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 ...
Matrix multiplication is a fundamental operation in deep learning. Given two matrices A and B, we want to compute their product C = A × B. For simplicity, let's consider the case where all matrices ...
Abstract: Sparse Matrix-Multivector (SpMM) multiplication is a key kernel for deep learning models and scientific computing applications. However, achieving high performance for SpMM on GPUs is ...
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