high performance computing on graphics processing units: hgpu.org

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A GPU-accelerated Boundary Element Method and Vortex Particle Method

Mark J. Stock, Adrin Gharakhani

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 275, Tesla S1070

June 3, 2011 by hgpu

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 2011 by hgpu

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Fukang Yin, Fengshun Lu, Xiaoqun Cao, Junqiang Song

Tags: Computational modelling, Computer science, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 480, Weather prediction

June 1, 2011 by hgpu

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Laszlo Szirmay-Kalos, Gabor Liktor, Tamas Umenhoffer, Balazs Toth, Shree Kumar, Glenn Lupton

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Tags: CUDA, GPU cluster, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

May 31, 2011 by hgpu

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

Astrophysical Particle Simulations with Custom GPU Clusters

R. Spurzem, P. Berczik, K. Nitadori, G. Marcus, A. Kugel, R. Manner, I. Berentzen, R. Klessen, R. Banerjee

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1070, Tesla C870

May 19, 2011 by hgpu

High dimensional pricing of exotic European contracts on a GPU Cluster, and comparison to a CPU cluster

Lokman A. Abbas-Turki, Stephane Vialle, Bernard Lapeyre, Patrick Mercier

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Tags: CUDA, Finance, GPU cluster, nVidia, nVidia GeForce 8800 GT, OpenMP

May 15, 2011 by hgpu

Astrophysical particle simulations with large custom GPU clusters on three continents

R. Spurzem, P. Berczik, I. Berentzen, K. Nitadori, T. Hamada, G. Marcus, A. Kugel, R. Männer, J. Fiestas, R. Banerjee, R. Klessen

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1060, Tesla C2050

May 10, 2011 by hgpu

Large-scale multi-dimensional document clustering on GPU clusters

Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas Potok

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Tags: Computer science, CUDA, Data Structures and Algorithms, GPU cluster, MPI, nVidia, nVidia GeForce GTX 280

May 6, 2011 by hgpu

Acceleration of large-scale FDTD simulations on high performance GPU clusters

C. Ong, M. Weldon, D. Cyca, M. Okoniewski

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Tags: Electrodynamics, FDTD, Finite-difference time-domain, GPU cluster, nVidia, Tesla S870

May 3, 2011 by hgpu

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Mike Showerman, Jeremy Enos, Craig Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu

Tags: Computer science, CUDA, Energy-efficient computing, GPU cluster, nVidia

April 30, 2011 by hgpu

Accelerating DNA analysis applications on GPU clusters

A. Tumeo, O. Villa

Tags: Bioinformatics, Biology, GPU cluster, MPI, nVidia, Tesla C1060

April 28, 2011 by hgpu

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A GPU-accelerated Boundary Element Method and Vortex Particle Method

Spherical harmonic transform on heterogeneous architectures using hybrid programming

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Astrophysical Particle Simulations with Custom GPU Clusters

High dimensional pricing of exotic European contracts on a GPU Cluster, and comparison to a CPU cluster

Astrophysical particle simulations with large custom GPU clusters on three continents

Large-scale multi-dimensional document clustering on GPU clusters

Acceleration of large-scale FDTD simulations on high performance GPU clusters

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Accelerating DNA analysis applications on GPU clusters

Recent source codes

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

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