high performance computing on graphics processing units: hgpu.org

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A real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display

Fabio Marton, Enrico Gobbetti, Fabio Bettio, Jose Antonio Iglesias Guitian, Ruggero Pintus

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering, Stereo vision

June 26, 2011 by hgpu

Real-time 3D reconstruction for mobile robot using catadioptric cameras

Romain Rossi, Xavier Savatier, Jean-Yves Ertaud, Belahcene Mazari

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS

June 25, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders

Ngai-Man Cheung, Oscar C. Au, Man-Cheung Kung, Xiaopeng Fan

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Tags: Cg, Compression, H.264/AVC, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL, Video decoding

June 8, 2011 by hgpu

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Andrew Janowczyk, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Particle filtering, Pseudo-random number generators

June 7, 2011 by hgpu

GPU acceleration of a fully 3D Iterative Reconstruction Software for PET using CUDA

J. L. Herraiz, S. Espana, S. Garcia, R. Cabido, A. S. Montemayor, M. Desco, J. J. Vaquero, J. M. Udias

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Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce FX 5600, nVidia GeForce GT 120, nVidia GeForce GTX 260, PET, Tomography

May 19, 2011 by hgpu

GPU-accelerated computation for robust motion tracking using the CUDA framework

Jing Huang, Sean P. Ponce, Seung In Park, Yong Cao, Francis Quek

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, Video tracking

May 9, 2011 by hgpu

Parallel grid-based recursive Bayesian estimation using GPU for real-time autonomous navigation

Tomonari Furukawa, Benjamin Lavis, Hugh F. Durrant-Whyte

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Tags: Bayesian, Computer science, nVidia, nVidia GeForce 8800 GTS

May 3, 2011 by hgpu

Accelerated multi-view stereo using parallel processing capababilities of the GPUS

O. Moslah, A. Valles-Such, V. Guitteny, S. Couvet, S. Philipp-Foliguet

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Tags: 3D Graphics and Realism, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL

April 18, 2011 by hgpu

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

R. Suda, Da Qi Ren

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS

April 16, 2011 by hgpu

A high-performance fault-tolerant software framework for memory on commodity GPUs

Naoya Maruyama, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, CUDA, Fault simulation, FFT, Matrix multiplication, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, Tesla S1070

April 14, 2011 by hgpu

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 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

A real-time coarse-to-fine multiview capture system for all-in-focus rendering on a light-field display

Real-time 3D reconstruction for mobile robot using catadioptric cameras

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Parallel rate-distortion optimized intra mode decision on multi-core graphics processors using greedy-based encoding orders

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

GPU acceleration of a fully 3D Iterative Reconstruction Software for PET using CUDA

GPU-accelerated computation for robust motion tracking using the CUDA framework

Parallel grid-based recursive Bayesian estimation using GPU for real-time autonomous navigation

Accelerated multi-view stereo using parallel processing capababilities of the GPUS

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

A high-performance fault-tolerant software framework for memory on commodity GPUs

Hardware-Efficient Belief Propagation

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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