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Implementation of Autoencoders with Systolic Arrays through OpenCL

Rafael Gadea-Gironés, Vicente Herrero-Bosch, Jose Monzó-Ferrer, Ricardo Colom-Paleros

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Tags: Algorithms, Computer science, Deep learning, FPGA, HLS, Neural networks, OpenCL

January 17, 2021 by hgpu

Fast convolutional neural networks on FPGAs with hls4ml

Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang

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Tags: Benchmarking, Computer science, Deep learning, FPGA, Neural networks, Package

January 17, 2021 by hgpu

Efficient Nearest-Neighbor Data Sharing in GPUs

Negin Nematollahi, Mohammad Sadrosadati, Hajar Falahati, Marzieh Barkhordar, Mario Paulo Drumond, Hamid Sarbazi-Azad, Babak Falsafi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 980, Stencil computation

January 10, 2021 by hgpu

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang

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Tags: Artificial intelligence, Computer science, Deep learning, nVidia, nVidia GeForce RTX 2080 Ti, Package

January 10, 2021 by hgpu

Hardware Acceleration of HPC Computational Flow Dynamics using HBM-enabled FPGAs

Tom Hogervorst, Tong Dong Qiu, Giacomo Marchiori, Alf Birger, Markus Blatt, Razvan Nane

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Tags: Computer science, CUDA, FPGA, Hardware Architecture, HPC, OpenCL, Sparse

January 10, 2021 by hgpu

Design, Implementation and Test of Efficient GPU to GPU Communication Methods

Stepan Vanecek

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Tags: AMD Radeon Instinct Mi50, ATI, Computer science, Heterogeneous systems, HIP, MPI, nVidia DGX-1, Thesis

January 3, 2021 by hgpu

I/O Lower Bounds for Auto-tuning of Convolutions in CNNs

Xiaoyang Zhang, Junmin Xiao, Guangming Tan

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Tags: Auto-Tuning, CNN, Computer science, CUDA, Deep learning, Neural networks, nVidia, nVidia GeForce GTX 1080 Ti, Tesla V100

January 3, 2021 by hgpu

Interactive Parallelization of C Programs in SAPFOR

Nikita Kataev

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Tags: Computer science, CUDA, LLVM, nVidia, nVidia GeForce GTX 1660 Ti, OpenCL, Package, Performance

January 3, 2021 by hgpu

Thermal Safety and Real-Time Predictability on Heterogeneous Embedded SoC Platforms

Seyed Mehdi Hosseini Motlagh

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Tags: Computer science, DSP, Heterogeneous systems, SoC, Thesis

January 3, 2021 by hgpu

Fast CUDA-Aware MPI Datatypes without Platform Support

Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 1070, Tesla V100

January 3, 2021 by hgpu

When Machine Learning Meets Quantum Computers: A Case Study

Weiwen Jiang, Jinjun Xiong, Yiyu Shi

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Tags: Computer science, CUDA, FPGA, Machine learning, Neural networks, nVidia, Quantum computing

December 27, 2020 by hgpu

Solving Mixed Integer Programs Using Neural Networks

Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols

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Tags: Computer science, Deep learning, Machine learning, Mathematics, Neural networks, nVidia

December 27, 2020 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

Implementation of Autoencoders with Systolic Arrays through OpenCL

Fast convolutional neural networks on FPGAs with hls4ml

Efficient Nearest-Neighbor Data Sharing in GPUs

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

Hardware Acceleration of HPC Computational Flow Dynamics using HBM-enabled FPGAs

Design, Implementation and Test of Efficient GPU to GPU Communication Methods

I/O Lower Bounds for Auto-tuning of Convolutions in CNNs

Interactive Parallelization of C Programs in SAPFOR

Thermal Safety and Real-Time Predictability on Heterogeneous Embedded SoC Platforms

Fast CUDA-Aware MPI Datatypes without Platform Support

When Machine Learning Meets Quantum Computers: A Case Study

Solving Mixed Integer Programs Using Neural Networks

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gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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