high performance computing on graphics processing units: hgpu.org

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Mastering Software Variant Explosion for GPU Accelerators

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

September 8, 2012 by hgpu

OpenACC Implementations Comparison

Ivan Lopez-Rodriguez

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050

September 8, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 by hgpu

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

Ahmed Shamsul Arefin, Carlos Riveros, Regina Berretta, Pablo Moscato

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Tags: Bioinformatics, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Package, Pattern recognition, Tesla C2050

September 5, 2012 by hgpu

GPU-accelerated WZ Factorization with the Use of the CUBLAS Library

Beata Bylina, Jaroslaw Bylina

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Tags: Computer science, CUBLAS, CUDA, Factorization, nVidia, Tesla C2050

September 3, 2012 by hgpu

A Portable High-Productivity Approach to Program Heterogeneous Systems

Zeki Bozkus, Basilio B. Fraguela

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Tesla C2070

September 1, 2012 by hgpu

GAROP: Genetic Algorithm framework for Running On Parallel environments

Tomoyuki Hiroyasu, Ryosuke Yamanaka, Masato Yoshimi, Mitsunori Miki

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Tesla C2050

September 1, 2012 by hgpu

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Wei Jiang

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Tags: Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, MapReduce, MPI, nVidia, Tesla C2050, Thesis

September 1, 2012 by hgpu

The multi-GPU System with ExpEther

Shimpei Nomura, Tetsuya Nakahama, Junichi Higuchi, Jun Suzuki, Takashi Yoshikawa, Hideharu Amano

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

August 30, 2012 by hgpu

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

Designing a Unified Programming Model for Heterogeneous Machines

Michael Garland, Manjunath Kudlur, Yili Zheng

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2050, Tesla X2090

August 26, 2012 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Mastering Software Variant Explosion for GPU Accelerators

OpenACC Implementations Comparison

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs

GPU-accelerated WZ Factorization with the Use of the CUBLAS Library

A Portable High-Productivity Approach to Program Heterogeneous Systems

GAROP: Genetic Algorithm framework for Running On Parallel environments

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

The multi-GPU System with ExpEther

GPUVerify: A Verifier for GPU Kernels

Designing a Unified Programming Model for Heterogeneous Machines

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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