insideHPC

Whitepaper: Accelerated Sparse Triangular Linear Systems

A new whitepaper looks at Accelerated Sparse Triangular Linear Systems: “Fresh from NVIDIA Numeric Libraries Team, a white paper illustrating the use the CUSPARSE and CUBLAS libraries to achieve a 2x ...
insideHPC

ECP: SuperLU Library Speeds Direct Solution of Large Sparse Linear Systems on HPC and Exascale Hardware

HPC and AI technology consultant and author Rob Farber wrote this article on behalf of the Exascale Comuting Project. In a June 2020 overview of direct solvers on the National Energy Research ...
Nature

Sparse Matrix Computations on Graphics Processing Units

Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical simulations and data analyses demand efficient management of large, ...
Semiconductor Engineering

SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems

“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...
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 ...