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

BarraCUDA – a fast short read sequence aligner using graphics processing units

Petr Klus, Simon Lam, Dag Lyberg, Ming Sin Cheung, Graham Pullan, Ian McFarlane, Giles S. H. Yeo, Brian Y. H. Lam

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Sequence alignment, Tesla M2050, Tesla M2090

January 13, 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

Packages

CUDA raytracing algorithm for visualizing discrete element model output

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

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

CUDA Based Polyphase Filter

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Accelerated Large-Scale Multiple Sequence Alignment

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Programming on Parallel Machines: GPU, Multicore, Clusters and More

A Modular System Architecture for Online Parallel Vision Pipelines

Theano: Deep Learning on GPUs with Python

BarraCUDA – a fast short read sequence aligner using graphics processing units

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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