Abstract: Efficiently synthesizing an entire application that consists of multiple algorithms for hardware implementation is a very difficult and unsolved problem. One of the main challenges is the ...
Abstract: Matrix multiplication is a fundamental operation in various algorithms for big data analytics and machine learning. As the size of the dataset increases rapidly, it is now a common practice ...
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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