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Analyzing Soft-Error Vulnerability on GPGPU Microarchitecture

Jingweijia Tan, Nilanjan Goswami, Tao Li, Xin Fu

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Tags: Computer science, CUDA, nVidia, Optimization, PTX

October 23, 2011 by hgpu

Power and Performance Studies of the Explicit Multi-Threading (XMT) Architecture

Fuat Keceli

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Tags: Algorithms, ASIC, Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Package, Performance, Thesis

October 23, 2011 by hgpu

Computer Finite-Difference Time-Domain Simulation of Electromagnetic Wave Propagation using GPUs

Anna Bonet Manchado

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Tags: Algorithms, CUDA, Data parallelism, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce GTX 280, Tesla C2050, Thesis, Visualization

October 23, 2011 by hgpu

Massively Parallel Algorithms for CFD Simulation and Optimization on Heterogeneous Many-Core Architectures

Austen C. Duffy

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Tags: Algorithms, CUDA, Fluid dynamics, Fortran, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Optimization, Partial differential equations, PDEs, Thesis

October 23, 2011 by hgpu

On the performance of GPU public-key cryptography

Samuel Neves, Filipe Araujo

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security

October 23, 2011 by hgpu

Computational Biology and Applied Bioinformatics

Heitor Silverio Lopes, Leonardo Magalhaes Cruz

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Tags: Bioinformatics, Biology, Book, Computational biology, CUDA, nVidia, Review, Sequence alignment, Spectrometry

October 23, 2011 by hgpu

STT-RAM for Shared Memory in GPUs

Prateeksha Satyamoorthy

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 285, OpenCL, Thesis

October 23, 2011 by hgpu

Dataflow-based Design and Implementation of Image Processing Applications

Chung-Ching Shen, William Plishker, Shuvra S. Bhattacharyya

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 285, Signal processing

October 23, 2011 by hgpu

Accelerating Component-Based Dataflow Middleware with Adaptivity and Heterogeneity

Timothy D. R. Hartley

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5600, Optimization, Performance, Thesis

October 22, 2011 by hgpu

Implementing a Preconditioned Iterative Linear Solver Using Massively Parallel Graphics Processing Units

Amirhassan Asgari Kamiabad

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 280, Power Systems Simulation, Thesis

October 22, 2011 by hgpu

GPU performance prediction using parametrized models

Andreas Resios

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, Optimization, Performance, Thesis

October 22, 2011 by hgpu

CUDA Application Design and Development

Rob Farber

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Tags: Book, Computer science, CUDA, nVidia, Review, Software Engineering

October 22, 2011 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

Analyzing Soft-Error Vulnerability on GPGPU Microarchitecture

Power and Performance Studies of the Explicit Multi-Threading (XMT) Architecture

Computer Finite-Difference Time-Domain Simulation of Electromagnetic Wave Propagation using GPUs

Massively Parallel Algorithms for CFD Simulation and Optimization on Heterogeneous Many-Core Architectures

On the performance of GPU public-key cryptography

Computational Biology and Applied Bioinformatics

STT-RAM for Shared Memory in GPUs

Dataflow-based Design and Implementation of Image Processing Applications

Accelerating Component-Based Dataflow Middleware with Adaptivity and Heterogeneity

Implementing a Preconditioned Iterative Linear Solver Using Massively Parallel Graphics Processing Units

GPU performance prediction using parametrized models

CUDA Application Design and Development

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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