Sep 1, 2020 · Abstract:TensorDash is a hardware level technique for enabling data-parallel MAC units to take advantage of sparsity in their input operand ...
Abstract: TensorDash is a hardware-based technique that enables data-parallel MAC units to take advantage of sparsity in their input operand streams.
Abstract—TensorDash is a hardware-based technique that enables data-parallel MAC units to take advantage of sparsity in their input operand streams.
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network ...
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TensorDash is a hardware-based technique that enables data-parallel MAC units to take advantage of sparsity in their input operand streams.
Sep 1, 2020 · Abstract. Abstract: TensorDash is a hardware level technique for enabling data-parallel MAC units to take advantage of sparsity.
Duration: 12:43
Posted: Feb 10, 2021
Posted: Feb 10, 2021
TensorDash Exploiting Sparsity to Accelerate Deep Neural Network Training. Publication: MICRO'2020. Problem to solve: The sparsity pattern during training is ...
Sep 1, 2020 · TensorDash is a hardware-based technique that enables data-parallel MAC units to take advantage of sparsity in their input operand streams ...
Sep 8, 2024 · TensorDash is a hardware level technique for enabling data-parallel MAC units to take advantage of sparsity in their input operand streams.
TensorDash [41] accelerates DNN training by skipping ineffective multiplyaccumulate (MAC) computation.Eager-Pruning [64] speeds up training by detecting and ...