This project implements high-performance dense-dense, dense-sparse, and sparse-sparse matrix multiplication using C++ with configurable multi-threading, SIMD optimizations, and cache miss minimization ...
Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...
Since homomorphic encryption enables SIMD operations by packing multiple values into a vector of operations and enabling pairwise addition or multiplication operations, one (old) conventional method ...
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