Abstract: We can improve the inference throughput of deep convolutional networks mapped to FPGA-optimized systolic arrays, at the expense of latency, with array partitioning and layer pipelining.

SAN JOSE, Calif., April 20, 2020 /PRNewswire/ -- Silexica (silexica.com) has announced the release of SLX FPGA 2020.1, which can now process and analyze the hls::stream template class and support ...

An increasing amount of system-on-chip design activity today seems to target field-programmable gate arrays (FPGAs) rather than application-specific ICs. Often this is simply an intermediate target to ...

Abstract: When one considers execution of tasks in data center, FPGAs (Field Programmable Gate Arrays) based accelerators can offer speed-up in execution for a wide variety of tasks and are more power ...

Most of today's system-on-chip (SoC) designs rely on field-programmable gate arrays (FPGAs) as a way to accelerate verification, start software development early and validate the whole system before ...

Gaps are widening in the prototyping of large, complex chips because the speed and capacity of the FPGA is not keeping pace with rapid rollout pace of advanced ASICs. This is a new twist for a ...

New York, June 08, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Field Programmable Gate Array (FPGA) Market - Growth, Trends, COVID ...