“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
This paper came across my feed that implements sparse matrix-vector multiplication. Sparse matrix-vector multiplication (SpMV) is a fundamental operation in scientific computing, data analysis, and ...
Floral Seamless Pattern of Sparse White Flowers on Pink Background. Wallpaper Design for Textiles, Fabrics, Decorations, Papers Prints, Fashion Backgrounds, Wrappings Packaging. Royalty-free licenses ...
And it's not just because the technology is brand new. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google At ...
Hand-tuned WebAssembly implementations for efficient execution of web-based sparse computations including Sparse Matrix-Vector Multiplication (SpMV), sparse triangular solve (SpTS) and other useful ...
The world of scientific computing and machine learning heavily relies on tensor computations. Many tensors encountered in physics, chemistry, linear algebra, and graph theory exhibit symmetry and ...
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: An improved variant of the precise-integration time-domain (PITD) method is proposed to eliminate the inverse matrix calculation and optimize the storage burden with the help of sparse ...
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