high performance computing on graphics processing units: hgpu.org

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Flexible Pixel Compositor for Plug-and-Play Multi-Projector Displays

Ruigang Yang, Daniel R. Rudolf, Vijai Raghunathan

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Tags: Computer science, FPGA, GPU cluster, Rendering

April 25, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Reza Farivar, Abhishek Verma, Ellick M. Chan, Roy H. Campbell

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce 9800 GX2, nVidia Quadro FX 570

April 22, 2011 by hgpu

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

Wang Lei, Zhang Yunquan, Zhang Xianyi, Liu Fangfang

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Linear Algebra, Mixed precision, nVidia, nVidia GeForce GTX 295, Tesla C1060

April 20, 2011 by hgpu

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Rached Abdelkhalek, Henri Calendra, Olivier Coulaud, Jean Roman, Guillaume Latu

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Tags: CUDA, Earth and Space Sciences, Finite difference, GPU cluster, nVidia, Seismic modeling, Seismology, Tesla S1070

April 10, 2011 by hgpu

Scalability of Higher-Order Discontinuous Galerkin FEM Computations for Solving Electromagnetic Wave Propagation Problems on GPU Clusters

Nico Godel, Nigel Nunn, Tim Warburton, Markus Clemens

Tags: CUDA, Electrodynamics, Finite element method, GPU cluster, nVidia

April 7, 2011 by hgpu

Scaling Hierarchical N-body Simulations on GPU Clusters

Pritish Jetley, Lukasz Wesolowski, Filippo Gioachin, Laxmikant V. Kale, Thomas R. Quinn

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Physics, Tesla S1070

April 7, 2011 by hgpu

Neuromorphic models on a GPGPU cluster

Bing Han, T.M. Taha

Tags: Biology, GPU cluster, MPI, Neuroscience, nVidia, Tesla S1070

April 5, 2011 by hgpu

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU

Qi Li, V. Kecman, R. Salman

Tags: Computer science, Data Structures and Algorithms, GPU cluster

March 28, 2011 by hgpu

GMH: A Message Passing Toolkit for GPU Clusters

Jie Chen, William Watson III, Weizhen Mao

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Source codes

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 285, Package

March 28, 2011 by hgpu

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

See all packages

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high performance computing on graphics processing units: hgpu.org

Flexible Pixel Compositor for Plug-and-Play Multi-Projector Displays

Optimized HPL for AMD GPU and multi-core CPU usage

MITHRA: Multiple data independent tasks on a heterogeneous resource architecture

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Scalability of Higher-Order Discontinuous Galerkin FEM Computations for Solving Electromagnetic Wave Propagation Problems on GPU Clusters

Scaling Hierarchical N-body Simulations on GPU Clusters

Neuromorphic models on a GPGPU cluster

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Evaluation Framework for GPU Performance Based on OpenCL Standard

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU

GMH: A Message Passing Toolkit for GPU Clusters

Recent source codes

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

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