high performance computing on graphics processing units: hgpu.org

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GPGPU-BASED Cortical Modeling

Theodore Hilk

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Tags: Algorithms, ATI, ATI Radeon HD 6870, ATI Radeon HD 7970, Image processing, OpenCL, PyOpenCL, Python

January 11, 2013 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

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

G-SNPM – A GPU-based SNP mapping tool

Alessandro Orro, Andrea Manconi, Emanuele Manca, Giuliano Armano, Luciano Milanesi

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, nVidia GeForce GTX 480, Package, Python, Smith-Waterman algorithm

November 14, 2012 by hgpu

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

Cyrus Harrison, Paul Navratil, Maysam Moussalem, Ming Jiang, Hank Childs

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Tags: Computer science, nVidia, OpenCL, Python, Tesla M2050, Visualization

November 10, 2012 by hgpu

GPU Virtualization

Kristoffer Robin Stokke

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 295, Package, Python, Thesis, Virtualization

November 7, 2012 by hgpu

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, Brian Vinter

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Tags: Computer science, OpenCL, Optimization, Package, Programming Languages, Python

November 5, 2012 by hgpu

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

David Sheffield, Michael Anderson, Kurt Keutzer

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Tags: Computer science, Design space exploration, FPGA, Package, Python

October 25, 2012 by hgpu

Simulating spiking neural networks on GPU

Romain Brett

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580, Package, Python, Review

September 19, 2012 by hgpu

Computational Modelling of Galaxy Formation using FLAME GPU

Laurence William James

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Tags: Astrophysics, Computational modelling, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 285, Package, Physics, Python, Thesis

September 4, 2012 by hgpu

Is OpenCL a suitable platform for algorithm development in health care systems?

Mattias Larsson

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Tags: Algorithms, Medicine, nVidia, nVidia GeForce GTX 470, nVidia Quadro FX 1800, OpenCL, Python, Thesis

August 26, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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high performance computing on graphics processing units: hgpu.org

GPGPU-BASED Cortical Modeling

Multi-level Debugging for Multi-stage, Parallelizing Compilers

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

PyFAI, a versatile library for azimuthal regrouping

G-SNPM – A GPU-based SNP mapping tool

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

GPU Virtualization

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

Simulating spiking neural networks on GPU

Computational Modelling of Galaxy Formation using FLAME GPU

Is OpenCL a suitable platform for algorithm development in health care systems?

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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