For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

In an effort to maintain US' technological edge, President Donald Trump has imposed tariffs and, at various points, tightened ...

AMD and Intel have teamed up to create a shared AI computing standard that could make future PCs and laptops faster at ...

A supercomputer in Shenzhen was declared the world’s fastest. It uses only standard microprocessors and not the ...

The theory of electromagnetism, as formulated by James Clerk Maxwell in the latter half of the nineteenth century, stands as one of the most profound achievements in classical physics. Notably, ...

Non-core showcase modules and AI governance layers have been removed to keep the codebase smaller and easier to maintain.

Artificial intelligence is currently an active topic in both scientific research and commercial application as well as daily life. The linear operations of high-dimensional vectors are fundamental and ...

Abstract: Recurrent Neural Networks (RNNs) spend most of their execution time performing matrix-vector multiplication (MV-mul). Because the matrices in RNNs have poor reusability and the ...

Abstract: We present the design and implementation of a universal, single-bit stream library for accelerating matrix-vector multiplication using FPGAs. Our library handles multiple matrix encodings ...

稀疏矩阵-向量乘法（SpMV）在科学计算、机器学习（ML）和图分析等众多应用中至关重要。尽管最近的研究在加速配备HBM的FPGA上的SpMV方面取得了巨大进展，但在处理非平衡稀疏矩阵的SpMV时仍存在多个挑战，这些矩阵中非零元素的分布在不同行之间是不对称的。