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The role of GPU computing in medical image analysis and visualization

S. Moulik, W. Boonn

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Tags: Algorithms, Computer science, CUDA, Image processing, Medicine, nVidia, OpenCL, OpenGL, Visualization

November 17, 2011 by hgpu

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Allen D. Malony, Scott Biersdorff, Sameer Shende, Heike Jagode, Stanimire Tomov, Guido Juckeland, Robert Dietrich, Duncan Poole, Christopher Lamb

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla C870

November 17, 2011 by hgpu

Simulations of Large Particle Systems in Real Time

Witold Alda, Krzysztof Boryczko

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Tags: Algorithms, Computer science, CUDA, Molecular dynamics, nVidia, OpenCL, Particle simulation, Visualization

November 16, 2011 by hgpu

Object Space Based Collision Detection for Cloth Simulation on the GPU

Tzvetomir Vassilev, Vladimir Dochev

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 260, OpenCL, OpenGL

November 16, 2011 by hgpu

CUDA and OpenCL-based asynchronous PSO

Youssef S. G. Nashed, Alessandro Bacchini, Stefano Cagnoni, Luca Mussi

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Tags: Computer science, CUDA, Genetic programming, nVidia, OpenCL

November 16, 2011 by hgpu

Grids, Clouds and Virtualization

Massimo Cafaro, Giovanni Aloisio (Eds.)

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Tags: Book, Cloud, Computer science, CUDA, Grid, nVidia, Review, Tesla M1060, Virtualization

November 16, 2011 by hgpu

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

Mark Howison, E. Wes Bethel, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia Quadro FX 5800, Rendering, Visualization

November 16, 2011 by hgpu

Prospects for scalable 3D FFTs on heterogeneous exascale systems

Chris McClanahan, Kent Czechowski, Casey Battaglino, Kartik Iyer, P.-K. Yeung, Richard Vuduc

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Tags: Analytical model, Benchmarking, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Package, Tesla M2070

November 16, 2011 by hgpu

High Performance Data Mining Using R on Heterogeneous Platforms

Prabhat Kumar, Berkin Ozisikyilmaz, Wei-Keng Liao, Gokhan Memik, Alok Choudhary

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Tags: Computer science, CUDA, Data mining, Heterogeneous systems, MPI, nVidia, nVidia GeForce 8800 GT, Optimization

November 15, 2011 by hgpu

Variable selection in a GPU cluster using delta test

A. Guillen, M. van Heeswijk, D. Sovilj, M. G. Arenas, L. J. Herrera, H. Pomares, I. Rojas

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Tags: Algorithms, Computer science, Genetic programming, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 9800 GTX, nVidia GeForce GTS 450, Optimization

November 15, 2011 by hgpu

GStream: A General-Purpose Data Streaming Framework on GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Data parallelism, GPU cluster, nVidia, Tesla C2050

November 15, 2011 by hgpu

gSLIC: a real-time implementation of SLIC superpixel segmentation

Carl Yuheng Ren, Ian Reid

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Tags: Clustering, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Package

November 15, 2011 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

The role of GPU computing in medical image analysis and visualization

Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs

Simulations of Large Particle Systems in Real Time

Object Space Based Collision Detection for Cloth Simulation on the GPU

CUDA and OpenCL-based asynchronous PSO

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

Prospects for scalable 3D FFTs on heterogeneous exascale systems

High Performance Data Mining Using R on Heterogeneous Platforms

Variable selection in a GPU cluster using delta test

GStream: A General-Purpose Data Streaming Framework on GPU Clusters

gSLIC: a real-time implementation of SLIC superpixel segmentation

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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