high performance computing on graphics processing units: hgpu.org

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General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

Yutaro Akahoshi, Sinya Aoki, Tatsumi Aoyama, Issaku Kanamori, Kazuyuki Kanaya, Hideo Matsufuru, Yusuke Namekawa, Hidekatsu Nemura, Yusuke Taniguchi

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Tags: GPU cluster, HEP, High Energy Physics - Lattice, Numerical simulation, nVidia, OpenACC, Package, Physics, QCD, Tesla V100

November 14, 2021 by hgpu

ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX

Christie Alappat, Nils Meyer, Jan Laukemann, Thomas Gruber, Georg Hager, Gerhard Wellein, Tilo Wettig

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Tags: Computer science, CUDA, nVidia, Optimization, Package, Physics, QCD, Sparse matrix, Tesla V100

March 14, 2021 by hgpu

Classify QCD phase transition with deep learning

Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stoecker, Xin-Nian Wang

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Tags: Deep learning, HEP, Machine learning, Neural networks, OpenCL, Package, Pattern recognition, Phase transition, Physics, QCD

June 2, 2019 by hgpu

Towards Lattice Quantum Chromodynamics on FPGA devices

Grzegorz Korcyl, Piotr Korcyl

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Tags: FPGA, High Energy Physics - Lattice, HLS, Physics, QCD

October 13, 2018 by hgpu

AVX-512 extension to OpenQCD 1.6

Ed Bennett, Mark Dawson, Michele Mesiti, Jarno Rantaharju

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Tags: High Energy Physics - Lattice, Intel Xeon Phi, Package, Physics, QCD

June 20, 2018 by hgpu

Practical Implementation of Lattice QCD Simulation on Intel Xeon Phi Knights Landing

Issaku Kanamori, Hideo Matsufuru

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Tags: Computational Physics, High Energy Physics - Lattice, Intel Xeon Phi, Numerical simulation, Physics, QCD

December 7, 2017 by hgpu

MILC Code Performance on High End CPU and GPU Supercomputer Clusters

Ruizi Li, Carleton DeTar, Steven Gottlieb, Doug Toussaint

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, Performance, Physics, QCD, Tesla K20, Tesla P100

December 7, 2017 by hgpu

Lattice QCD on new chips: a community summary

Antonio Rago

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Tags: CUDA, HEP, High Energy Physics - Lattice, Intel Xeon Phi, MPI, nVidia, OpenMP, Physics, QCD, Review, Tesla V100

November 7, 2017 by hgpu

Wilson and Domainwall Kernels on Oakforest-PACS

Issaku Kanamori, Hideo Matsufuru

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Tags: HEP, High Energy Physics - Lattice, Intel Xeon Phi, Mathematical Software, MPI, OpenMP, Package, Physics, QCD

October 21, 2017 by hgpu

Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System

Taisuke Boku, Ishikawa Ken-Ichi, Yoshinobu Kuramashi, Lawrence Meadows

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Tags: Computational Physics, High Energy Physics - Lattice, Intel Xeon Phi, Mixed precision, MPI, OpenMP, Package, Physics, QCD

September 28, 2017 by hgpu

Optimization of the Brillouin operator on the KNL architecture

Stephan Durr

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Tags: High Energy Physics - Lattice, Intel Xeon Phi, OpenMP, Physics, QCD

September 12, 2017 by hgpu

Lattice Quantum Chromodynamics on Intel Xeon Phi based supercomputers

Peter Labus

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Tags: Algorithms, HEP, Heterogeneous systems, Intel Xeon Phi, OpenMP, Physics, QCD, Thesis

April 26, 2017 by hgpu

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Prediction of Performance and Power Consumption of GPGPU Applications

Descend: an attempt at safe imperative GPU programming

Descend: A Safe GPU Systems Programming Language

Redwood heterogeneous framework

Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads

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high performance computing on graphics processing units: hgpu.org

General purpose lattice QCD code set Bridge++ 2.0 for high performance computing

ECM modeling and performance tuning of SpMV and Lattice QCD on A64FX

Classify QCD phase transition with deep learning

Towards Lattice Quantum Chromodynamics on FPGA devices

AVX-512 extension to OpenQCD 1.6

Practical Implementation of Lattice QCD Simulation on Intel Xeon Phi Knights Landing

MILC Code Performance on High End CPU and GPU Supercomputer Clusters

Lattice QCD on new chips: a community summary

Wilson and Domainwall Kernels on Oakforest-PACS

Mixed Precision Solver Scalable to 16000 MPI Processes for Lattice Quantum Chromodynamics Simulations on the Oakforest-PACS System

Optimization of the Brillouin operator on the KNL architecture

Lattice Quantum Chromodynamics on Intel Xeon Phi based supercomputers

Recent source codes

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

AutoDock for GPUs and other accelerators

spotPython: Sequential Parameter Optimization in Python

Test benchmarks for CELERITY

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

Prediction of Performance and Power Consumption of GPGPU Applications

Descend: an attempt at safe imperative GPU programming

Redwood heterogeneous framework

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