power efficiency are paramount, making it adaptable across different technology nodes given the availability of its RF frontend.
The iCan PicoPop® is a miniaturized system on module (SOM) based on the Xilinx Zynq UltraScale+ Multi-Processor System-on-Chip (MPSoC). This advanced module is designed to handle sophisticated signal processing tasks, making it particularly suited for aeronautic embedded systems that require high-performance video processing capabilities. The module leverages the powerful architecture of the Zynq MPSoC, providing a robust platform for developing cutting-edge avionics and defense solutions. With its compact form factor, the iCan PicoPop® SOM offers unparalleled flexibility and performance, allowing it to seamlessly integrate into various system architectures. The high level of integration offered by the Zynq UltraScale+ MPSoC aids in simplifying the design process while reducing system latency and power consumption, providing a highly efficient solution for demanding applications. Additionally, the iCan PicoPop® supports advanced functionalities through its integration of programmable logic, multi-core processing, and high-speed connectivity options, making it ideal for developing next-generation applications in video processing and other complex avionics functions. Its modular design also allows for easy customization, enabling developers to tailor the system to meet specific performance and functionality needs, ensuring optimal adaptability for intricate aerospace environments. Overall, the iCan PicoPop® demonstrates a remarkable blend of high-performance computing capabilities and adaptable configurations, making it a valuable asset in the development of high-tech avionics solutions designed to withstand rigorous operational demands in aviation and defense.
The SMPTE ST 2110 core from Nextera facilitates the transmission and reception of professional media over IP networks. It supports various sub-standards, including the management of uncompressed video, audio, and associated data streams. This IP core is invaluable for broadcast and professional environments aiming to leverage IP standards for seamless media transportation and processing, ensuring high-quality outputs with flexibility in resource allocation and network adaptability.
Terminus Circuits' SerDes PHY is engineered to accommodate a diverse array of market needs, spanning network communication, PC interconnects, data storage, and beyond. This IP provides unmatched power efficiency and latency reduction, integral for industries such as aerospace, defense, and industrial applications that demand dependable data communication solutions. Offering tight integration with existing controllers ensures seamless interoperability and enhances the potential for tailored system solutions. The PHY's quad configuration supports multiple data lanes, optimizing the balance between bandwidth and latency across various standards such as PCI Express, USB, and DisplayPort. Equipped with advanced features such as tightly-controlled termination resistors, adaptive equalization, and loopback modes, this SerDes PHY ensures robust performance across all operational scenarios. Its ultra-low latency and low power usage make it a prime candidate for high-performance environments demanding reliability and efficiency.
StreamDSP's MIPI Video Processing Pipeline is crafted for seamless integration into advanced embedded systems, offering a turnkey solution for video handling and processing. It supports the MIPI CSI-2 and DSI-2 standards, allowing it to process various video formats and resolutions efficiently, including ultra-high-definition video. The architecture is designed to work with or without frame buffering, depending on latency needs, enabling system designers to tailor performance to specific application requirements. This flexibility ensures that StreamDSP's video pipeline can handle the demands of cutting-edge video applications like real-time video analysis and broadcast video streaming, while maintaining optimal resource usage.
The CTAccel Image Processor for Intel PAC is crafted to elevate the processing capabilities of data centers by transferring intensive image processing tasks from CPU to FPGA. By exploiting the strengths of Intel's Programmable Acceleration Card (PAC), this IP offers substantial improvements in throughput, latency, and Total Cost of Ownership (TCO). This IP enhances data center efficiency with increased image processing speeds ranging from four to fivefold over traditional CPU solutions, alongside reduced latency by two to threefold. The result is fewer servers needed, translating into lower maintenance and energy costs. Its compatibility with well-known image processing tools ensures that users need not alter their existing setups substantially to benefit from the acceleration offered by the FPGA. Moreover, the CTAccel Image Processor leverages advanced FPGA partial reconfiguration, allowing users to update and adjust computational cores remotely, maximizing performance for specific applications without downtime. This flexibility is pivotal for scenarios involving varied processing loads or evolving computational demands, ensuring uninterrupted performance enhancement.
InnoSilicon's 56G SerDes Solution is engineered for high-speed serialized data transmission, applicable in data communication and storage technologies. This SerDes (serializer/deserializer) supports a variety of interfaces, ensuring versatile compatibility with existing and future protocols, such as PCIe and Ethernet, among others. The 56G SerDes Solution is designed to deliver exceptional data integrity and low latency, enhancing system performance across different platforms. The architecture supports data rates up to 56Gbps, making it a suitable choice for environments requiring robust data processing capabilities. Power efficiency is a core aspect of this solution, achieved through advanced modulation techniques and power-saving features. It enables a reduction in overall system energy consumption while maintaining peak data throughput, which is crucial for high-density data centers and communication systems. The design also incorporates advanced error correction to boost reliability and reduce data loss during transmission, providing a comprehensive high-speed data transfer solution.
ARDSoC extends the capabilities of DPDK to ARM-based SoCs, enabling efficient packet processing that bypasses the traditional Linux network stack. This IP core saves valuable ARM processor cycles and integrates smoothly with distributed network applications, especially those relying on containers and embedded protocol bridges. The key benefit of ARDSoC is its ability to drastically reduce power consumption, latency, and the overall TCO when transitioning from x86 architectures. This is achieved by optimizing the ARM CCI-400 Cache performance and utilizing zero copy DPDK coherent memory structures. The IP supports popular ARM architectures like A53 and A72 and can achieve up to 64 Gbps throughput under nominal operating conditions. ARDSoC is particularly useful for cloud-edge devices requiring robust network processing capabilities. Its compatibility with existing DPDK programs ensures developers can easily migrate and integrate their applications with minimal modifications, supported by Atomic Rules' commitment to innovation and real-world application needs.
Ethernet Solutions from PRSsemicon deliver cutting-edge network interfaces ranging from 1G to 800G, including MAC, PCS, and switch components. This extensive suite enables robust and scalable networking capabilities suited to various environments, including data centers and enterprise networks. The solutions are designed to support both traditional Ethernet and advanced functionalities, ensuring optimal performance, reliability and data integrity across various applications in telecommunications and beyond.
Certus Semiconductor's RF/Analog solutions encompass state-of-the-art ultra-low power wireless front-end technologies. These include silicon-proven RF IPs, full-chip RF products, and next-generation wireless IPs. The RF IPs are compatible with various process nodes, offering comprehensive transceiver solutions integrated with digital controls and modern power management strategies. Specialized for wireless applications, these products include transceivers for LTE, Wifi, GNSS, and Zigbee, each meticulously designed to enhance communication reliability and efficiency in any technology node, from 12nm to 65nm processes.
The Ethernet 10/100 MAC from MosChip is designed to facilitate seamless data communication over Ethernet networks. Capable of supporting both 10 Mbps and 100 Mbps speeds, this solution is engineered to integrate easily into various application environments, ensuring robust performance. The IP's adaptability makes it ideal for use in a plethora of networked devices, where reliable data transfer is critical.\n\nBeyond basic Ethernet functionalities, this MAC solution is optimized for power and efficiency. Its architecture allows for reduced overhead in data frame validation and transmission, resulting in lowered power consumption, which is essential in maintaining energy efficiency across devices. The flexibility offered by this IP means it can be smoothly incorporated into both existing and new designs, making it a versatile choice for engineers looking to enhance connectivity and performance in digital products.\n\nAdditionally, MosChip's Ethernet 10/100 MAC includes features such as auto-negotiation, which allows devices to switch seamlessly between speeds, thus offering a smooth communication experience in dynamic network environments. With its reliability and efficiency, this IP stands as a core component in modern telecommunications equipment.
The 16-bit Binary-PSK Demodulator is designed for low-cost radio communication applications. Not only does it provide excellent noise immunity and dynamic range, but it also ensures automatic carrier lock without requiring complex PLL setups or tuning. Ideal for short-distance radio links, this demodulator supports symbol rates up to 10 Mbps, making it suitable for various digital communication systems.
KMX 10G MAC and PCS core, which includes media access control (MAC) module, physical coding sublayer (PCS) module and physical medium attachment (PMA) module, is compliant with the IEEE 802.3ba-2010 standard. The core supports RS FEC defined in IEEE 802.3 Clause 108 with independent bit error detection and bit error correction. It connects to user logic via AXI4-Stream interface of 64 bits at 156.25MHZ and to 10G PCS core via XGMII interface of 64 bits at 156.25 MHZ. It also connects to user logic via AXI4-Lite interface. The MAC core accepts packets from user logic and generates new format packets by adding Preamble/SFD; padding zero bytes for short packets to 64 bytes; generating 32 bit CRC and padding it. It receives packets from 10G PCS via XGMII interface and generates new format packet by removing Preamble/SFD and 32 bit CRC after CRC checking. It supports Pause Frame processing for flow control and Implements Deficit Idle Count algorithm to ensure maximum possible throughput at the transmit interface. It implements internal XGMII loopback for debug purpose, which at the XGMII interface, the data flow on TX path is redirected to RX path and no data is forwarded to XGMII TX interface. It implements configuration, control, status, statistical information collection and it supports VLAN tagged frame defined IEEE 802.1Q. KMX 10G PCS module connects to 10G MAC module via XGMII of 64 bits at 156.25MHZ and connects to transceiver interface at 64 bits at 161.1328125MHZ. The PCS core is compliant with IEEE 802.3ba specifications. The core supports the following features: It implements 64b/66b encoding/decoding. The core supports 10G scrambling/descrambling of polynomial 1 + x^39 + x^58. It implements gearbox on both TX and RX. The 66-bit block synchronization algorithm implementation is included. The BIP-8 generation/insertion on TX and checking on RX are supported. It implements Bit Error Rate (BER) for monitoring excessive error ratio. The transceiver interface loopback for debug purpose is implemented, which at transceiver interface, the data flow on TX path is redirected to the RX path and no data is forwarded to transceiver TX interface. The core supports link signaling protocol.
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