high performance computing on graphics processing units: hgpu.org

James Bergstra, Frederic Bastien, Olivier Breuleux, Pascal Lamblin, Razvan Pascanu, Olivier Delalleau, Guillaume Desjardins, David Warde-Farley, Ian Goodfellow, Arnaud Bergeron, Yoshua Bengio

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package, Python

January 16, 2012 by hgpu

Scientific Computing with Python on GPUs

Stefan Reiterer

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Tags: Algorithms, Computer science, CUDA, nVidia, Python, Tutorial

January 13, 2012 by hgpu

Implementation of Virtual Embryology using the Thrust library for CUDA

Anna Aichmayr Markus Dauschan

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Tags: Biology, CUDA, Neural networks, nVidia, Python

January 13, 2012 by hgpu

CodePy

Martin Kempf

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Tags: Code generation, Computer science, CUDA, nVidia, Package, Python

January 6, 2012 by hgpu

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Ekaterina Gonina

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Tags: Acoustics, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Python, Thesis

December 31, 2011 by hgpu

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

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

accULL: An User-directed Approach to Heterogeneous Programming

Scaling CUDA for Distributed Heterogeneous Processors

A stand-alone Finite Difference Time Domain (FDTD) simulation for Integrated Optoelectronics Laboratory

Parakeet: A Just-In-Time Parallel Accelerator for Python

PyCOOL – a Cosmological Object-Oriented Lattice code written in Python

Combining approximate inference methods for efficient learning on large computer clusters

Theano: Deep Learning on GPUs with Python

Scientific Computing with Python on GPUs

Implementation of Virtual Embryology using the Thrust library for CUDA

CodePy

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Recent source codes

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

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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