high performance computing on graphics processing units: hgpu.org

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Real-time execution of image change detection

Hugo van Lint

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, Thesis

March 13, 2012 by hgpu

Better speedups using simpler parallel programming for graph connectivity and biconnectivity

James A. Edwards, Uzi Vishkin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Performance, Programming techniques

March 11, 2012 by hgpu

GPU Implementation of Split-Field Finite-Difference Time-Domain Method for Drude-Lorentz Dispersive Media

A. Shahmansouri, B. Rashidian

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 480

March 2, 2012 by hgpu

Chestnut: A GPU Programming Language for Non-Experts

Andrew Stromme, Ryan Carlson, Tia Newhall

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming Languages

March 1, 2012 by hgpu

Vortex particle method and parallel computing

Andrzej Kosior, Henryk Kudela

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 480, Poisson equation

February 26, 2012 by hgpu

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Sorting

February 24, 2012 by hgpu

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan

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Tags: Computer science, CUDA, FFT, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Optimization, Software Engineering, Tesla S1050

February 24, 2012 by hgpu

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata, Vitezslav Zabka

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Tags: Algorithms, CUDA, Differential equations, Image processing, MRI, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Partial differential equations, PDEs

February 22, 2012 by hgpu

Acceleration of Composite Order Bilinear Pairing on Graphics Hardware

Ye Zhang, Chun Jason Xue, Duncan S. Wong, Nikos Mamoulis, S.M. Yiu

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Tags: Algorithms, Cloud, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Security, Tesla M2050

February 21, 2012 by hgpu

A stereoscopic movie player with real-time content adaptation to the display geometry

Sylvain Duchene, Martin Lambers, Frederic Devernay

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Source codes

Tags: Computer science, Image processing, nVidia, nVidia GeForce GTX 480, OpenGL, Package, Real-time graphics

February 17, 2012 by hgpu

Recursive MIS Computation for Streaming BDPT on the GPU

Dietger van Antwerpen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Rendering

February 12, 2012 by hgpu

FPGA accelerated 3D reconstruction using compressive sensing

Jianwen Chen, Jason Cong, Ming Yan, Yi Zou

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Tags: Algorithms, Computer science, CUDA, FPGA, Medicine, nVidia, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tomography

February 12, 2012 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

Real-time execution of image change detection

Better speedups using simpler parallel programming for graph connectivity and biconnectivity

GPU Implementation of Split-Field Finite-Difference Time-Domain Method for Drude-Lorentz Dispersive Media

Chestnut: A GPU Programming Language for Non-Experts

Vortex particle method and parallel computing

A novel sorting algorithm for many-core architectures based on adaptive bitonic sort

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Image segmentation using CUDA implementations of the Runge-Kutta-Merson and GMRES methods

A stereoscopic movie player with real-time content adaptation to the display geometry

Recursive MIS Computation for Streaming BDPT on the GPU

FPGA accelerated 3D reconstruction using compressive sensing

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)