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An Open-Source GPU-Accelerated Feature Extraction Tool

Josef Michalek, Jan Vanek

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 660, OpenCL, Speech recognition

December 1, 2014 by hgpu

High-accuracy Optimization by Parallel Iterative Discrete Approximation and Multi-GPU Computing

Di Zhao

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Tags: Biology, Computational biology, Computational finance, CUDA, Finance, nVidia, nVidia GeForce GTX 660, Thesis

November 13, 2014 by hgpu

High-accuracy Optimization by Parallel Iterative Discrete Approximation and GPU Cluster Computing

Di Zhao

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Machine learning, MPI, nVidia, nVidia GeForce GTX 660

September 16, 2014 by hgpu

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

Mehran Maghoumi

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Tags: Computer science, Computer vision, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 660, Package, Thesis

August 9, 2014 by hgpu

C and CUDA Implementation for SIRT and SART Reconstruction Algorithms

Shan He

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce GTX 660, Thesis

June 26, 2014 by hgpu

Parallel track reconstruction in CMS using the cellular automaton approach

D. Funke, T. Hauth, V. Innocente, G. Quast, P. Sanders, D. Schieferdecker

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Tags: Cellular automata, Data acquisition, nVidia, nVidia GeForce GTX 660, OpenCL, Physics

June 19, 2014 by hgpu

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

D. Akgün, Ü. Sakoğlu, M. Mete, J. Esquivel, B. Adinoff

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Tags: Biology, Magnetic resonance imaging, Medicine, MRI, Neuroscience, nVidia, nVidia GeForce GTX 660, OpenCL

June 9, 2014 by hgpu

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

Filip Jeremic, Sanzheng Qiao

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 660

May 26, 2014 by hgpu

Paralleizing AwSpPCA for robust facial recognition using CUDA

Syed Amer Zawad

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Thesis

May 18, 2014 by hgpu

Parallel Optical Flow Detection Using CUDA

Khalid Hossen, Hasan Mahmud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Optical flow, Thesis

May 18, 2014 by hgpu

A Study of the Parallelization of Hybrid SAT Solver using CUDA

Taeill Yoo, Sangpil Kim, Yongjin Yeom, Jusung Kang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660, SAT, Security

May 10, 2014 by hgpu

Coalition Structure Generation with the Graphics Processing Unit

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali Ramchurn, Tomasz P. Michalak, Talal Rahwan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Package, Performance

May 3, 2014 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

An Open-Source GPU-Accelerated Feature Extraction Tool

High-accuracy Optimization by Parallel Iterative Discrete Approximation and Multi-GPU Computing

High-accuracy Optimization by Parallel Iterative Discrete Approximation and GPU Cluster Computing

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA

C and CUDA Implementation for SIRT and SART Reconstruction Algorithms

Parallel track reconstruction in CMS using the cellular automaton approach

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

A Parallel Jacobi-Type Lattice Basis Reduction Algorithm

Paralleizing AwSpPCA for robust facial recognition using CUDA

Parallel Optical Flow Detection Using CUDA

A Study of the Parallelization of Hybrid SAT Solver using CUDA

Coalition Structure Generation with the Graphics Processing Unit

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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