high performance computing on graphics processing units: hgpu.org

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Maintaining constant frame rates in 3D texture-based volume rendering

D. Weiskopf, M. Weiler, T. Ertl

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800 Pro, Computer science, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Raytracing, Rendering

November 6, 2010 by hgpu

Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization

Helen Hong, Seongjin Park

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Tags: ATI, ATI Radeon 9600, Computed tomography, CT, DirectX, Image processing, Medicine, Rendering

November 6, 2010 by hgpu

An Introduction to GPU Accelerated Surgical Simulation

Thomas S. Sorensen, Jesper Mosegaard

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Tags: ATI, ATI Radeon X1900, Medicine, nVidia, nVidia GeForce 7900 GTX, OpenGL, Surgical simulation

November 5, 2010 by hgpu

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liyanage, Lin Cao, Jacob Staples, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenCL, RV870

November 5, 2010 by hgpu

The Scalable Heterogeneous Computing (SHOC) benchmark suite

Anthony Danalis,Gabriel Marin,Collin McCurdy,Jeremy S. Meredith,Philip C. Roth,Kyle Spafford,Vinod Tipparaju,Jeffrey S. Vetter

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Source codes

Tags: ATI, ATI Radeon HD 5770, ATI Radeon HD 5870, ATI Stream, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 9400 M, OpenCL, Package, Performance, Tesla C1060

November 5, 2010 by hgpu

Accelerator: using data parallelism to program GPUs for general-purpose uses

David Tarditi, Sidd Puri, Jose Oglesby

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Tags: ATI, ATI Radeon X1800, ATI Radeon X850 XT, Computer science, High-level Languages, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX

November 5, 2010 by hgpu

Relational joins on graphics processors

Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander

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Tags: Algorithms, ATI, ATI CAL, ATI R600, ATI Stream, Computer science, CUDA, Join, nVidia, nVidia GeForce 8800 GTX, Sorting

November 4, 2010 by hgpu

Artificial neural network computation on graphic process unit

Zhongwen Luo, Hongzhi Liu, Xincai Wu

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Tags: ATI, ATI Radeon 9550, Computer science, Neural networks, nVidia, nVidia GeForce 6200, nVidia GeForce 6xxx, OpenGL

November 4, 2010 by hgpu

Brook for GPUs: Stream Computing on Graphics Hardware

I. Buck, T. Foley, D. Horn, J. Sugerman, K. Mike, H. Pat

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Tags: ATI, ATI Radeon 9800 XT, ATI Stream, Brook, Computer science, High-level Languages, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL, Stream Computing

November 3, 2010 by hgpu

Computer vision signal processing on graphics processing units

James Fung, Steve Mann

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Tags: ATI, Computer science, Computer vision, nVidia, OpenGL

November 3, 2010 by hgpu

GPU-accelerated deep shadow maps for direct volume rendering

Markus Hadwiger, Andrea Kratz, Christian Sigg, Katja Bühler

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1800, Computer science, Image generation, Raytracing, Rendering

November 2, 2010 by hgpu

Linear algebra operators for GPU implementation of numerical algorithms

Jens Krüger, Rüdiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800, Computer science, Finite difference, Fluid simulation, Linear Algebra, Navier-Stokes equations, NSEs, OpenGL, Raytracing, Rendering, Simulation support systems

November 2, 2010 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Maintaining constant frame rates in 3D texture-based volume rendering

Graphics Hardware-Based Level-Set Method for Interactive Segmentation and Visualization

An Introduction to GPU Accelerated Surgical Simulation

Accelerating MATLAB Image Processing Toolbox functions on GPUs

The Scalable Heterogeneous Computing (SHOC) benchmark suite

Accelerator: using data parallelism to program GPUs for general-purpose uses

Relational joins on graphics processors

Artificial neural network computation on graphic process unit

Brook for GPUs: Stream Computing on Graphics Hardware

Computer vision signal processing on graphics processing units

GPU-accelerated deep shadow maps for direct volume rendering

Linear algebra operators for GPU implementation of numerical algorithms

Recent source codes

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

ROCm's implementation of Gromacs

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

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