This paper introduces a GPU architecture named Duplo that minimizes redundant memory accesses of convolutions in deep neural networks (DNNs).
Oct 1, 2020 · A GPU architecture named Duplo is introduced that minimizes redundant memory accesses of convolutions in deep neural networks (DNNs) by ...
Feb 10, 2021 · Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores. 211 views · 3 years ago ...more. MICRO Symposium. 575.
A GPU architecture that resolves the data duplication problem of GEMM-based convolution using tensor cores. Duplo leverages a compiler support to generate a set ...
Duplo Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores - Kim et al. - 2020. Course: Analog Circuits (AC 2018). 6 Documents.
Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores ... GPU-friendly parallel genome matching with tiled access and ...
This article presents a graphics processing unit (GPU) scheduling scheme that maximizes the exploitation of data locality in deep neural networks (DNNs).
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Jul 30, 2023 · [MICRO '20] Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores ... neural networks via GPU tensor core ...
Feb 11, 2022 · Duplo: Lifting redundant memory accesses of deep neural networks for gpu tensor cores. In 2020 53rd. Annual IEEE/ACM International Symposium ...
May 8, 2024 · Energy-Efficient Acceleration of Deep Neural Networks ... Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores.