Jee Whan Choi
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sparse tensor format
Learning Efficient Sparse Encoding for High-Performance Tensor Computations
We present ReLATE, a deep reinforcement learning framework for automatically constructing an efficient sparse tensor format
Human vs. AI – Who Is Better At Sparse Computation?
We ask whether AI is capable of handling the complexity of sparse computation on their own. Unfortunately (or fortnuately?) As of today, the answer is an astounding no. However, we can still leverage AI to augment human expertise.
Linearized Tensor Format for Performance-Portable Sparse Tensor Computation
We demonstrate the efficiency and performance-portability of encoding sparse tensors in a linearized format
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