high performance computing on graphics processing units: hgpu.org

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Curling and clumping fur represented by texture layers

Paulo Silva, Yosuke Bando, Bing-Yu Chen, Tomoyuki Nishita

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS

November 20, 2010 by hgpu

View-dependent exploration of massive volumetric models on large-scale light field displays

Jose Iglesias Guitian, Enrico Gobbetti, Fabio Marton

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

November 19, 2010 by hgpu

Multi-dimensional characterization of temporal data mining on graphics processors

J. Archuleta, Yong Cao, T. Scogland, Wu-Chun Feng

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280

November 19, 2010 by hgpu

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

Wei W. Feng, Byung U. Kim, Yizhou Yu, Liang Peng, John Hart

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

November 18, 2010 by hgpu

GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction

Markus Moll, Hsiao-Wei Tang, Luc Van Gool

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Tags: Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX

November 16, 2010 by hgpu

Air pollution modelling using a graphics processing unit with CUDA

Ferenc Molnar Jr., Tamas Szakaly, Robert Meszaros, Istvan Lagzi

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Tags: Computational Physics, CUDA, Earth and Space Sciences, Medical Physics, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Package, Physics

November 13, 2010 by hgpu

Tiling for Performance Tuning on Different Models of GPUs

Chang Xu, Steven R. Kirk, Samantha Jenkins

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, Performance

November 13, 2010 by hgpu

An extended GPU radiosity solver

Gunter Wallner

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Tags: Cg, Computer science, Image processing, nVidia, nVidia GeForce 8800 GTS, OpenGL

November 8, 2010 by hgpu

Multi-Level Graph Layout on the GPU

Yaniv Frishman, Ayellet Tal

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Tags: Cg, Computer science, Graph layout, nVidia, nVidia GeForce 8800 GTS, OpenGL

November 5, 2010 by hgpu

MPI within a GPU

Bobby Dalton Young

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Tags: Computer science, CUDA, Data parallelism, MPI, nVidia, nVidia GeForce 8800 GTS, Thesis, Virtualization

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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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

A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU

Tomohiro Okuyama, Fumihiko Ino, Kenichi Hagihara

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Tags: Algorithms, All-Pairs Distance, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Path problems

November 5, 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

Curling and clumping fur represented by texture layers

View-dependent exploration of massive volumetric models on large-scale light field displays

Multi-dimensional characterization of temporal data mining on graphics processors

Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes

GPU-Accelerated Robotic Intra-operative Laparoscopic 3D Reconstruction

Air pollution modelling using a graphics processing unit with CUDA

Tiling for Performance Tuning on Different Models of GPUs

An extended GPU radiosity solver

Multi-Level Graph Layout on the GPU

MPI within a GPU

The Scalable Heterogeneous Computing (SHOC) benchmark suite

A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU

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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