high performance computing on graphics processing units: hgpu.org

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Gravitational tree-code on graphics processing units: implementation in CUDA

Evghenii Gaburov, Jeroen Bedorf, Simon P. Zwart

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8800 Ultra, Package, Physics

November 9, 2010 by hgpu

Efficient pseudo-random number generators for biomolecular simulations on graphics processors

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

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Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Pseudo-random number generators

November 9, 2010 by hgpu

Viewpoints: A high-performance high-dimensional exploratory data analysis tool

P.R. Gazis, C. Levit, M.J.Way

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 7950 GTX, OpenGL, Physics, Statistics and Probability, Visualization

November 9, 2010 by hgpu

Analysing Astronomy Algorithms for GPUs and Beyond

Benjamin R. Barsdell, David G. Barnes, Christopher J. Fluke

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Tags: Algorithms, Astrophysics, Instrumentation and Methods for Astrophysics, Physics

November 8, 2010 by hgpu

Integrating Post-Newtonian Equations on Graphics Processing Units

Frank Herrmann, John Silberholz, Matias Bellone, Gustavo Guerberoff, Manuel Tiglio

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Earth and Planetary Astrophysics, Galaxy Astrophysics, General Relativity and Quantum Cosmology, High Energy Astrophysical Phenomena, Instrumentation and Methods for Astrophysics, nVidia, Physics, Solar and Stellar Astrophysics, Tesla S1070

November 8, 2010 by hgpu

Graphic-Card Cluster for Astrophysics (GraCCA) – Performance Tests

Hsi-Yu Schive, Chia-Hung Chien, Shing-Kwong Wong, Yu-Chih Tsai, Tzihong Chiueh

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Tags: Astrophysics, CUDA, GPU cluster, Gravitation, MPI, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Physics, Stellar dynamics

November 8, 2010 by hgpu

Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU)

K. Hagiwara, J. Kanzaki, N. Okamura, D. Rainwater, T. Stelzer

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Tags: Computational Physics, CUDA, High Energy Physics - Phenomenology, nVidia, nVidia GeForce GTX 280, Physics

November 8, 2010 by hgpu

GPUs for data processing in the MWA

S. Ord, L. Greenhill, R. Wayth, D. Mitchell, K. Dale, H. Pfister, R. G. Edgar

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Physics, Tesla C1060

November 8, 2010 by hgpu

GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model

Tobias Preis, Peter Virnau, Wolfgang Paul, Johannes J. Schneider

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Tags: CUDA, Finite size scaling, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Package, Phase transition, Physics

November 8, 2010 by hgpu

Solving lattice QCD systems of equations using mixed precision solvers on GPUs

M. A. Clark, R. Babich, K. Barros, R. C. Brower, C. Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Package, Physics, QCD

November 8, 2010 by hgpu

Parallel, distributed and GPU computing technologies in single-particle electron microscopy

M. Schmeisser, B. C. Heisen, M. Luettich, B. Busche, F. Hauer, T. Koske, K. H. Knauber, H. Stark

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Tags: Biology, Cg, Cluster computing, Electron microscopy, GLSL, MPI, nVidia, OpenGL, Physics

November 8, 2010 by hgpu

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

Junqi Yin, D. P. Landau

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, MPI, nVidia, nVidia GeForce GTX 285, Phase transition, Physics, Statistical Mechanics

November 8, 2010 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

See all packages

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high performance computing on graphics processing units: hgpu.org

Gravitational tree-code on graphics processing units: implementation in CUDA

Efficient pseudo-random number generators for biomolecular simulations on graphics processors

Viewpoints: A high-performance high-dimensional exploratory data analysis tool

Analysing Astronomy Algorithms for GPUs and Beyond

Integrating Post-Newtonian Equations on Graphics Processing Units

Graphic-Card Cluster for Astrophysics (GraCCA) – Performance Tests

Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU)

GPUs for data processing in the MWA

GPU accelerated Monte Carlo simulation of the 2D and 3D Ising model

Solving lattice QCD systems of equations using mixed precision solvers on GPUs

Parallel, distributed and GPU computing technologies in single-particle electron microscopy

Phase diagram and critical behavior of the square-lattice Ising model with competing nearest- and next-nearest-neighbor interactions

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

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

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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