high performance computing on graphics processing units: hgpu.org

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Rapid Modelling of Interactive Geological Illustrations with Faults and Compaction

Mattia Natali, Julius Parulek, Daniel Patel

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, OpenGL, Visualization

July 17, 2014 by hgpu

The Use of GPUs for Solving the Computed Tomography Problem

A.E. Kovtanyuk

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Tags: Computed tomography, CT, CUDA, Image processing, nVidia, nVidia GeForce GTX 660 M, nVidia GeForce GTX 690, Tomography

July 17, 2014 by hgpu

Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs

Lena Oden, Benjamin Klenk, Holger Froning

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Tags: Computer science, CUDA, Distributed computing, Energy-efficient computing, Heterogeneous systems, nVidia, Tesla K20

July 17, 2014 by hgpu

Optimal Periods for Probing Convergence of Infinite-stage Dynamic Programmings on GPUs

Tsutomu Inamoto, Yoshinobu Higami, Shin-ya Kobayashi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

July 17, 2014 by hgpu

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Mustafa Shihab, Karl Taht, Myoungsoo Jung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Storage system

July 16, 2014 by hgpu

Interactive GPU Ray Casting using Progressive Blue Noise Sampling

R. Gmyr, S. Arens, G. Domik

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Tags: Algorithms, Computer science, GLSL, OpenGL, Visualization

July 16, 2014 by hgpu

Parallel Variable Pre-Selection and Lookahead Solving on GPUs

Christopher Schuster

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Package, SAT

July 16, 2014 by hgpu

Computational Simulation of Freely Falling Water Droplets on Graphics Processing Units

Jeremy Appleyard

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Tags: CUDA, Fluid dynamics, nVidia, Tesla C1060, Tesla S2050, Thesis

July 15, 2014 by hgpu

CUD@SAT: SAT Solving on GPUs

Alessandro Dal Pal'u, Agostino Dovier, Andrea Formisano, Enrico Pontelli

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Tags: Computer science, CUDA, Numerical simulation, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, Package, SAT, Tesla C2075

July 15, 2014 by hgpu

On Development, Feasibility, and Limits of Highly Efficient CPU and GPU Programs in Several Fields

David Rohr

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Review, Thesis

July 14, 2014 by hgpu

A Fine Grained Cycle Sharing System with Cooperative Multitasking on GPUs

Fumihiko Ino, Yosuke Oka, Kenichi Hagihara

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Tags: Computer science, CUDA, Distributed computing, Grid, nVidia, nVidia GeForce GTX 680, Task scheduling

July 14, 2014 by hgpu

GPU Techniques Applied to Euler Flow Simulations and Comparison to CPU Performance

Blake Koop

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Tags: CUDA, Fluid dynamics, nVidia, Performance, Tesla C2070

July 14, 2014 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

Rapid Modelling of Interactive Geological Illustrations with Faults and Compaction

The Use of GPUs for Solving the Computed Tomography Problem

Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs

Optimal Periods for Probing Convergence of Infinite-stage Dynamic Programmings on GPUs

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Interactive GPU Ray Casting using Progressive Blue Noise Sampling

Parallel Variable Pre-Selection and Lookahead Solving on GPUs

Computational Simulation of Freely Falling Water Droplets on Graphics Processing Units

CUD@SAT: SAT Solving on GPUs

On Development, Feasibility, and Limits of Highly Efficient CPU and GPU Programs in Several Fields

A Fine Grained Cycle Sharing System with Cooperative Multitasking on GPUs

GPU Techniques Applied to Euler Flow Simulations and Comparison to CPU Performance

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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