high performance computing on graphics processing units: hgpu.org

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Teraflop per second gravitational lensing ray-shooting using graphics processing units

Alexander C. Thompson, Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Gravitational lensing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8800 GT, Tesla S1070

November 9, 2010 by hgpu

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units: An implementation in CUDA (thesis)

Jeroen Bedorf

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Tags: Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Package, Stellar dynamics

November 9, 2010 by hgpu

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units

Simon P. Zwart, Robert Belleman, Peter Geldof

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Tags: Astrophysics, Cg, Gravitation, N-body simulation, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 1400, OpenGL, Package, Stellar dynamics

November 9, 2010 by hgpu

Running the NIM Next-Generation Weather Model on GPUs

Mark W. Govett, Jacques Middlecoff, Tom Henderson

Tags: CUDA, Earth and Space Sciences, nVidia, Weather Prediction Model

November 9, 2010 by hgpu

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Garnett Wilson, Wolfgang Banzhaf

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Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Xbox 360

November 9, 2010 by hgpu

Fast and informative flow simulations in a building by using fast fluid dynamics model on graphics processing unit

Wangda Zuo, Qingyan Chen

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX

November 9, 2010 by hgpu

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

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

Weihang Zhu

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Tags: Computer science, CUDA, Differential evolution, Finance, nVidia, nVidia GeForce GTX 280, Pattern Search

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

ABC-SysBio–approximate Bayesian computation in Python with GPU support

Juliane Liepe, Chris Barnes, Erika Cule, Kamil Erguler, Paul Kirk, Tina Toni, Michael P. H. Stumpf

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Python

November 9, 2010 by hgpu

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Software Engineering

November 9, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

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

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Teraflop per second gravitational lensing ray-shooting using graphics processing units

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units: An implementation in CUDA (thesis)

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units

Running the NIM Next-Generation Weather Model on GPUs

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Fast and informative flow simulations in a building by using fast fluid dynamics model on graphics processing unit

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

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

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

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

ABC-SysBio–approximate Bayesian computation in Python with GPU support

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

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

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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