Design-Reuse

A custom RISC-V vector instruction to accelerate structured-sparse matrix multiplications

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...
insideHPC

Video: Increasing Efficiency of Sparse Matrix-Matrix Multiplication

In this video from PASC17, Alfio Lazzaro (University of Zurich, Switzerland) presents: Increasing Efficiency of Sparse Matrix-Matrix Multiplication. “Matrix-matrix multiplication is a basic operation ...
Semiconductor Engineering

ISA and Microarchitecture Extensions Over Dense Matrix Engines to Support Flexible Structured Sparsity for CPUs (Georgia Tech, Intel Labs)

A technical paper titled “VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs” was published (preprint) by researchers at Georgia Tech and Intel Labs. “Deep ...
JSTOR Daily

Structured Preconditioners for Nonsingular Matrices of Block Two-by-Two Structures

For the large sparse block two-by-two real nonsingular matrices, we establish a general framework of practical and efficient structured preconditioners through matrix transformation and matrix ...