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GPUVerify: A Verifier for GPU Kernels

Adam Betts, Nathan Chong, Alastair F. Donaldson, Shaz Qadeer, Paul Thomson

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Tags: ARM, ATI, ATI Radeon HD 7970, Code generation, Computer science, CUDA, nVidia, OpenCL, Package, Performance, Tesla C2050

August 28, 2012 by hgpu

A Research of MapReduce with GPU Acceleration

Miao Xin, Hao Li, Joan Lu

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Tags: ATI, ATI Radeon HD 5450, Computer science, Distributed computing, Heterogeneous systems, MapReduce, OpenCL

August 28, 2012 by hgpu

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Yi Yang, Ping Xiang, Jingfei Kong, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Programming Languages

August 27, 2012 by hgpu

Perceptually Optimized Real-Time Computer Graphics

Jeffrey Smith

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, OpenCL, Optimization, Raytracing, Thesis

August 27, 2012 by hgpu

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Vladislav Kovtun, Andrew Okhrimenko

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Tags: Algorithms, AMD FireStream 9370, ATI, Computational Complexity, Computer science, nVidia, OpenCL, OpenMP, Security, Tesla M2090

August 22, 2012 by hgpu

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Yi Yang, Ping Xiang, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Performance

August 21, 2012 by hgpu

Parallelization of KMP String Matching Algorithm on Different SIMD architectures: Multi-Core and GPGPU’s

Akhtar Rasool, Nilay Khare

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Tags: Algorithms, ATI, Computer science, OpenCL, Pattern recognition, String matching

August 4, 2012 by hgpu

GPU-Accelerated Non-negative Matrix Factorization for Text Mining

Volodymyr Kysenko, Karl Rupp, Oleksandr Marchenko, Siegfried Selberherr, Anatoly Anisimov

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Factorization, Nonnegative matrix factorization, nVidia, nVidia GeForce GTX 470, OpenCL, Text mining

August 1, 2012 by hgpu

MCMini: Monte Carlo on GPGPU

Ryan Marcus

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Tags: ATI, ATI Radeon HD 5870, Monte Carlo simulation, nVidia, OpenCL, Physics, Tesla C2070

July 31, 2012 by hgpu

GPU-Accelerated Point-Based Color Bleeding

Ryan Daniel Schmitt

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Tags: Algorithms, ATI, ATI Radeon HD 5970, Computer science, Heterogeneous systems, OpenGL, Rasterization, Thesis

July 20, 2012 by hgpu

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

William H. Dillon (William Hall)

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Tags: ATI, ATI Radeon HD 4870, Computer science, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

July 16, 2012 by hgpu

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Kazuya Matsumoto, Naohito Nakasato, Stanislav G. Sedukhin

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Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, Matrix multiplication, OpenCL

July 15, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPUVerify: A Verifier for GPU Kernels

A Research of MapReduce with GPU Acceleration

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Perceptually Optimized Real-Time Computer Graphics

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Fixing Performance Bugs: An Empirical Study of Open-Source GPGPU Programs

Parallelization of KMP String Matching Algorithm on Different SIMD architectures: Multi-Core and GPGPU’s

GPU-Accelerated Non-negative Matrix Factorization for Text Mining

MCMini: Monte Carlo on GPGPU

GPU-Accelerated Point-Based Color Bleeding

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

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

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