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Analyzing the CUDA Applications with its Latency and Bandwidth Tolerance

V.N. Pistulkar, C.A. Uttarwar

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Tags: Computer science, CUDA, GPU cluster, nVidia, PTX, Tesla C1060

July 5, 2012 by hgpu

The Fat-Link Computation On Large GPU Clusters for Lattice QCD

Guochun Shi, Ronald Babich, Michael A. Clark, Balint Joo, Steven Gottlieb, Volodymyr Kindratenko

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Tags: Algorithms, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Physics, QCD, Tesla M2070

July 1, 2012 by hgpu

Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem

Jiri Jaros

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Source codes

Tags: Algorithms, Computer science, CUDA, Genetic programming, GPU cluster, MPI, nVidia, nVidia GeForce GTX 580, Package

June 26, 2012 by hgpu

An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem

Imen Chakroun, Nouredine Melab

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Tags: Computer science, CUDA, GPU cluster, nVidia, Optimization, Tesla S1070

June 25, 2012 by hgpu

Parallel Rendering on Hybrid Multi-GPU Clusters

S. Eilemann, A. Bilgili, M. Abdellah, J. Hernando, M. Makhinya, R. Pajarola, F. Schurmann

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Tags: 3D Graphics and Realism, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 580, OpenGL, Optimization, Rendering, Visualization

June 19, 2012 by hgpu

Fluid Dynamics Simulations on Multi-GPU Systems

Eugenio Rustico

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Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 480, Thesis

June 13, 2012 by hgpu

Range query processing in a multi-GPU environment

Ricardo J. Barrientos, Jose I. Gomez, Christian Tenllado, Manuel Prieto Matias, Mauricio Marin

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Tags: Algorithms, Biology, Computational biology, Computer science, CUDA, Databases, GPU cluster, nVidia, OpenMP, Tesla C1060

June 11, 2012 by hgpu

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

D.P.Playne, K.A. Hawick

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Tags: Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla C2070

June 6, 2012 by hgpu

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

David Clarke, Aleksandar Ilic, Alexey Lastovetsky, Leonel Sousa

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Tags: Computer science, CPU cluster, GPU cluster, Heterogeneous systems, Matrix multiplication, nVidia, Tesla C2050, Tesla T10

June 5, 2012 by hgpu

MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-Based Systems

Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Keith R. Bisset, Rajeev Thakur

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050

June 1, 2012 by hgpu

Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters

Abhinav Sarje, Jack Pien, Xiaoye S. Li, Elaine Chan, Slim Chourou, Alexander Hexemer, Arthur Scholz and Edward Kramer

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Tags: Algorithms, CUDA, GPU cluster, Monte Carlo simulation, MPI, nVidia, Optimization, Physics, Tesla C2050, Tesla M2090

May 30, 2012 by hgpu

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

Aurel A. Lazar, Yiyin Zhou

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Neural networks, nVidia, Tesla M2050

May 29, 2012 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

Analyzing the CUDA Applications with its Latency and Bandwidth Tolerance

The Fat-Link Computation On Large GPU Clusters for Lattice QCD

Multi-GPU Island-Based Genetic Algorithm for Solving the Knapsack Problem

An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem

Parallel Rendering on Hybrid Multi-GPU Clusters

Fluid Dynamics Simulations on Multi-GPU Systems

Range query processing in a multi-GPU environment

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-Based Systems

Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

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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