All IPs > Processor > Coprocessor
In the realm of modern computing, coprocessor semiconductor IPs play a crucial role in augmenting system capabilities. A coprocessor is a supplementary processor that executes specific tasks more efficiently than the primary central processing unit (CPU). These coprocessors are specialized semiconductor IPs utilized in devices requiring enhanced computational power for particular functions such as graphics rendering, encryption, mathematical calculations, and artificial intelligence (AI) processing.
Coprocessors are integral in sectors where high performance and efficiency are paramount. For instance, in the gaming industry, a graphics processing unit (GPU) acts as a coprocessor to handle the high demand for rendering visuals, thus alleviating the burden from the CPU. Similarly, AI accelerators in smartphones and servers offload intensive AI computation tasks to speed up processing while conserving power.
You will find various coprocessor semiconductor IP products geared toward enhancing computational specialization. These include digital signal processors (DSPs) for processing real-time audio and video signals and hardware encryption coprocessors for securing data transactions. With the rise in machine learning applications, tensor processing units (TPUs) have become invaluable, offering massively parallel computing to efficiently manage AI workloads.
By incorporating these coprocessor semiconductor IPs into a system design, manufacturers can achieve remarkable improvements in speed, power efficiency, and processing power. This enables the development of cutting-edge technology products across a range of fields from personal electronics to autonomous vehicles, ensuring optimal performance in specialized computing tasks.
FortiPKA-RISC-V serves as a powerful public key accelerator for handling extensive cryptographic computations, which traditional CPUs struggle with. It is crafted to offload heavy computational tasks from the main processor, thereby optimizing performance and resource efficiency. By avoiding cumbersome data transformation processes, FortiPKA-RISC-V underscores its superior operational speed over other solutions, while being optimal in size and energy consumption. Its cryptographic algorithms are implemented in firmware executed via an embedded RISC-V core, with extended support for custom arithmetic operations, making it versatile across applications that demand high-efficiency cryptographic processing. Moreover, it offers hardware configuration options that balance between performance and resource utilization tailored for specific applications. Supporting an array of cryptography standards, such as RSA and elliptic curve algorithms, and equipped with features for robust defense against side-channel and fault injection attacks, FortiPKA-RISC-V is adaptable to diverse cryptographic environments and requirements. Whether integrated into networks, communications, or IoT devices, it delivers outstanding reliability and security across platforms.
The RV32IC_P5 Processor Core by IQonIC Works caters to medium-scale embedded applications that require robust performance. Featuring a five-stage pipeline design, it supports complex instruction sets ideal for diverse application coding requirements, including both trusted firmware and user applications. This core utilizes the RISC-V RV32I instruction set and supports the 'A', 'M', and optional 'N' extensions for atomic operations and integer arithmetic. To optimize code execution, the RV32IC_P5 core incorporates features like branch prediction with configurable branch target buffer and return address stack. It supports machine-mode and user-mode privileged architectures with the option for memory protection management for secure application execution. The core aims to deliver high performance with low latency and reduced branching delays. This processor is adaptable for both ASIC and FPGA projects and includes AHB-Lite interfaces, enabling flexible memory management and I/O mapping. Its design is bolstered by a suite of development tools, including a robust virtual prototyping framework that facilitates integration and testing in diverse development environments.
DolphinWare IPs is a versatile portfolio of intellectual property solutions that enable efficient SoC design. This collection includes various control logic components such as FIFO, arbiter, and arithmetic components like math operators and converters. In addition, the logic components span counters, registers, and multiplexers, providing essential functionalities for diverse industrial applications. The IPs in this lineup are meticulously designed to ensure data integrity, supported by robust verification IPs for AXI4, APB, SD4.0, and more. This comprehensive suite meets the stringent demands of modern electronic designs, facilitating seamless integration into existing design paradigms. Beyond their broad functionality, DolphinWare’s offerings are fundamental to applications requiring specific control logic and data integrity solutions, making them indispensable for enterprises looking to modernize or expand their product offerings while ensuring compliance with industry standards.
The CwIP-RT is a real-time processing core tailored for applications that necessitate rapid and efficient data processing. This powerful core is ideal for environments where time-sensitive data operations are critical, providing developers with a robust platform to execute complex data tasks seamlessly. The CwIP-RT is built to manage substantial data loads while maintaining precise operational efficiency, embodying Coreworks' commitment to high-performance computing solutions. Designed for diverse computing environments, the CwIP-RT offers flexibility and reliability, ensuring that it can adapt to the varying demands of real-time applications. Its architecture supports rapid data throughput, making it suitable for cutting-edge computing systems that require swift and efficient data handling. This processing core is engineered to integrate effortlessly with existing systems, providing enhanced processing capabilities without complicating system architecture. Coreworks' attention to detail in optimizing processing performance manifests in the CwIP-RT's design, which emphasizes both speed and accuracy. It's an essential tool for developers aiming to improve the responsiveness and processing power of their systems, making it invaluable for applications that include real-time analytics, IoT, and advanced computational tasks. With the CwIP-RT, Coreworks offers a solution that pushes the boundaries of real-time processing while ensuring stability and reliability.
The RV32EC_P2 Processor Core by IQonIC Works is engineered for small, low-power embedded applications, emphasizing dependable performance with its two-stage pipeline architecture. Compliant with the RISC-V RV32E base instruction set and User-Level ISA V2.2, it incorporates RVC compressed instructions for reduced code size. Optional 'M' standard extensions support integer multiplication and division, enhancing computational capabilities. This processor core is adaptable to both ASIC and FPGA design flows. It offers a simple machine-mode architecture with memory direct addressing, supporting 20 interrupts along with software and timer interrupts. Its clock-gating feature aids in reducing power consumption during idle states. Additionally, it supports tightly-coupled memory interfaces compatible with ASIC ROM and SRAM or FPGA block memories. The RV32EC_P2 core also integrates AHB-Lite or APB interfaces for expanded memory and I/O functionalities. Developers can utilize a diverse range of tools, including the GNU toolchain and the Eclipse IDE, for firmware development. This core is optimized for rapid implementation in trust-critical, embedded environments.
The MimicPro Prototyping System is a high-performance platform designed to elevate the prototyping process for ASICs and pre-silicon software development. Utilizing FPGA technology, it enables rapid development by significantly cutting down both design validation time and rerun efforts. MimicPro provides exceptional system visibility and debugging capabilities that allow developers to efficiently address software bugs without the need for expensive emulation equipment.<br> <br> Scalability is at the heart of the MimicPro System, allowing enterprises to prototype large ASIC families with a flexible setup ranging from 1 to 32 FPGAs. This modular design ensures the system can grow alongside business needs, whether it’s used for AI, vision, processor, communication, or other SoCs. Additionally, built-in security features enable encrypted prototyping, safeguarding user IPs in both cloud and enterprise deployments.<br> <br> The system boasts 120MGates of performance, equipped with a memory analyzer and compiler for enhanced functionality. Local memory debugging further assists in minimizing time-to-market while ensuring product reliability and efficiency. With support for cloud operations and seamless integration with current digital tools, MimicPro stands as a comprehensive solution catering to modern prototyping requirements.
Optimized for modern applications, Advanced Silicon's Specialty Microcontrollers are constructed on the robust RISC-V architecture. These microcontrollers integrate advanced coprocessing units that significantly elevate performance metrics in image processing applications. They are strategically designed to enable complex algorithms that cater to sectors such as medical imaging and interactive user interfaces. These microcontrollers facilitate high-speed processing with embedded machine learning algorithms, making them ideal for innovative touch screen solutions. The integration of capacitive sensing capability in these chips ensures they can handle intricate interactions, including multi-touch recognition and object detection even under challenging conditions like liquid and EMI interference. Advanced Silicon's commitment to versatility is exemplified in these microcontrollers, as they offer both single-chip and multi-chip solutions. This allows applications to range from small touch interfaces to expansive formats required in educational or collaborative environments. The Specialty Microcontrollers exhibit a perfect blend of high integration, accuracy, and power efficiency, positioning them as critical elements in next-generation electronic systems.
Adaptive Remaining Useful Life Estimator (ARULE) is a sophisticated tool designed for predictive analytics in complex systems. It accurately estimates prognostic quantities such as Remaining Useful Life (RUL), State-of-Health (SoH), and Prognostic Horizon (PH) by processing condition-based feature data. This allows maintenance teams to preemptively schedule repairs, reducing the risk of operational failures. ARULE leverages advanced prediction methods linked to Extended Kalman Filtering, making it versatile across electrical, mechanical, and electro-mechanical systems. ARULE's intuitive graphical user interface (GUI) supports Condition-based Maintenance (CBM), Prognostic Health Management (PHM), and Integrated Vehicle Health Management (IVHM) applications. Users can easily upload and process condition-based data (CBD) to generate essential prognostics, which help in evidence-based system replacements. This approach streamlines maintenance, reduces costs, and promotes system reliability. This estimator is part of the broader Sentinel Suite solution from Ridgetop Group, which integrates seamlessly with other components like sensors and application software. ARULE's utility is wide-ranging, applicable in power supply systems, battery management, industrial automation, and more, making it a cornerstone of effective health management strategies.
The RecAccel AI Platform sets a new standard for high-accuracy computing with its sophisticated architecture and comprehensive software stack, optimized for both accuracy and efficiency. Designed using the TSMC 7nm process, this platform caters to accelerating deep learning models, achieving more than 20 million inferences per second while consuming a mere 20 Watts, making it ideal for recommendation AI models. It incorporates NEUCHIPS' proprietary 8-bit coefficient quantization, ensuring precision that rivals 32-bit floating-point calculations while conserving power and enhancing performance. The RecAccel Platform also features a dedicated software development kit (SDK) that simplifies network operations with its automatic tool flow. It integrates a streaming engine, proprietary operators, and a calibrator, alongside tools for offline simulation and performance estimation. This platform is tailored for businesses seeking a reliable, efficient AI computing solution that scales effortlessly with their growing needs. Its advanced features make it particularly suited for robust AI-driven recommendation engines, providing them with the ability to operate at maximal efficiency without sacrificing accuracy or drawing excessive power.
The RecAccel N3000 PCIe card is an advanced AI recommendation solution, designed to deliver unparalleled performance in data inference. This state-of-the-art hardware is tailored for high-demand elastic data centers, offering exceptional reliability and acceleration capabilities for AI-based recommendation systems. The card leverages NEUCHIPS' proprietary RecAccel series AI chips to optimize AI tasks with impressive speed and efficiency. One of the standout features of the RecAccel N3000 is its deep integration with cloud recommendation architectures. The card boasts supreme algorithmic optimizations, data caching, and dynamic power management to meet the complex needs of compute-bound, latency-bound, memory-bound, and energy-bound applications. By advancing these functionalities, the N3000 ensures seamless scalability, enhancing performance linearly with the addition of extra cards. A key achievement of RecAccel N3000 is its success in industry benchmarks, particularly its performance in the MLPerf v3.0 DLRM Inference Benchmark. The card achieved an industry-leading performance-per-watt metric, evidencing its efficiency and sustainability in practical applications. Its patented FFP8 technology further enhances recommendation accuracy, achieving 99.99% precision, a crucial advancement for AI recommendation engines.
Wasiela presents ASIPs—Application Specific Instruction Set Processors—as customizable hardware accelerators designed for tailored performance in specific applications. These processors combine specialized instruction sets with low-power operation to enhance the efficiency and flexibility of digital processing tasks. ASIPs from Wasiela provide significant benefits in environments where task-specific adaptations are crucial for optimal performance.