high performance computing on graphics processing units: hgpu.org

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High-performance biocomputing for simulating the spread of contagion over large contact networks

Keith R. Bisset, Ashwin M. Aji, Madhav V. Marathe, Wu-chun Feng

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Tags: Biology, CUDA, GPU cluster, nVidia, Tesla S2050

August 12, 2011 by hgpu

THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Wenji Wu, Phil DeMar, Don Holmgren, Amitoj Singh, Ruth Pordes

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Tags: Computer science, CUDA, GPU cluster, Networking and Internet Architecture, nVidia, Tesla C2070

August 9, 2011 by hgpu

Enabling active storage on parallel I/O software stacks

Seung Woo Son, Samuel Lang, Philip Carns, Robert Ross, Rajeev Thakur, Berkin Ozisikyilmaz, Prabhat Kumar, Wei-Keng Liao, Alok Choudhary

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

August 6, 2011 by hgpu

Petascale visualization: Approaches and initial results

James Ahrens, Li-Ta Lo, Boonthanome Nouanesengsy, John Patchett, Allen McPherson

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Tags: Computer science, GPU cluster, nVidia, nVidia Quadro FX 5600, OpenGL, Presentation, Raytracing, Rendering, Visualization

August 5, 2011 by hgpu

A fast hybrid time-synchronous/event approach to parallel discrete event simulation of queuing networks

Hyungwook Park, Paul A. Fishwick

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Tags: Computer science, CUDA, GPU cluster, Network communications, nVidia, nVidia GeForce 8800 GTX

August 3, 2011 by hgpu

Large Scale Simulations of the Euler Equations on GPU Clusters

Manfred Liebmann, Craig C. Douglas, Gundolf Haase, Zoltan Horvath

Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295

July 22, 2011 by hgpu

Hybrid OpenCL: Enhancing OpenCL for Distributed Processing

Ryo Aoki, Shuichi Oikawa, Takashi Nakamura, Satoshi Miki

Tags: Code generation, Computer science, GPU cluster, MPI, OpenCL

July 22, 2011 by hgpu

System integration of FastSPECT III, a dedicated SPECT rodent-brain imager based on BazookaSPECT detector technology

Brian W. Miller, Lars R. Furenlid, Stephen K. Moore, H. Bradford Barber, Vivek V. Nagarkar, Harrison H. Barrett

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Tags: Computed tomography, CT, CUDA, GPU cluster, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 295, OpenMP, Tomography

July 19, 2011 by hgpu

A Parallel Multi-view Rendering Architecture

Wallace Lages, Carlucio Cordeiro, Dorgival Guedes

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Tags: Algorithms, GLSL, GPU cluster, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Rendering

July 18, 2011 by hgpu

Accelerating data clustering on GPU-based clusters under shared memory abstraction

K.I. Karantasis, E.D. Polychronopoulos, G.N. Dimitrakopoulos

Tags: Clustering, Computer science, GPU cluster, OpenMP

July 9, 2011 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

High-performance biocomputing for simulating the spread of contagion over large contact networks

G-NetMon: A GPU-accelerated Network Performance Monitoring System

G-NetMon: A GPU-accelerated Network Performance Monitoring System for Large Scale Scientific Collaborations

Enabling active storage on parallel I/O software stacks

Petascale visualization: Approaches and initial results

A fast hybrid time-synchronous/event approach to parallel discrete event simulation of queuing networks

Large Scale Simulations of the Euler Equations on GPU Clusters

Hybrid OpenCL: Enhancing OpenCL for Distributed Processing

System integration of FastSPECT III, a dedicated SPECT rodent-brain imager based on BazookaSPECT detector technology

A Parallel Multi-view Rendering Architecture

Accelerating data clustering on GPU-based clusters under shared memory abstraction

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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