high performance computing on graphics processing units: hgpu.org

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Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Hsi-Yu Schive, Ui-Han Zhang, Tzihong Chiueh

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenMP, Tesla C2050

March 18, 2011 by hgpu

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

M. Bernaschi, G. Parisi, L. Parisi

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 480, Package, Physics, Spin Systems, Tesla C1060, Tesla C2050

March 9, 2011 by hgpu

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Sandra Diaz-Pier, Salvador E. Venegas-Andraca, Jose Luis Gomez-Munoz

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Physics, Quantum Physics, SAT, Symbolic Computation

March 9, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

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Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 2011 by hgpu

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz, Manuel Tiglio, Gustavo Guerberoff

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Tags: CUDA, General Relativity and Quantum Cosmology, GPU cluster, nVidia, Physics

March 6, 2011 by hgpu

Building Correlators with Many-Core Hardware

Rob V. van Nieuwpoort and John W. Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI IL, ATI Radeon HD 4870, ATI Stream, Cell processor, CUDA, nVidia, Physics, Signal processing, Tesla C1060

March 3, 2011 by hgpu

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Stefan Turek, Dominik Goddeke, Christian Becker, Sven H.M. Buijssen, Hilmar Wobker

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Tags: Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Dominik Goddeke, Hilmar Wobker, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Stefan Turek

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Tags: CUDA, Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 2011 by hgpu

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

C. D. Ott, E. Schnetter, G. Allen, E. Seidel, J. Tao, B. Zink

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

A general relativistic evolution code on CUDA architectures

Burkhard Zink

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Tags: Astrophysics, CUDA, Finite difference, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Amr Hassan, Christopher J. Fluke

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, Review, Visualization

February 28, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Benchmarking GPU and CPU codes for Heisenberg spin glass overrelaxation

Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

General-purpose molecular dynamics simulations on GPU-based clusters

Application-guided tool development for architecturally diverse computation

Statistical constraints on binary black hole inspiral dynamics

Building Correlators with Many-Core Hardware

UCHPC – UnConventional High Performance Computing for Finite Element Simulations

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

A general relativistic evolution code on CUDA architectures

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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