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SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations

Lukas Mazur, Dennis Bollweg, David A. Clarke, Luis Altenkort, Olaf Kaczmarek, Rasmus Larsen, Hai-Tao Shu, Jishnu Goswami, Philipp Scior, Hauke Sandmeyer, Marius Neumann, Henrik Dick, Sajid Ali, Jangho Kim, Christian Schmidt, Peter Petreczky, Swagato Mukherjee

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Tags: Algorithms, AMD Radeon Instinct MI250X, ATI, CUDA, High Energy Physics - Lattice, HIP, MPI, nVidia, nVidia A100, Package, Physics, QCD

June 11, 2023 by hgpu

GPU-Acceleration of Tensor Renormalization with PyTorch using CUDA

Raghav G. Jha, Abhishek Samlodia

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce RTX 2080 Ti, Physics, PyTorch

June 4, 2023 by hgpu

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

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

Machines and Algorithms

Peter A Boyle

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Tags: Algorithms, Computational Physics, CUDA, HEP, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, Physics, QCD, Review

February 7, 2017 by hgpu

miniBUDE: A BUDE virtual-screening benchmark, in many programming models

Evaluation of FPGA-based high performance computing platforms

gossip: Efficient Communication Primitives for Multi-GPU Systems

Accelerating bioinformatics applications on CUDA-enabled multi-GPU systems

GT4Py: GridTools for Python

GT4Py: High Performance Stencils for Weather and Climate Applications using Python

AUCMEDI: a framework for Automated Classification of Medical Images

Frameworks in Medical Image Analysis with Deep Neural Networks

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C+

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C+

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

AFOCL: Portable OpenCL Programming of FPGAs via Automated Built-in Kernel Management

AFOCL: Portable OpenCL Programming of FPGAs via Automated Built-in Kernel Management

pp-template: Template for Performance-Portable code development, targeting HOST-DEVICE computer architectures

An approach to performance portability through generic programming

Redco: A Lightweight Tool to Automate Distributed Training

Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs

OpenRAND: Reproducible Random Number For Parallel Computations

OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations

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