Abstract: Sparse matrix vector multiplication (SpMV) is one of the most common operations in scientific and high-performance applications, and is often responsible for the application performance ...
XDA Developers on MSN
Arm skipped the NPU hype, making the CPU great at AI instead
Arm's answer to the NPU hype was to skip it entirely, instead focusing on improving AI targeted at the CPU and letting ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...
SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center New X100 Series Joins Upgraded X200, X300 and XM IP to Address Growing ...
SINGAPORE, Sept 6 — Chip design workers at Chinese tech giant ByteDance, many based in Beijing or Shanghai, unexpectedly found out last week that they are part of a Singapore unit, three people ...
Abstract: The multiplication of a sparse matrix with a dense vector (SpMV) is a key component in many numerical schemes and its performance is known to be severely limited by main memory access.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback