high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

High-quality Real-time Stereo using Adaptive Cost Aggregation and Dynamic Programming

Liang Wang, Miao Liao, Minglun Gong, Ruigang Yang, David Nister

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Tags: Algorithms, ATI, ATI Radeon X1800, Computer science, Computer vision

March 21, 2011 by hgpu

Stereovision On GPU

Ruigang Yang, Liang Wang, Greg Welch, Marc Pollefeys

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Tags: Algorithms, ATI, ATI Radeon X1800, Computer science, Computer vision

March 21, 2011 by hgpu

GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios

Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. Yoginath, Sudip K. Seal

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Tags: Cg, Computational Engineering, Computational modelling, Computer science, nVidia, nVidia GeForce 8800 GTX, OpenGL

March 21, 2011 by hgpu

An approach for the effective utilization of GP-GPUs in parallel combined simulation

David W. Bauer, Matthew McMahon, Ernest H. Page

Tags: Computer science, Heterogeneous systems, Partial differential equations, PDEs, Performance

March 21, 2011 by hgpu

Efficient lists intersection by CPU-GPU cooperative computing

Di Wu, Fan Zhang, Naiyong Ao, Gang Wang, Xiaoguang Liu, Jing Liu

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Tags: Computer science, CUDA, Data Structures and Algorithms, nVidia, Presentation, Tesla C1060

March 20, 2011 by hgpu

Real-time Stochastic Rasterization on Conventional GPU Architectures

M McGuire, E Enderton, P Shirley, D Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce GTX 280, OpenGL

March 20, 2011 by hgpu

Efficient planar features matching for robot localization using GPU

Baptiste Charmette, Eric Royer, Frederic Chausse

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 770 M, SIFT

March 20, 2011 by hgpu

GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

David Mayerich, John Keyser

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Tags: Algorithms, Computer science, Image processing, Rendering

March 20, 2011 by hgpu

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Tamas K. Lengyel, James Gedarovich, Antonio Cusano, Thomas J. Peters

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT

March 20, 2011 by hgpu

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

David Barrie Thomas, Lee Howes, Wayne Luk

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Pseudo-random number generators

March 20, 2011 by hgpu

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Xiang Tian, Khaled Benkrid

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Pseudo-random number generators

March 20, 2011 by hgpu

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

A El Zein, E McCreath, Alistair Rendell, Alex Smola

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce 8800 GTX, Presentation, Sparse matrix

March 20, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

High-quality Real-time Stereo using Adaptive Cost Aggregation and Dynamic Programming

Stereovision On GPU

GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios

An approach for the effective utilization of GP-GPUs in parallel combined simulation

Efficient lists intersection by CPU-GPU cooperative computing

Real-time Stochastic Rasterization on Conventional GPU Architectures

Efficient planar features matching for robot localization using GPU

GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)