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10/29/2022
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler
Pipelining between data loading and computation is a critical tensor pro...
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03/09/2022
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning
Weight pruning in deep neural networks (DNNs) can reduce storage and com...
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10/12/2021
LightSeq2: Accelerated Training for Transformer-based Models on GPUs
Transformer-based neural models are used in many AI applications. Traini...
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06/30/2021
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction
Sparse matrix-vector and matrix-matrix multiplication (SpMV and SpMM) ar...
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07/07/2020
