high performance computing on graphics processing units: hgpu.org

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Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Optical flow, Video tracking

April 27, 2011 by hgpu

GPU accelerated fast FEM deformation simulation

Youquan Liu, Shaohui Jiao, Wen Wu, Suvranu De

Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 25, 2011 by hgpu

GPU-Based Background Illumination Correction for Blue Screen Matting

Nicolas Ley, Christian Weigel, M. Mehnert

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Tags: Algorithms, ATI, ATI Radeon X1900, Image processing, nVidia, nVidia GeForce 6600 GT, nVidia GeForce 8800 GTX, OpenGL

April 25, 2011 by hgpu

Calculation of weight vectors for wideband beamforming using Graphics Processing Units

Jason D. Bonior, Zhen Hu, Robert C. Qiu, Mike Renfro, Nan Guo

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Tags: Computational Engineering, CUDA, Electrodynamics, nVidia, nVidia GeForce 8800 GTX, Tesla C1060

April 25, 2011 by hgpu

High-Speed Private Information Retrieval Computation on GPU

Carlos Aguilar Melchor, Benoit Crespin, Philippe Gaborit, Vincent Jolivet, Pierre Rousseau

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Source codes

Tags: Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, Package

April 22, 2011 by hgpu

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, Performance, Warp level parallelism

April 19, 2011 by hgpu

Accelerating System-Level Design Tasks Using Commodity Graphics Hardware: A Case Study

Unmesh D. Bordoloi, Samarjit Chakraborty

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Tags: Cg, Computer science, Design space exploration, Electronic design automation, nVidia, nVidia GeForce 8800 GTX, OpenGL

April 12, 2011 by hgpu

A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation

Tsuyoshi Hamada, Khaled Benkrid, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, Cosmology, FPGA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2, Physics

April 8, 2011 by hgpu

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Ping Yao, Hong An, Mu Xu, Gu Liu, Xiaoqiang Li, Yaobin Wang, Wenting Han

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Pattern Search

March 29, 2011 by hgpu

Gvim: Gpu-accelerated virtual machines

Vishakha Gupta, Ada Gavrilovska, K. Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX, Virtualization

March 23, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Error-bounded GPU-supported terrain visualisation

Falko Loffler, S. Rybacki, H. Schumann

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Visualization

March 21, 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

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

GPU accelerated fast FEM deformation simulation

GPU-Based Background Illumination Correction for Blue Screen Matting

Calculation of weight vectors for wideband beamforming using Graphics Processing Units

High-Speed Private Information Retrieval Computation on GPU

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Accelerating System-Level Design Tasks Using Commodity Graphics Hardware: A Case Study

A Comparative Study on ASIC, FPGAs, GPUs and General Purpose Processors in the O(N^2) Gravitational N-body Simulation

CuHMMer: A load-balanced CPU-GPU cooperative bioinformatics application

Gvim: Gpu-accelerated virtual machines

Aspects of GPU for general purpose high performance computing

Error-bounded GPU-supported terrain visualisation

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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