IEEE Spectrum on MSN

Better hardware could turn zeros into AI heroes

Sparse computing enables leaner, faster AI ...
IEEE

Energy Efficient Exact and Approximate Systolic Array Architecture for Matrix Multiplication

Abstract: Deep Neural Networks (DNNs) require highly efficient matrix multiplication engines for complex computations. This paper presents a Systolic Array (SA) architecture incorporating novel exact ...
IEEE

Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication

Abstract: We consider the distributed memory parallel multiplication of a sparse matrix by a dense matrix (SpMM). The dense matrix is often a collection of dense vectors. Standard implementations will ...
GitHub

Feature Request: Expose saddmm (Sampled Dense-Dense Matrix Multiplication) for sparse tensors

I would like to request exposing the at::saddmm (or sampled_addmm) function from the C++ libtorch backend to the R torch interface. This function performs a Sampled Dense-Dense Matrix Multiplication.