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GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

Rey DeLeon, Inanc Senocak

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Tags: CUDA, Fluid dynamics, GPU cluster, Numerical simulation, nVidia

March 10, 2012 by hgpu

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Blake C. Lucas, Michael Kazhdan, Russell H. Taylor

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Tags: Algorithms, Computer science, Computer vision, Java, nVidia, nVidia Quadro FX 4000, OpenCL

March 10, 2012 by hgpu

Asynchronous Parallel Computing Model of Global Motion Estimation with CUDA

Zuo Chen, Jialiang Ji, Renfa Li

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 220, Video encoding

March 9, 2012 by hgpu

A Study of CUDA Acceleration and Impact of Data Transfer Overhead in Heterogeneous Environment

Fahian Ahmed, Saddam Quirem, Bum Joo Shin, Duk Joo Son, Young Choon Woo, Byeong Kil Lee, Wan Choi

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Tags: Algorithms, Computer science, CUDA, Databases, Heterogeneous systems, nVidia, Optimization, Security, Tesla C1060

March 9, 2012 by hgpu

Dynamic Scheduling for Work Agglomeration on Heterogeneous Clusters

Jonathan Lifflander, G. Carl Evans, Anshu Arya, Laxmikant V. Kale

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Tags: Computer science, CUDA, Heterogeneous systems, N-body simulation, nVidia, Particle simulation, Tesla S1070

March 9, 2012 by hgpu

Relational Algorithms for Multi-Bulk-Synchronous Processors

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang, Sudhakar Yalamanchili

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Optimization, Tesla C2050

March 9, 2012 by hgpu

NLSEmagic: Nonlinear Schrodinger Equation Multidimensional Matlab-based GPU-accelerated Integrators using Compact High-order Schemes

Ronald M. Caplan

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Tags: Computational Physics, Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 580, Package

March 9, 2012 by hgpu

Scalable framework for mapping streaming applications onto multi-GPU systems

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh

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Tags: Algorithms, Code generation, Computer science, CUDA, GPU cluster, nVidia, Tesla C2070

March 8, 2012 by hgpu

Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging

Richard Membarth, Jan-Hugo Lupp, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C2050

March 8, 2012 by hgpu

Compiler Assisted Runtime Adaptation

Vlad-Mihai Sima

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Tags: Compilers, Computer science, DSP, FPGA, Heterogeneous systems, OpenCL, Optimization, Thesis

March 8, 2012 by hgpu

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

Mehrzad Samadi, Amir Hormati, Janghaeng Lee, Scott Mahlke

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Optimization, Programming techniques

March 8, 2012 by hgpu

PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators

Li-ta Lo, Christopher Sewell, James Ahrens

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, OpenCL, Package, Visualization

March 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Asynchronous Parallel Computing Model of Global Motion Estimation with CUDA

A Study of CUDA Acceleration and Impact of Data Transfer Overhead in Heterogeneous Environment

Dynamic Scheduling for Work Agglomeration on Heterogeneous Clusters

Relational Algorithms for Multi-Bulk-Synchronous Processors

NLSEmagic: Nonlinear Schrodinger Equation Multidimensional Matlab-based GPU-accelerated Integrators using Compact High-order Schemes

Scalable framework for mapping streaming applications onto multi-GPU systems

Dynamic Task-Scheduling and Resource Management for GPU Accelerators in Medical Imaging

Compiler Assisted Runtime Adaptation

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

PISTON: A Portable Cross-Platform Framework for Data-Parallel Visualization Operators

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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