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FPGA / PLD

The latest Electronics Weekly product news on FPGA (field-programmable gate array) and PLD (programmable logic device) devices to be (re)configured by a user after manufacturing.

A view from the RISC-V Summit

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The RISC-V Summit was held in Santa Clara, California, USA this week (3 – 6 December). The industry looked ahead to the potential of the open architecture and was a platform for the providers of core IP and development tools that make up its ecosystem. There were two announcements from IAR Systems in support of establishing a robust ecosystem for ...

FPGA-based neural network accelerator outperforms GPUs

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Xilinx Developer Forum: Claimed to be the highest performance convolutional neural network (CNN) on an fpga, Omnitek’s CNN is available now. The deep learning processing unit (DPU) is future-proofed, explained CEO Roger Fawcett, due to the programmability of the fpga. It was demonstrated as a GoogLeNet Inception-v1 CNN, using eight-bit integer resolution. It achieved 16.8 terra operations per second (TOPS) ...

ASIC asserts rights to ML chip market

Allied Market Research ML report

According to a report published by Allied Market Research, application specific integrated circuits (ASICs) will dominate the machine learning (ML) chip market. The Machine Learning Chip Market report forecasts the global ML chip market will be worth $37.8 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 40.8% between 2018 and 2025. The report considers chips by type ...

Partners bridge HLS and FPGA technology

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Designers can used the integrated development environment (IDE) to quickly go from C++ to FPGA using the HLS and Achronix’s ACE design tools. The combination can reduce the development effort for 5G wireless and other design applications that require high performance FPGA technology in SoCs, configured using a proven C‑based design flow. Ellie Burns, director of marketing, Calypto Systems division, Mentor said: “Achronix eFPGA offers a tremendous ...

Neural network accelerators for Lattice FPGAs

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Lattice has introduced two hardware artificial intelligence algorithm accelerators for its FPGAs, one for binarised neural networks (BNNs) and one for convolutional neural networks (CNNs). Both are aimed at implement neural networks in consumer and industrial network-edge products. They are not suitable for network training, which must be done elsewhere. ‘Binarized neural network (BNN) accelerator’ supports 1bit weights, has 1bit activation ...