Abstract: We propose an efficient quantum subroutine for matrix multiplication that computes a state vector encoding the entries of the product of two matrices in superposition. The subroutine ...
The extracellular matrix is a complex network of material such as proteins and polysaccharides that are secreted locally by cells and remain closely associated with them to provide structural, ...
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 ...
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...
This project contains the codes for DTC-SpMM, a recent work aimed at enhancing the performance of general-purpose Sparse Matrix-Matrix Multiplication (SpMM) on GPUs equipped with Tensor Cores. This ...
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