The Mentor Graphics FPGA Design Tool Flow Mentor Graphics is continuing its commitment to provide a comprehensive, fully integrated suite of design tools tailored for the next generation of ...
Recently, Brian Bailey organized a round table that resulted in a two-part article called Supporting CPUs Plus FPGAs. The experts discussed the evolving reality of systems design based on FPGAs and ...
FPGA design starts are on the rise due to the lower startup costs and re-programmability that FPGA devices can provide. However, large, complex FPGA devices pose significant challenges to an FPGA ...
When you think about it, logic synthesis is a vital but rather intimidating part of modern chip design. This process takes a high-level description of intended functionality, written in an RTL ...
Time-saving verification tools have been added to an advanced tool flow for high-end FPGA design. The flow, a collaboration between Xilinx Inc. of San Jose and Synopsys Inc. of Mountain View, Calif., ...
Combined tool flows simplify development of low power, small footprint Lattice FPGA-based products for industrial, automotive, communications and computing, and consumer applications “The relationship ...
Microsemi’s Libero SoC design suite V12.0 reduces design flow runtimes, while providing a unified platform for multiple FPGA families, including the latest PolarFire production releases. Improving ...
A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...
SAN JOSE, Calif., Oct. 1, 2019 /PRNewswire/ -- Silexica (silexica.com) announced today that they are demonstrating SLX FPGA with the new Xilinx Vitis Unified Software Platform announced today at the ...
HILLSBORO, Ore.--(BUSINESS WIRE)-- Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced availability of the latest version of its popular FPGA design ...
Most analysts agree that this year, the growth rates of field-programmable gate arrays (FPGAs) will actually double that of application-specific integrated circuits (ASICs). Of course, FPGAs have been ...
Despite some of the inherent complexities of using FPGAs for implementing deep neural networks, there is a strong efficiency case for using reprogrammable devices for both training and inference.