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hgpu.org » Tesla P4

pSTL-Bench: A Micro-Benchmark Suite for Assessing Scalability of C++ Parallel STL Implementations

Ruben Laso, Diego Krupitza, Sascha Hunold
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February 18, 2024 by hgpu

Accelerating Deep Learning Inference with Cross-Layer Data Reuse on GPUs

Xueying Wang, Guangli Li, Xiao Dong, Jiansong Li, Lei Liu, Xiaobing Feng
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July 19, 2020 by hgpu

HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy

Yao Chen, Xin Long, Jiong He, Yuhang Chen, Hongshi Tan, Zhenxiang Zhang, Marianne Winslett, Deming Chen
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May 24, 2020 by hgpu

Recent source codes

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SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs
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LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

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PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization
DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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HPX: a C++ Standard Library for Concurrency and Parallelism

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TorchQC – A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control
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Matrix multiplication using Tensor Cores in CUDA

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