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GPU Acceleration of Algebraic Multigrid for Low-Frequency Finite Element Methods

Elia A. Attardo, Andrea Borsic

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Tags: Finite element method, GPU AMG, nVidia, Tesla S1070

June 9, 2013 by egpu

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

David Camp, Hari Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050, Visualization

June 8, 2013 by hgpu

High Resolution Sparse Voxel DAGs

Viktor Kampe, Erik Sintorn, Ulf Assarsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Raytracing

June 8, 2013 by hgpu

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Rainer Erbes

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5000, Thesis

June 8, 2013 by hgpu

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Mohsin Altaf Wani, S.M.K Quadri

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Programming techniques

June 8, 2013 by hgpu

Modernizing the core quantum chemistry algorithms

Andrey Asadchev

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, nVidia, Programming techniques, Tesla C2050, Thesis

June 8, 2013 by hgpu

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 580, Package

June 7, 2013 by hgpu

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Alwyn V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization

June 7, 2013 by hgpu

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Lubomir Klimes, Josef Stetina

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Tags: Computer science, CUDA, Materials Science, nVidia, Solidification, Tesla C2075

June 7, 2013 by hgpu

Scientific Computing on Hybrid Architectures

Marcus Holm

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 260, Tesla M2050, Thesis

June 7, 2013 by hgpu

CUDA Based Performance Evaluation of the Computational Efficiency of the DCT Image Compression Technique on Both the CPU and GPU

Kgotlaetsile Mathews Modieginyane, Zenzo Polite Ncube, Naison Gasela

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Tags: Algorithms, Compression, Computer science, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 480

June 7, 2013 by hgpu

Parallel Implementation of Finite Element Codes using CUDA

Shi-Lun Huang

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Tags: Computer science, Conjugate gradient solver, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560

June 6, 2013 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

GPU Acceleration of Algebraic Multigrid for Low-Frequency Finite Element Methods

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting

High Resolution Sparse Voxel DAGs

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Accelerated Dynamic Programming on GPU: A Study of Speed Up and Programming Approach

Modernizing the core quantum chemistry algorithms

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Parallel Dynamic Solidification Model of Continuous Steel Casting on GPU

Scientific Computing on Hybrid Architectures

CUDA Based Performance Evaluation of the Computational Efficiency of the DCT Image Compression Technique on Both the CPU and GPU

Parallel Implementation of Finite Element Codes using CUDA

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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