This is the course page for an 18.S096 Special Subject in Mathematics at MIT taught in January 2023 (IAP) by Professors Alan Edelman and Steven G. Johnson. For a previous version of this course, see ...
ABSTRACT: In Kronecker products works, matrices are sometimes regarded as vectors and vectors are sometimes made in to matrices. To be precise about these reshaping we use the vector and diagonal ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) on GPUs has gained significant attention because of SpMV's importance in modern applications and the increasing computing power of GPUs in the last ...
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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 ...
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