high performance computing on graphics processing units: hgpu.org

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GPU-based Dynamic Tubular Grids for Sparse Volume Rendering

David Mayerich, John Keyser

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Tags: Algorithms, Computer science, Image processing, Rendering

March 20, 2011 by hgpu

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Tamas K. Lengyel, James Gedarovich, Antonio Cusano, Thomas J. Peters

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT

March 20, 2011 by hgpu

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

David Barrie Thomas, Lee Howes, Wayne Luk

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Pseudo-random number generators

March 20, 2011 by hgpu

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Xiang Tian, Khaled Benkrid

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Pseudo-random number generators

March 20, 2011 by hgpu

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

A El Zein, E McCreath, Alistair Rendell, Alex Smola

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce 8800 GTX, Presentation, Sparse matrix

March 20, 2011 by hgpu

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Mark Van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse

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Tags: Computer science, CUDA, CULA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 295, Tesla C1060

March 20, 2011 by hgpu

Joint Forces: From Multithreaded Programming to GPU Computing

Frank Feinbube, Peter Troger, Andreas Polze

Tags: Computer science, Optimization, Performance

March 20, 2011 by hgpu

Mean Shift Parallel Tracking on GPU

Peihua Li, Lijuan Xiao

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Video tracking

March 19, 2011 by hgpu

Method for simulation of coastal terrain on GPU

Jun Chen, Peng Sheng, Zhen He

Tags: 3D Graphics and Realism, Computer science, Rendering

March 19, 2011 by hgpu

Exploring utilisation of GPU for database applications

Slawomir Walkowiak, Konrad Wawruch, Marita Nowotka, Lukasz Ligowski, Witold Rudnicki

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Tags: Computer science, CUDA, Databases, nVidia, Tesla S1070

March 19, 2011 by hgpu

Efficient and Quality Contouring Algorithms on the GPU

L. Schmitz, L. F. Scheidegger, D. K. Osmari, C. A. Dietrich, J. L. D. Comba

Tags: Algorithms, Computer science, Image generation

March 19, 2011 by hgpu

Implementing a GPU Programming Model on a non-GPU Accelerator Architecture

Stephen M. Kofsky, Daniel R. Johnson, John A. Stratton, Wen-Mei W. Hwu, Sanjay J. Patel, Steven S. Lumetta

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Tags: Computer science, CUDA, nVidia, Optimization, Programming techniques, Tesla T10

March 19, 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-based Dynamic Tubular Grids for Sparse Volume Rendering

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

A comparison of CPUs, GPUs, FPGAs, and massively parallel processor arrays for random number generation

Mersenne Twister Random Number Generation on FPGA, CPU and GPU

Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Joint Forces: From Multithreaded Programming to GPU Computing

Mean Shift Parallel Tracking on GPU

Method for simulation of coastal terrain on GPU

Exploring utilisation of GPU for database applications

Efficient and Quality Contouring Algorithms on the GPU

Implementing a GPU Programming Model on a non-GPU Accelerator Architecture

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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