high performance computing on graphics processing units: hgpu.org

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Ray-Traced Collision Detection: Interpenetration Control and Multi-GPU Performance

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing

December 16, 2013 by hgpu

Real time Multi-GPU-based Event Detection in High Definition Videos

Sidi Ahmed Mahmoudi, Pierre Manneback

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580

December 15, 2013 by hgpu

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

Mohammadhossein Afrasiabi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Rendering, Sensing, Software Engineering, Thesis

December 13, 2013 by hgpu

High Performance Poisson Equation Solver for Hybrid CPU/GPU Systems

Stoyan Markov, Peicho Petkov, Damyan Grancharov, Georgi Georgiev

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Tags: Computer science, Electrostatics, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 580, Poisson equation

December 11, 2013 by hgpu

A GPU-based Multiresolution Pipeline for Compressed Volume Rendering

Julian Lamas-Rodriguez, Francisco Arguello, Dora B. Heras

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering, Visualization

December 8, 2013 by hgpu

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Raymond Flagg, Jason Monk, Yifeng Zhu, Bruce Segee

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

December 4, 2013 by hgpu

Comparative Study of High Performance Computing Using Multi-core Parallel Systems

Hyo Jong Lee, Hyeon Kyu Kim

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti, nVidia GeForce GTX 580, Performance

December 4, 2013 by hgpu

SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign

Joo Hwan Lee, Jiayuan Meng, Hyesoon Kim

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GTX 580, Performance

December 3, 2013 by hgpu

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Ye Fang, Sheng Feng, Ka-Ming Tam, Zhifeng Yun, Juana Moreno, J. Ramanujam, Mark Jarrell

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics

November 25, 2013 by hgpu

Performance and Power Comparisons Between Fermi and Cypress GPUs

Ying Zhang

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Thesis

November 18, 2013 by hgpu

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Dongjin Kim, Kyu-Ho Park

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix decomposition, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

November 8, 2013 by hgpu

Datalog for GPUs

Carlos Alberto Martinez Angeles

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Tags: Computer science, CUDA, Databases, High-level Languages, nVidia, nVidia GeForce GTX 580, Thesis

November 3, 2013 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

Ray-Traced Collision Detection: Interpenetration Control and Multi-GPU Performance

Real time Multi-GPU-based Event Detection in High Definition Videos

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

High Performance Poisson Equation Solver for Hybrid CPU/GPU Systems

A GPU-based Multiresolution Pipeline for Compressed Volume Rendering

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Comparative Study of High Performance Computing Using Multi-core Parallel Systems

SESH framework: A Space Exploration Framework for GPU Application and Hardware Codesign

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Performance and Power Comparisons Between Fermi and Cypress GPUs

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Datalog for GPUs

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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