high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

GPGPU-compatible archive based stochastic ranking evolutionary algorithm (G-ASREA) for multi-objective optimization

Deepak Sharma, Pierre Collet

Tags: Algorithms, Computer science, Evolutionary Computations

February 4, 2011 by hgpu

A Graphics Hardware-Based Vortex Detection and Visualization System

Simon Stegmaier, Thomas Ertl

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Tags: ATI, ATI Radeon 9800 XT, Computer science, Fluid simulation, HLSL, Rendering, Visualization

February 4, 2011 by hgpu

Dispersion Simulation and Visualization For Urban Security

Arie E. Kaufman, Feng Qiu, Haik Lorenz, Jianning Wang, Suzanne Yoakum-Stover, Arie Kaufman, Klaus Mueller

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Tags: Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Visualization

February 4, 2011 by hgpu

Depth Enhanced Panoramas

Gleb Bahmutov, Voicu Popescu, Elisha Sacks

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia Quadro FX 3000, OpenGL, Visualization

February 4, 2011 by hgpu

Lattice Based Volumetric Global Illumination

Feng Qiu, Fang Xu, Zhe Fan, Neophytou Neophytos, Arie Kaufman, Klaus Mueller

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, Rendering, Visualization

February 4, 2011 by hgpu

Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors

Avneesh Pant, Hassan Jafri, Volodymyr Kindratenko

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Tags: Algorithms, Computer science, MPI

February 4, 2011 by hgpu

QP: A Heterogeneous Multi-Accelerator Cluster

Michael Showerman, Jeremy Enos, Avneesh Pant, Volodymyr Kindratenko, Craig Steffen, Robert Pennington, Wen-mei Hwu

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Tags: Computer science, CUDA, FPGA, GPU cluster, nVidia, nVidia Quadro FX 5600, Review

February 4, 2011 by hgpu

On testing GPU memory for hard and soft errors

Guochun Shi, Jeremy Enos, Michael Showerman, Volodymyr Kindratenko

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Source codes

Tags: Computer science, CUDA, Hardware Architecture, Memory, nVidia, Package, Tesla C1060, Tesla S1070

February 3, 2011 by hgpu

Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters

J. Enos, C. Steffen, J. Fullop, M. Showerman, G. Shi, K. Esler, V. Kindratenko, J. Stone, J. Phillips

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Tags: Computer science, CUDA, Energy-efficient computing, GPU cluster, nVidia, Performance

February 3, 2011 by hgpu

3D Information Extraction Based on GPU

Ying Zhang

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Tesla C1060

February 3, 2011 by hgpu

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

Ahmed Al Maashri, Guangyu Sun, Xiangyu Dong, Vijay Narayanan and Yuan Xie

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Tags: Computer science, CUDA, Hardware Architecture, Memory, Memory model, nVidia, nVidia GeForce 6400 GT

February 3, 2011 by hgpu

3D finite element numerical integration on GPUs

Pawel Maciol, Przemyslaw Plaszewski and Krzysztof Banasa

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Tags: Computer science, CUDA, Finite element method, nVidia, nVidia GeForce 8800 GTX

February 3, 2011 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

GPGPU-compatible archive based stochastic ranking evolutionary algorithm (G-ASREA) for multi-objective optimization

A Graphics Hardware-Based Vortex Detection and Visualization System

Dispersion Simulation and Visualization For Urban Security

Depth Enhanced Panoramas

Lattice Based Volumetric Global Illumination

Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors

QP: A Heterogeneous Multi-Accelerator Cluster

On testing GPU memory for hard and soft errors

Quantifying the Impact of GPUs on Performance and Energy Efficiency in HPC Clusters

3D Information Extraction Based on GPU

3D GPU Architecture using Cache Stacking: Performance, Cost, Power and Thermal analysis

3D finite element numerical integration on GPUs

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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