IEEE

Optimizing Structured-Sparse Matrix Multiplication in RISC-V Vector Processors

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 ...
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Photoshop tutorial: Enter the Matrix & embed a face into it

Photoshop cc 2014 tutorial showing how to create the unique computer screen, text effect as seen in the movie, “The Matrix” and how to embed a face into it. Photo provided by Shutterstock.com Image ID ...
blockchain

NVIDIA cuTile Python Guide Shows 90% cuBLAS Performance for Matrix Ops

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...
IEEE

FastLoad: Speeding Up Data Loading of Both Sparse Matrix and Vector for SpMV on GPUs

Abstract: Sparse Matrix-Vector Multiplication (SpMV) on GPUs has gained significant attention because of SpMV's importance in modern applications and the increasing computing power of GPUs in the last ...
C&EN

Tomography of Complex Coherence-Polarization Matrix of Random Vector Light for Phase Image Encoding

School of Physical Science and Technology & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China Suzhou Key Laboratory of Intelligent ...
Business Wire

SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center

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 ...