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Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Dominik Szalkowski, Przemyslaw Stpiczynski

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla M2050

October 1, 2013 by hgpu

Exploring Programming Multi-GPUs using OpenMP & OpenACC-based Hybrid Model

Rengan Xu, Sunita Chandrasekaran, Barbara Chapman

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Tags: Computer science, Heterogeneous systems, nVidia, OpenACC, OpenMP, Tesla C2075

September 30, 2013 by hgpu

Compiling a High-level Directive-Based Programming Model for GPGPUs

Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara Chapman

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Tags: Benchmarking, Computer science, nVidia, OpenACC, Tesla K20

September 30, 2013 by hgpu

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

August Andren, Patrik Hagernas

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenACC, Tesla C2050, Tesla M2090

September 30, 2013 by hgpu

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Isaiah Hull

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 560 Ti, Stochastic simulation

September 30, 2013 by hgpu

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Gyorgy Tegze, Gyula I. Toth

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Tags: ATI, ATI Radeon HD 7970, Fluid dynamics, GPU cluster, Mathematics, MPI, Numerical Analysis, Numerical simulation, nVidia, nVidia GeForce GTX 680, OpenCL

September 30, 2013 by hgpu

Adapting data processing methods to modern GPU architecture

Bartlomiej Szczepaniak

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Wavelet

September 29, 2013 by hgpu

Separate Compilation in a Language-Integrated Heterogeneous Environment

Mike Murphy, Jaydeep Marathe, Girish Bharambe, Sean Lee, Vinod Grover

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia

September 29, 2013 by hgpu

Evaluation of disconnected quark loops for hadron structure using GPUs

C. Alexandrou, M. Constantinou, V. Drach, K. Hadjiyiannakou, K. Jansen, G. Koutsou, A. Strelchenko, A. Vaquero

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Tags: CUDA, High Energy Physics - Lattice, Nuclear Theory, nVidia, Physics, Tesla M2070

September 29, 2013 by hgpu

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Oliver Demetz, David Hafner, Joachim Weickert

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Tags: Computer science, Computer vision, CUDA, Mathematics, nVidia, nVidia GeForce GTX 460

September 29, 2013 by hgpu

Optimizing Urban Environmental Simulations using Boinc

Aditya Vegesna

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Tags: Computer science, CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 645, Thesis

September 29, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

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Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Exploring Programming Multi-GPUs using OpenMP & OpenACC-based Hybrid Model

Compiling a High-level Directive-Based Programming Model for GPGPUs

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

A GPU cluster optimized multigrid scheme for computing unsteady incompressible fluid flow

Adapting data processing methods to modern GPU architecture

Separate Compilation in a Language-Integrated Heterogeneous Environment

Evaluation of disconnected quark loops for hadron structure using GPUs

The Complete Rank Transform: A Tool for Accurate and Morphologically Invariant Matching of Structures

Optimizing Urban Environmental Simulations using Boinc

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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