Open-Source RISC-V-Based SoC Platform Enlists Deep Learning Accelerator

SiFive introduces what it’s calling the first open-source RISC-V-based SoC platform for edge inference applications based on NVIDIA's Deep Learning Accelerator (NVDLA) technology.

 

A demo shown  at the Hot Chips conference consists of NVDLA running on an FPGA connected via ChipLink to SiFive's HiFive Unleashed board powered by the Freedom U540, the first Linux-capable RISC-V processor. The complete SiFive implementation is suited for intelligence at the edge, where high-performance with improved power and area profiles are crucial. SiFive's silicon design capabilities and innovative business model enables a simplified path to building custom silicon on the RISC-V architecture with NVDLA.

Sponsored by Anritsu Company

New VNA technologies enable mmWave broadband testing to 220 GHz, helping researchers and engineers to overcome test challenges and simplify mmWave testing.

Application development in the mmWave frequencies is growing. Broadband testing over hundreds of GHz of bandwidth is subject to repeatability/accuracy deficits, and engineers demand solutions to help overcome challenges and simplify mmWave testing.

 

NVIDIA open-sourced its deep learning accelerator over a year ago to spark the creation of more AI silicon solutions. Open-source architectures such as NVDLA and RISC-V are essential building blocks of innovation for Big Data and AI solutions.

For more information, visit SiFive.

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