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 ...
FPS Randy Pitchford says Borderlands 4's story is inspired by the sale of Gearbox, then glazes over and says it's about where we as individuals want to be on the spectrum of anarchy to fascism FPS ...
IBM's new Power11 servers aim to address growing modernization needs in the enterprise datacenter, expanding the Power lineup to cover new use cases. IBM recently achieved its highest market cap ever.
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Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...
Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately ...
I want to run matrix multiplication example, single core, placed implementation for matrices of type bf16. Also, I want to run a non vectorized version. The issue I encounter: I can run this for ...
Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Abstract: While the Karatsuba algorithm reduces the complexity of large integer multiplication, the extra additions required minimize its benefits for smaller integers of more commonly-used bitwidths.