high performance computing on graphics processing units: hgpu.org

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Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C1060

December 25, 2010 by hgpu

Sketching MLS Image Deformations On the GPU

Yanlin Weng, Xiaohan Shi, Hujun Bao, Jun Zhang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

December 25, 2010 by hgpu

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

Ojaswa Sharma, Qin Zhang, Francois Anton, Chandrajit Bajaj

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Tags: Computer vision, CUDA, Image processing, nVidia, Tesla C870

December 25, 2010 by hgpu

A fast high quality pseudo random number generator for nVidia CUDA

William B. Langdon

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Source codes

Tags: Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla T10

December 25, 2010 by hgpu

Fast acoustic computations using graphics processors

Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui

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Tags: CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing, Speech recognition

December 25, 2010 by hgpu

Multi-GPU volume rendering using MapReduce

Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John D. Owens

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Tags: Computer science, CUDA, GPU cluster, MapReduce, nVidia, Rendering, Tesla C1090

December 25, 2010 by hgpu

Ray Casting Deformable Models on the GPU

Suryakant Patidar, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Rendering

December 24, 2010 by hgpu

Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture

Gustavo Poli, Jose Hiroki Saito, Joao F. Mari, Marcelo R. Zorza

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Tags: CUDA, Image processing, Image recognition, Neural networks, nVidia, nVidia GeForce 8800 GTX, Video tracking

December 24, 2010 by hgpu

A high-speed multi-GPU implementation of bottom-up attention using CUDA

Tingting Xu, Thomas Pototschnig, Kolja Kuhnlenz, Martin Buss

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

December 24, 2010 by hgpu

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Frederico Pratas, Pedro Trancoso, Alexandros Stama

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Tags: Cell processor, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Performance, Programming techniques

December 24, 2010 by hgpu

Parallel hybrid evolutionary algorithms on GPU

The Van Luong, Nouredine Melab, El-Ghazali Talbi

Tags: Computer science, CUDA, Data mining, Metaheuristics, nVidia, nVidia GeForce GTX 280

December 23, 2010 by hgpu

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Aaron Hagan, Ye Zhao

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Tags: CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce 8800 GTX

December 23, 2010 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

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Sketching MLS Image Deformations On the GPU

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

A fast high quality pseudo random number generator for nVidia CUDA

Fast acoustic computations using graphics processors

Multi-GPU volume rendering using MapReduce

Ray Casting Deformable Models on the GPU

Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture

A high-speed multi-GPU implementation of bottom-up attention using CUDA

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Parallel hybrid evolutionary algorithms on GPU

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

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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