Category: Acceleration

• Can FPGAs outperform GPUs for some AI workloads? Answer: Yes For many AI workloads, it can be challenging to achieve the full compute capacity reported by GPU vendors. Even for highly parallel computation such as general matrix multiplication (GEMM), GPUs can only achieve high utilization at certain large matrix sizes. FPGAs offer a different approach to AI-optimized hardware. Unlike GPUs, FPGAs offer unique fine-grained spatial reconfigurability where the output of...
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• Free Webinar: Using Intel® oneAPI™ to Achieve High-Performance Compute Acceleration with FPGAs Interested in learning how to use the Intel® oneAPI™ open, unified programming model to accelerate data-centric workloads using FPGAs? Then sign up for the free Webinar titled “Using Intel oneAPI to Achieve High-Performance Compute Acceleration with FPGAs.” It’s being presented on March 23 and March 25 by Intel and Bittware. The Webinar will zero in a real-world, 2D FFT workload...
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• Free Webinar: Accelerate FPGA Programming using Data Parallel C++ (DPC++) and the Intel® oneAPI Base Toolkit with the Intel® FPGA Add-on Are you curious about using Intel® oneAPI and Data Parallel C++ (DPC++) to develop FPGA accelerators? Sign up for this free Webinar that will show you how to use two free tools – the Intel® oneAPI Base Toolkit (Base Kit) and the Intel® FPGA Add-on for the oneAPI Base Toolkit – to speed programming of Intel® FPGAs. Webinar topics include:...
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• NextPlatform.com article describes Intel® oneAPI use at CERN for Large Hadron Collider (LHC) research Independent consultant James Reinders has just published a comprehensive article on the NextPlatform.com Web site titled “CERN uses [Intel®] DL Boost, oneAPI to juice inference without accuracy loss,” which describes the use of deep learning and Intel® oneAPI by CERN to accelerate Monte Carlo simulations for Large Hadron Collider (LHC) research. Reinders writes that CERN researchers “have demonstrated success in...
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• Biz Tech thought leader Dez Blanchfield’s recent podcast discusses infrastructure and application acceleration using FPGAs, SmartNICs, and Intel® eASIC™ structured ASICs with Intel’s Jim Dworkin Business and digital transformation strategy thought leader Dez Blanchfield regularly posts podcasts in a series titled “Conversations with Dez” about topics of interest to the technology industry. He recently interviewed Jim Dworkin, Senior Director of the Cloud Business Unit in the Programmable Solutions Group at Intel and the two have a wide-ranging discussion that touches on data center architecture and...
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• FPGA-based reference design from Algo-Logic and Intel cuts high-speed financial trading latency by 3.8X Algo-Logic and Intel have developed a high-speed reference framework design that offloads the network stack required for high-speed financial trading to logic instantiated in an Intel® Stratix® 10 FPGA on the Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) D5005 platform. The reference design includes: A fast PCIe interface (the Algo-Logic Fast Data Mover) A C/C++ to FPGA business logic...
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• BittWare’s 520NX Accelerator Card harnesses AI-optimized power of the Intel® Stratix® 10 NX FPGA BittWare has just announced the 520NX AI Accelerator PCIe card based on the AI-optimized Intel® Stratix® 10 NX FPGA, which incorporates specialized AI Tensor blocks with a theoretical peak computational speed of 143 INT8 TOPS and 8 Gbytes of in-package, stacked high-bandwidth memory (HBM2). In addition to the Intel Stratix 10 NX FPGA’s internal resources, the 520NX AI Accelerator card’s...
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• Intel® Open FPGA Stack Eases Development of Custom Acceleration Platform Solutions The developer’s dilemma for any new FPGA-based acceleration platform, comprising FPGA hardware design, host software stack and application workloads, centers on how much to develop from scratch versus reuse or license. Schedules are often tight and the design team may not have all of the necessary hardware, software, and application development expertise. The new Intel® Open FPGA Stack (Intel® OFS)...
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• BittWare IA-840F FPGA Accelerator PCIe Card bristles with high-speed I/O, is based on an Intel® Agilex™ FPGA The BittWare IA-840F FPGA Accelerator PCIe Card bristles with high-performance I/O capabilities including two QSFP-DD optical cages (together capable of supporting four 100G Ethernet ports), a PCIe Gen4 x16 host interface, and three MCIO expansion ports for diverse applications. The MCIO ports can be used for high-bandwidth, low-latency, board-to-board communications or for high-speed connections to peripheral devices such as NVMe...
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• Gold Release of Intel® oneAPI Toolkits arrive in December: One Programming Model for a Heterogeneous World of CPUs, GPUs, and FPGAs This week at the Supercomputing 2020 (SC20) conference, Intel announced that the gold release of the Intel® oneAPI toolkits will become available next month. The oneAPI industry initiative is creating a unified and simplified cross-architecture programming model that delivers uncompromised performance without proprietary lock-in, while allowing you to integrate legacy code. Intel oneAPI Toolkits allow you to create code for...
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