high performance computing on graphics processing units: hgpu.org

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Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

Jan Platos, Pavel Kromer, Vaclav Snasel, Ajith Abraham

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Tags: Computer science, CUDA, Nonnegative matrix factorization, nVidia, Security

May 12, 2011 by hgpu

A GPU-based iterated tabu search for solving the quadratic 3-dimensional assignment problem

The Van Luong, Lakhdar Loukil, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce 8600 M GT, Search

May 11, 2011 by hgpu

Fast GPU implementation of large scale dictionary and sparse representation based vision problems

Pradeep Nagesh, Rahul Gowda, Baoxin Li

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9800 GT

May 11, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Differential evolution algorithm on the GPU with C-CUDA

L.P. de Veronese, R.A. Krohling

Tags: Algorithms, Computer science, CUDA, Differential evolution, Evolutionary Computations, nVidia

May 11, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Raul Cabido, Antonio Montemayor, Juan Pantrigo

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Particle filtering, Video tracking

May 11, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

The GPU on the simulation of cellular computing models

Jose Cecilia, Jose Garcia, Gines Guerrero, Miguel Martinez-del-Amor, Mario Perez-Jimenez, Manuel Ujaldon

Tags: Computer science, Membrane computing, nVidia, P systems, SAT, Tesla S2050

May 10, 2011 by hgpu

Stock trading strategy creation using GP on GPU

Dave McKenney, Tony White

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Tags: Computer science, CUDA, Genetic programming, nVidia

May 10, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 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

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

A GPU-based iterated tabu search for solving the quadratic 3-dimensional assignment problem

Fast GPU implementation of large scale dictionary and sparse representation based vision problems

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Differential evolution algorithm on the GPU with C-CUDA

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

The GPU on the simulation of cellular computing models

Stock trading strategy creation using GP on GPU

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

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

Most viewed papers (last 30 days)