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Performance Evaluation of Edge Detection Techniques on GPU Using OpenCL

Aruna Dore, Sunitha Lasrado

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Tags: Computer science, Edge detection, nVidia, nVidia GeForce GTX 470, OpenCL

September 25, 2014 by hgpu

MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry Taylor

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Vector Machine

September 25, 2014 by hgpu

Scalability Analysis of Parallel Algorithms on GPU Clusters

Fengshun Lu, Yufei Pang, Fukang Yin

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Tags: Algorithms, Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Tesla M2050

September 25, 2014 by hgpu

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Mikhail A. Farkov

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Tags: Algorithms, Bioinformatics, Biology, CUDA, molecular docking, nVidia, nVidia GeForce GT 440, Tesla K20, Tesla M2090

September 24, 2014 by hgpu

Advanced Optimizations of An Implicit Navier-Stokes Solver on GPGPU

Lixiang Luo, Jack R. Edwards, Hong Luo, Frank Mueller

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Tags: CUDA, Fluid dynamics, MPI, Navier-Stokes equations, nVidia, OpenACC

September 23, 2014 by hgpu

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Benjamin Brock, Andrew Belt, Jay Jay Billings, Mike Guidry

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Solar and Stellar Astrophysics, Tesla K20

September 23, 2014 by hgpu

Computational Gravitational Dynamics with Modern Numerical Accelerators

Simon Portegies Zwart, Jeroen Bedorf

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Tags: Algorithms, Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Stellar dynamics, Tesla K20

September 23, 2014 by hgpu

An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes

Asier Lacasta, Mario Morales-Hernández, Javier Murillo, Pilar García-Navarro

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Tags: CUDA, Finite volume method, Hyperbolic PDEs, nVidia Tesla, Triangular meshes

September 23, 2014 by alacasta

High performance histogramming on massively parallel processors

Wen-Mei Hwu

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Tags: Computer science, Computer vision, CUDA, Databases, Machine learning, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 780, Thesis

September 20, 2014 by hgpu

Parallel Hierarchical Clustering on the GPU

Ursula Reiterer

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Tags: Algorithms, Clustering, Computer science, nVidia, nVidia GeForce GT 650 M, OpenCL, PTX, Thesis

September 20, 2014 by hgpu

Interactive Ray Tracing with Data Locality Optimizations

Sebastian Mayr

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Tags: Algorithms, ATI, ATI Radeon HD 5650 M, Computer science, nVidia, nVidia GeForce GT 520, OpenCL, Raytracing, Rendering, Thesis

September 20, 2014 by hgpu

Parallel Primitive Optimization for GPU and Multicore

Andreas Hormandinger

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Tags: ATI, ATI Radeon HD 6970, Code generation, Computer science, OpenCL, Thesis

September 20, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Performance Evaluation of Edge Detection Techniques on GPU Using OpenCL

MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs

Scalability Analysis of Parallel Algorithms on GPU Clusters

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Advanced Optimizations of An Implicit Navier-Stokes Solver on GPGPU

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Computational Gravitational Dynamics with Modern Numerical Accelerators

An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes

High performance histogramming on massively parallel processors

Parallel Hierarchical Clustering on the GPU

Interactive Ray Tracing with Data Locality Optimizations

Parallel Primitive Optimization for GPU and Multicore

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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