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Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

I. Demir, R. Westermann

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Tags: Computer science, CUDA, Image generation, Matrix inversion, nVidia, nVidia GeForce GTX 580

July 29, 2013 by hgpu

Real-time 3D semi-local surface patch extraction using GPGPU

Sergio Orts-Escolano, Vicente Morell, Jose Garcia-Rodriguez, Miguel Cazorla, Robert B. Fisher

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 480

July 29, 2013 by hgpu

Harnessing the GPU for Real-Time Haptic Tissue Simulation

C. E. Etheredge, E. E. Kunst, A. J. B. Sanders

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Tags: CUDA, Medicine, nVidia, Tesla C2050

July 29, 2013 by hgpu

Point Based Approximate Color Bleeding With Cuda

Nicholas D. Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Tesla C2050, Thesis

July 29, 2013 by hgpu

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Fei Wang, Jianqiang Dong, Bo Yuan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla K20

July 27, 2013 by hgpu

Systematic Performance Optimization of Cone-Beam Back-Projection on the Kepler Architecture

Timo Zinsser, Benjamin Keck

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Tags: Computed tomography, CT, CUDA, Medicine, nVidia, nVidia GeForce GTX 680, Tesla C2070, Tomography

July 27, 2013 by hgpu

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

Shivang Ghetia, Nagendra Gajjar, Ruchi Gajjar

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Tesla C2075

July 27, 2013 by hgpu

Fast Image Processing with Embedded Microprocessors

Guillermo Jesus Rafael Hernandez Gallegos

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Tags: Image processing, OpenCV, OpenGL, Thesis

July 27, 2013 by hgpu

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

Nacho Valladares Cereceda

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

July 27, 2013 by hgpu

A unified sparse matrix data format for modern processors with wide SIMD units

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Alan R. Bishop

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Phi, Mathematical Software, nVidia, Sparse matrix, Tesla K20

July 25, 2013 by hgpu

Parallel birth and death process for cell nuclei extraction in histopathology images

Christophe Avenel, Pierre Fortin, Dominique Bereziat

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Tags: Biology, CUDA, Medicine, nVidia, Tesla C2070

July 25, 2013 by hgpu

Characterization of Lossy SIW Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit

Giandomenico Amendola, Giovanni Angiulli, Emilio Arnieri, Luigi Boccia, Domenico De Carlo

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Tags: CUDA, Electrodynamics, Neural networks, nVidia, Tesla C2070

July 25, 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

Progressive High-Quality Response Surfaces for Visually Guided Sensitivity Analysis

Real-time 3D semi-local surface patch extraction using GPGPU

Harnessing the GPU for Real-Time Haptic Tissue Simulation

Point Based Approximate Color Bleeding With Cuda

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism

Systematic Performance Optimization of Cone-Beam Back-Projection on the Kepler Architecture

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

Fast Image Processing with Embedded Microprocessors

GPU Parallel Algorithms for Reporting Movement Behaviour Patterns in Spatiotemporal Databases

A unified sparse matrix data format for modern processors with wide SIMD units

Parallel birth and death process for cell nuclei extraction in histopathology images

Characterization of Lossy SIW Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit

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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