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Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU cluster

Farouk Mansouri, Sylvain Huet, Vincent Fristot, Dominique Houzet

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Tags: Computer science, CUDA, DSP, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia Quadro 4000, Signal processing

February 2, 2014 by hgpu

Optimized Deep Learning Architectures with Fast Matrix Operation Kernels on Parallel Platform

Ying Zhang, Saizheng Zhang

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Tags: Computer science, CUBLAS, CUDA, Machine learning, Neural networks, nVidia

February 2, 2014 by hgpu

High energy electromagnetic particle transportation on the GPU

P. Canal, D. Elvira, S. Y. Jun, J. Kowalkowski, M. Paterno, J. Apostolakis

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla K20, Tesla M2090

February 2, 2014 by hgpu

A TBB-CUDA Implementation for Background Removal in a video-based Fire Detection System

Fan Wang, Xiao Jiang, Xiopeng Hu

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 210

February 1, 2014 by hgpu

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Fabian Gieseke, Justin Heinermann, Cosmin Oancea, Christian Igel

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Tags: Computer science, KD-tree, Nearest neighbour, nVidia, nVidia GeForce GTX 770, OpenCL

February 1, 2014 by hgpu

Speeding Up Object Detection: Fast Resizing in the Integral Image Domain

Michael Gschwandtner, Andreas Uhl, Andreas Unterweger

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8500 GT

February 1, 2014 by hgpu

High Performance Computing of Dynamic Structural Response Analysis for the Integrated Earthquake Simulation

P. Latcharote, Y. Kai

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, Tesla M2050

February 1, 2014 by hgpu

Survey on Efficient Linear Solvers for Porous Media Flow Models on Recent Hardware Architectures

Ani Anciaux-Sedrakian, Peter Gottschling, Jean-Marc Gratien, Thomas Guignon

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Review, Tesla M2070, Tesla M2090

February 1, 2014 by hgpu

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Xavier Lacoste, Mathieu Faverge, Pierre Ramet, Samuel Thibault, George Bosilca

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, nVidia, Sparse direct solvers, Tesla M2070

January 30, 2014 by hgpu

Towards Efficient Risk Quantification-Using GPUs and Variance Reduction Technique

Shih Hau Tan

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Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 680, Thesis

January 30, 2014 by hgpu

A Novel Graphical Processing Unit Method for Power Systems Security Analysis

Laurie Elizabeth Miller

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Security, Sparse matrix, Thesis

January 30, 2014 by hgpu

Comparing the Performance of Different x86 SIMD Instruction Sets for a Medical Imaging Application on Modern Multi- and Manycore Chips

Johannes Hofmann, Jan Treibig, Georg Hager, Gerhard Wellein

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Tags: Algorithms, Computed tomography, Computer science, CT, CUDA, Image reconstruction, Intel Xeon Phi, Medicine, nVidia, nVidia GeForce GTX 680, Performance

January 30, 2014 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

Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU cluster

Optimized Deep Learning Architectures with Fast Matrix Operation Kernels on Parallel Platform

High energy electromagnetic particle transportation on the GPU

A TBB-CUDA Implementation for Background Removal in a video-based Fire Detection System

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Speeding Up Object Detection: Fast Resizing in the Integral Image Domain

High Performance Computing of Dynamic Structural Response Analysis for the Integrated Earthquake Simulation

Survey on Efficient Linear Solvers for Porous Media Flow Models on Recent Hardware Architectures

Taking advantage of hybrid systems for sparse direct solvers via task-based runtimes

Towards Efficient Risk Quantification-Using GPUs and Variance Reduction Technique

A Novel Graphical Processing Unit Method for Power Systems Security Analysis

Comparing the Performance of Different x86 SIMD Instruction Sets for a Medical Imaging Application on Modern Multi- and Manycore Chips

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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