high performance computing on graphics processing units: hgpu.org

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Data Sorting Using Graphics Processing Units

Marko J. Misic, Milo V. Tomasevic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Sorting

September 13, 2012 by hgpu

Parallel Neural Network Training with OpenCL

Nenad Krpan, Domagoj Jakobovic

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Tags: Algorithms, Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTS 250, OpenCL, Optimization

June 23, 2012 by hgpu

Parallelization of calculations using GPU in optimization approach for macromodels construction

Petro Stakhiv, Iryna Strubytska, Yuriy Kozak

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTS 250, Optimization

May 7, 2012 by hgpu

A GPU-Based Accelerator for Chinese Word Segmentation

Xiwu Gu, Ruixuan Li, Kunmei Wen, Bei Peng, Weijun Xiao

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Text mining

April 9, 2012 by hgpu

Accelerated People Tracking Using Texture in a Camera Network

Wasit Limprasert, Andrew Wallace, Greg Michaelson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 250

February 14, 2012 by hgpu

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

V. Krishna Reddy, L.S.S. Reddy

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTS 250, Optimization

February 5, 2012 by hgpu

CUDA Expression Templates

Paul Wiemann, Stephan Wenger, Marcus Magnor

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTS 250, Package

January 30, 2012 by hgpu

Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems

Johan Enmyren, Usman Dastgeer, Christoph W. Kessler

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Tags: Code generation, Computer science, CUDA, Data parallelism, MapReduce, nVidia, nVidia GeForce GTS 250, OpenCL, Performance, Tesla C1060

January 30, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

OpenCL Sparse Linear Solver for Circuit Simulation

Jason Mak, Matthew Guthaus

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Tags: Algorithms, Computer science, Electronic design automation, nVidia, nVidia GeForce GTS 250, OpenCL

January 3, 2012 by hgpu

Hardware-Assisted High-Efficiency Ray Casting of Unstructured Time-Varying Flows Using Temporal Coherence

Qianli Ma, Liang Zeng, Huaxun Xu, Wenke Wang, Sikun Li

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Tags: Algorithms, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTS 250, Rendering

December 31, 2011 by hgpu

Power Flow Analysis on CUDA-based GPU

Yizheng Liao

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTS 250, Power Systems Simulation, Thesis

November 5, 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

Data Sorting Using Graphics Processing Units

Parallel Neural Network Training with OpenCL

Parallelization of calculations using GPU in optimization approach for macromodels construction

A GPU-Based Accelerator for Chinese Word Segmentation

Accelerated People Tracking Using Texture in a Camera Network

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

CUDA Expression Templates

Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

OpenCL Sparse Linear Solver for Circuit Simulation

Hardware-Assisted High-Efficiency Ray Casting of Unstructured Time-Varying Flows Using Temporal Coherence

Power Flow Analysis on CUDA-based GPU

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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