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Gauge Fixing in Lattice QCD on GPUs

Mario Schrock

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics, QCD

January 9, 2012 by hgpu

A new parallel tool for classification of remotely sensed imagery

Sergio Bernabe, Antonio Plaza, Prashanth Reddy Marpu, Jon Atli Benediktsson

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Tags: Clustering, CUDA, Earth and Space Sciences, Java, nVidia, nVidia GeForce 9400 M, Tesla C1060

January 9, 2012 by hgpu

Top-k Queries Processing With Uncertain Data on Graphics Processing Units

Haozhe Chang, Tingting Qin, Xiaoguang Liu, Gang Wang, Airu Yin

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

January 9, 2012 by hgpu

Designing Numerical Solvers for Next Generation High Performance Computing

Mark James Mawson

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro FX 6000, PC cluster, Review, Thesis

January 9, 2012 by hgpu

LU Factorization for Accelerator-based Systems

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Julien Langou, Hatem Ltaief, Stanimire Tomov

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S1070, Tesla S2050

January 9, 2012 by hgpu

Neural Network Simulation: The recognition application

Panagiotis Afxentis, Alicia Sanchez Crespo, Ying Zhang

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Tags: Algorithms, CNN, Computer science, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 570

January 9, 2012 by hgpu

Spatial Sorting Algorithms for Parallel Computing in Networks

Max OrHai, Christof Teuscher

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Tags: Algorithms, Cluster computing, Computer science, Sorting

January 9, 2012 by hgpu

High Performance and Scalable GPU Graph Traversal

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280, Tesla C2050

January 9, 2012 by hgpu

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

Jia Pan, Dinesh Manocha

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Tags: Algorithms, Computer science, Data mining, Databases, Hashing, Nearest neighbour, nVidia, nVidia GeForce GTX 480

January 9, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Makespan computation for GPU threads running on a single streaming multiprocessor

Kostiantyn Berezovskyi, Konstantinos Bletsas, Bjorn Andersson

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Tags: Computer science, CUDA, nVidia, Optimization, Timing analysis

January 8, 2012 by hgpu

Hybrid Algorithms for List Ranking and Graph Connected Components

Dip Sankar Banerjee, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, List ranking, nVidia, Sorting, Tesla C1060

January 8, 2012 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

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high performance computing on graphics processing units: hgpu.org

Applications

Gauge Fixing in Lattice QCD on GPUs

A new parallel tool for classification of remotely sensed imagery

Top-k Queries Processing With Uncertain Data on Graphics Processing Units

Designing Numerical Solvers for Next Generation High Performance Computing

LU Factorization for Accelerator-based Systems

Neural Network Simulation: The recognition application

Spatial Sorting Algorithms for Parallel Computing in Networks

High Performance and Scalable GPU Graph Traversal

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Makespan computation for GPU threads running on a single streaming multiprocessor

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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