high performance computing on graphics processing units: hgpu.org

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Native Offload of Haskell Repa Programs to GPGPU

H. Liu, L.E. Day, N. Glew, T.A. Anderson, R. Barik

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Tags: Heterogeneous systems, Intel HD 4600, OpenCL, Parallelization, Programming techniques

June 8, 2014 by hgpu

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Kazuya Tani, Daisuke Takafuji, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Programming techniques

May 31, 2014 by hgpu

Automatic Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

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Tags: Computer science, CUDA, nVidia, OpenCL, Programming techniques

May 26, 2014 by hgpu

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Ana M. Mihut, Graham Morgan, Marcus Kaiser

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Tags: Biology, CUDA, GLSL, Neuroscience, nVidia, nVidia GeForce GTX 460, nVidia Quadro 600, OpenGL, Programming techniques, Tesla K20

May 24, 2014 by hgpu

A Tool for Interactive Parallelization

Ritu Arora, Julio Olaya, Madhav Gupta

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Tags: Computer science, CUDA, MPI, nVidia, Programming techniques

May 21, 2014 by hgpu

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

David Klemish

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Particle filtering, Programming techniques, Thesis, Thrust

May 21, 2014 by hgpu

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Ethel Bardsley, Alastair F. Donaldson, John Wickerson

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Tags: Computer science, OpenCL, Programming techniques

April 30, 2014 by hgpu

Performance-aware component composition for GPU-based systems

Usman Dastgeer

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 by hgpu

Dynamic Instrumentation and Optimization for GPU Applications

Naila Farooqui, Christopher J. Rossbach, Yuan Yu

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla M2075

April 16, 2014 by hgpu

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

N. Tuck

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Tags: AMD, ATI Radeon 5830, High-level Languages, nVidia, nVidia GeForce GTX 650 Ti, OpenCL, Programming techniques, Thesis

March 28, 2014 by hgpu

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

Dachuan Sun

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GT 520, Programming techniques, Thesis

December 29, 2013 by hgpu

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

Yasuaki Ito, Koji Nakano

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Programming techniques

December 15, 2013 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Native Offload of Haskell Repa Programs to GPGPU

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Automatic Termination Analysis for GPU Kernels

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

A Tool for Interactive Parallelization

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Performance-aware component composition for GPU-based systems

Dynamic Instrumentation and Optimization for GPU Applications

Implementation of Just In Time Value Specialization for the Optimization of Data Parallel Kernels

GPU-Based Acceleration on ACEnet for FDTD Method of Electromagnetic Field Analysis

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

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