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Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Peter Fodrek, Ludovit Farkas, Michal Blaho, Martin Foltin, Juraj Hnat, Tomas Murgas

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Tags: Benchmarking, Computer science, OpenCL, Performance, Task scheduling

November 14, 2012 by hgpu

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

Haicheng Wu, Gregory Diamos, Srihari Cadambi, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, nVidia, Optimization, Tesla C2070

November 14, 2012 by hgpu

Real-Time Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

Erik Smistad, Anne C. Elster, Frank Lindseth

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Tags: ATI, ATI Radeon HD 5870, Medicine, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Tesla C2070, Visualization

November 14, 2012 by hgpu

A parallel method for tuning Fuzzy TSK Systems with CUDA

Bruno B. Ferreira, Adriano J. O. Cruz

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 550 Ti, nVidia GeForce GTX 590, Tesla C2070

November 11, 2012 by hgpu

Analysis of periodic anisotropic media by means of split-field FDTD method and GPU computing

J. Frances, S. Bleda, M. L. Alvarez, F. J. Martinez, A. Marquez, C. Neipp, A. Belendez

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Tags: Anisotropy, CUDA, FDTD, Finite-difference time-domain, Liquid crystals, nVidia, nVidia GeForce GTX 470, Physics

November 11, 2012 by hgpu

Using Graphic Processor Units for the Study of Electric Propagation in Realistic Heart Models

Andres Mena, Jose F Rodriguez

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Tags: CUDA, Heart, Medicine, nVidia, Tesla M2090

November 11, 2012 by hgpu

Numerical Solutions of Heat and Mass Transfer with the Third Kind Boundary and Initial Conditions in Capillary Porous Media Using Programmable Graphics Hardware

Hira Narang, Fan Wu, Aswad Abdul Shakur

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Tags: CUDA, nVidia, nVidia Quadro FX 4800, Physics, Thermodynamics

November 11, 2012 by hgpu

Fast Gpu-Based Interpolation for SAR Backprojection

A. Capozzoli, C. Curcio, A. Liseno

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Tags: Algorithms, CUDA, Electrodynamics, FFT, nVidia, Tesla C2050

November 11, 2012 by hgpu

GPU Acceleration of Pyrosequencing Noise Removal

Yang Gao, Jason D. Bakos

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Tags: Algorithms, Bioinformatics, Biology, Clustering, CUDA, MPI, nVidia, Sequence alignment, Tesla C2070

November 10, 2012 by hgpu

Sigma*: Symbolic Learning of Input-Output Specifications

Matko Botincan, Domagoj Babic

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Programming Languages

November 10, 2012 by hgpu

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

Cyrus Harrison, Paul Navratil, Maysam Moussalem, Ming Jiang, Hank Childs

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Tags: Computer science, nVidia, OpenCL, Python, Tesla M2050, Visualization

November 10, 2012 by hgpu

Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment

Emmanuel N. Millan, Carlos Garcia Garino, Eduardo M. Bringa

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Tags: Chemistry, CUDA, Molecular dynamics, nVidia, OpenMPI, Package, Ruby, Tesla C2050

November 10, 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

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation

Real-Time Surface Extraction and Visualization of Medical Images using OpenCL and GPUs

A parallel method for tuning Fuzzy TSK Systems with CUDA

Analysis of periodic anisotropic media by means of split-field FDTD method and GPU computing

Using Graphic Processor Units for the Study of Electric Propagation in Realistic Heart Models

Numerical Solutions of Heat and Mass Transfer with the Third Kind Boundary and Initial Conditions in Capillary Porous Media Using Programmable Graphics Hardware

Fast Gpu-Based Interpolation for SAR Backprojection

GPU Acceleration of Pyrosequencing Noise Removal

Sigma*: Symbolic Learning of Input-Output Specifications

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

Parallel execution of a parameter sweep for molecular dynamics simulations in a hybrid GPU/CPU environment

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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