high performance computing on graphics processing units: hgpu.org

Clemens Grelck, Kevin Hammond, Heinz Hertlein, Philip Holzenspies, Chris Jesshope, Raimund Kirner, Bernd Scheuermann, Alex Shafarenko, Iraneus Te Boekhorst, Volkmar Wieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 425 M, Performance, Visualization

December 29, 2011 by hgpu

Parallel computing system for the efficient calculation of molecular similarity based on negative electrostatic potential

Raul Ernesto Torres Carvajal

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Tags: Algorithms, Chemistry, Cluster analysis, CUDA, Electrostatic potential, Electrostatics, nVidia, nVidia GeForce GT 240, Pattern recognition, Thesis

December 29, 2011 by hgpu

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Geoscience, nVidia, Optimization, Sensing, Tesla C2050

December 29, 2011 by hgpu

Accelerating NBODY6 with Graphics Processing Units

Keigo Nitadori, Sverre J. Aarseth

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Source codes

Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 560 Ti, Package

December 29, 2011 by hgpu

Improving the speed of neural networks on CPUs

Vincent Vanhoucke, Andrew Senior, Mark Z. Mao

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Tags: Computer science, CUDA, Neural networks, nVidia, Speech recognition, Tesla C2070, Tutorial

December 28, 2011 by hgpu

Multilevel Tile Load Map on Massive Terrain Visualization

Junlan Nie, Dongliang Guo, Yanfen Wang, Lingfu Kong, Yong Tang

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Tags: Algorithms, Computer science, GLSL, Image processing, nVidia, nVidia GeForce GT 240 M, OpenGL, Optimization, Rendering, Visualization

December 28, 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

Applications

Deep Shadow Maps from Volumetric Data on the GPU

Resource-Aware Compiler Prefetching for Fine-Grained Many-Cores

Acceleration of PIC Simulation with GPU

Scalable Fast Multipole Methods on Distributed Heterogeneous Architectures

Parallelism, Patterns, and Performance in Iterative MRI Reconstruction

Visualization assisted by parallel processing

Engineering Concurrent Software Guided by Statistical Performance Analysis

Parallel computing system for the efficient calculation of molecular similarity based on negative electrostatic potential

Parallel Quadtree Coding of Large-Scale Raster Geospatial Data on Multicore CPUs and GPGPUs

Accelerating NBODY6 with Graphics Processing Units

Improving the speed of neural networks on CPUs

Multilevel Tile Load Map on Massive Terrain Visualization

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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