high performance computing on graphics processing units: hgpu.org

James Bergstra, Olivier Breuleux, Frederic Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, Yoshua Bengio

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

December 12, 2011 by hgpu

A Common GPU n-Dimensional Array for Python and C

Frederic Bastien, Arnaud Bergeron, Pascal Vincent, Yoshua Bengio

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Python

December 12, 2011 by hgpu

Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive Robotics Research

Martin Peniak, Anthony Morse, Christopher Larcombe, Salomon Ramirez-Contla, Angelo Cangelosi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, Package, Tesla C1060

December 11, 2011 by hgpu

Generalizing Execution of Vectorizable Computations by Generating Vector Oriented Byte Code

Troels Blum

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 210 M, nVidia GeForce GTX 460, Package, Python, Thesis

December 11, 2011 by hgpu

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

Sylvain Paris, Samuel W. Hasinoff, Jan Kautz

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Tags: Algorithms, Filtering, Image processing, Optimization, Package, Wavelet

December 10, 2011 by hgpu

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

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Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 by hgpu

High Performance Multi-agent System based Simulations

Prashant Sethia

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Tags: Algorithms, Cloud, Computer science, CUDA, Distributed computing, MapReduce, nVidia, Package, Tesla T10

December 8, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Packages

A Parallel GPU Version of the Traveling Salesman Problem

A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers

A GPU-based Approximate SVD Algorithm

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Divergence Analysis with Affine Constraints

Theano: A CPU and GPU Math Compiler in Python

A Common GPU n-Dimensional Array for Python and C

Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive Robotics Research

Generalizing Execution of Vectorizable Computations by Generating Vector Oriented Byte Code

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

Playdoh: A lightweight Python library for distributed computing and optimisation

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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