high performance computing on graphics processing units: hgpu.org

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GPU Collision Detection in Conformal Geometric Space

Eduardo Roa, Victor Theoktisto, Marta Fairen, Isabel Navazo

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT, Optimization

December 15, 2011 by hgpu

Performance in GPU Architectures: Potentials and Distances

Ahmad Lashgar, Amirali Baniasadi

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance

December 15, 2011 by hgpu

Minimising Testing in Genetic Programming

W. B. Langdon

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Software Engineering

December 15, 2011 by hgpu

Free surface flow simulations on GPGPUs using the LBM

Christian Janssen, Manfred Krafczy

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 275, Tesla C1060

December 15, 2011 by hgpu

Speed sign detection and recognition by convolutional neural networks

Maurice Peemen, Bart Mesman, Henk Corporaal

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 460

December 15, 2011 by hgpu

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Scott A. Sarra, Clyde Meador

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Tags: Chaotic Dynamics, CUDA, Extended precision, nVidia, nVidia GeForce GTX 280, ODEs, Ordinary differential equations, Package, Physics

December 15, 2011 by hgpu

Graph Generation on GPUs using Dynamic Memory Allocation

A. Leist, K.A. Hawick

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Graph theory, Memory model, nVidia, nVidia GeForce GTX 580, Performance

December 14, 2011 by hgpu

A Novel Multi-GPU Neural Simulator

C. M. Thibeault, R. Hoang, F. C. Harris Jr.

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Tags: Biology, Biophysics, CUDA, Neuroscience, nVidia, nVidia GeForce GTX 480

December 14, 2011 by hgpu

Fast thermal simulation of 2D/3D integrated circuits exploiting neural networks and GPUs

Alessandro Vincenzi, Arvind Sridhar, Martino Ruggiero, David Atienza

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480

December 14, 2011 by hgpu

Power consumption of mixed precision in the iterative solution of sparse linear systems

Hartwig Anzt, Vincent Heuveline, Bjorn Rocker, Maribel Castillo, Juan C. Fernandez, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, Mixed precision, nVidia, Tesla C1060

December 14, 2011 by hgpu

Rethinking Runtime Verification on Hundreds of Cores: Challenges and Opportunities

Tayfun Elmas, Semih Okur, Serdar Tasiran

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Performance

December 14, 2011 by hgpu

Fast Neural Network Training on General Purpose Computers

Harshit Kharbanda, Roy H. Campbell

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Tags: Benchmarking, Computer science, CUDA, Neural networks, nVidia, nVidia Quadro FX 1800

December 14, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Collision Detection in Conformal Geometric Space

Performance in GPU Architectures: Potentials and Distances

Minimising Testing in Genetic Programming

Free surface flow simulations on GPGPUs using the LBM

Speed sign detection and recognition by convolutional neural networks

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Graph Generation on GPUs using Dynamic Memory Allocation

A Novel Multi-GPU Neural Simulator

Fast thermal simulation of 2D/3D integrated circuits exploiting neural networks and GPUs

Power consumption of mixed precision in the iterative solution of sparse linear systems

Rethinking Runtime Verification on Hundreds of Cores: Challenges and Opportunities

Fast Neural Network Training on General Purpose Computers

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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