high performance computing on graphics processing units: hgpu.org

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Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

Visualizing Complex Functions Using GPUs

Khaldoon Ghanem

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Tags: Computer science, GLSL, OpenGL, Package, Visualization

December 14, 2012 by hgpu

Towards Domain-specific Computing for Stencil Codes in HPC

Richard Membarth, Frank Hannig, Jurgen Teich, Harald Kostler

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Tags: Algorithms, Code generation, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

December 12, 2012 by hgpu

Multi-level Debugging for Multi-stage, Parallelizing Compilers

Richard Xia, Tayfun Elmas, Shoaib Ashraf Kamil, Armando Fox, Koushik Sen

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Tags: Compilers, Computer science, CUDA, nVidia, Package, Python

December 12, 2012 by hgpu

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Vitaly Zakharenko

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Tags: AMD Fusion, Analytical model, Benchmarking, Computer science, Package, Performance, Thesis

December 4, 2012 by hgpu

Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications

Chris Hathhorn, Michela Becchi, William L. Harrison, Adam Procter

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Package, Programming Languages

November 28, 2012 by hgpu

Softshell: Dynamic Scheduling on GPUs

Markus Steinberger, Bernhard Kainz, Bernhard Kerbl, Stefan Hauswiesner, Michael Kenzel, Dieter Schmalstieg

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Package, Task scheduling

November 27, 2012 by hgpu

A compiler toolkit for array-based languages targeting CPU/GPU hybrid systems

Rahul Garg, Laurie Hendren

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Code generation, Compilers, Computer science, OpenCL, Package, Python, Tesla C2050

November 26, 2012 by hgpu

PyFAI, a versatile library for azimuthal regrouping

Jerome Kieffer, Dimitrios Karkoulis

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Tags: ATI, ATI FirePro V7800, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Python, Tesla C2075

November 25, 2012 by hgpu

Efficient reconstruction of biological networks via transitive reduction on general purpose graphics processors

Dragan Bosnacki, Maximilian R Odenbrett, Anton Wijs, Willem Ligtenberg, Peter Hilbers

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 480, Package

November 23, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

Auto-tunable GPU BLAS (thesis)

Geir Josten Lien

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla C2050, Thesis

November 18, 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

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Visualizing Complex Functions Using GPUs

Towards Domain-specific Computing for Stencil Codes in HPC

Multi-level Debugging for Multi-stage, Parallelizing Compilers

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications

Softshell: Dynamic Scheduling on GPUs

A compiler toolkit for array-based languages targeting CPU/GPU hybrid systems

PyFAI, a versatile library for azimuthal regrouping

Efficient reconstruction of biological networks via transitive reduction on general purpose graphics processors

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Auto-tunable GPU BLAS (thesis)

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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