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Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

Tetsuya Odajima, Taisuke Boku, Mitsuhisa Sato, Toshihiro Hanawa, Yuetsu Kodama, Raymond Namyst, Samuel Thibault, Olivier Aumage

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Package, Performance, Task scheduling, Tesla M2090

December 25, 2013 by hgpu

A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction

Martin R. Oswald, Daniel Cremers

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

December 25, 2013 by hgpu

Graphics Processing Units in Acceleration of Bandwidth Selection for Kernel Density Estimation

Witold Andrzejewski, Artur Gramacki, Jaroslaw Gramacki

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 480, Package, Probability, Statistics

December 24, 2013 by hgpu

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

S. Axyonov, D. Kovalenko, I. Potapyev

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Tags: Algorithms, ATI, ATI Radeon HD 5850 M, Computer vision, Image processing, OpenCL

December 24, 2013 by hgpu

Transparent Checkpoint-Restart for Hardware-Accelerated 3D Graphics

Samaneh Kazemi, Rohan Garg, Gene Cooperman

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Tags: Computer science, nVidia, nVidia GeForce GT 650 M, OpenGL, Operating systems

December 24, 2013 by hgpu

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

Thomas Paine, Hailin Jin, Jianchao Yang, Zhe Lin, Thomas Huang

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Tags: Computer science, Computer vision, CUDA, Data parallelism, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla K20

December 24, 2013 by hgpu

Large-Scale Paralleled Sparse Principal Component Analysis

W. Liu, H. Zhang, D. Tao, Y. Wang, K. Lu

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Tags: Computer science, CUBLAS, CUDA, Machine learning, Numerical Analysis, nVidia, Tesla C2050

December 24, 2013 by hgpu

GPU Acceleration of Melody Accurate Matching in Query-by-Humming

Liming Xiao, Yao Zheng, Wenqi Tang, Guangchao Yao, Li Ruan

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480

December 23, 2013 by hgpu

Enabling High Performance Computing in Cloud Infrastructure using Virtualized GPUs

Andrew J. Younge, John Paul Walters, Steve Crago, Geoffrey C. Fox

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Tags: Cloud, Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Virtualization

December 23, 2013 by hgpu

Hardware Acceleration Technologies in Computer Algebra: Challenges and Impact

Sardar Anisul Haque

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Sorting, Sparse matrix, Tesla C2050, Tesla M2050, Thesis

December 23, 2013 by hgpu

Single Server Multi-GPU Training of ConvNets

Omry Yadan, Keith Adams, Yaniv Taigman, Marc'Aurelio Ranzato

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Tags: Computer science, Computer vision, Machine learning, Neural networks

December 23, 2013 by hgpu

Fast Training of Convolutional Networks through FFTs

Michael Mathieu, Mikael Henaff, Yann LeCun

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Tags: Algorithms, Computer science, Computer vision, CUDA, FFT, Machine learning, nVidia

December 23, 2013 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

Adaptive Task Size Control on High Level Programming for GPU/CPU Work Sharing

A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction

Graphics Processing Units in Acceleration of Bandwidth Selection for Kernel Density Estimation

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

Transparent Checkpoint-Restart for Hardware-Accelerated 3D Graphics

GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

Large-Scale Paralleled Sparse Principal Component Analysis

GPU Acceleration of Melody Accurate Matching in Query-by-Humming

Hardware Acceleration Technologies in Computer Algebra: Challenges and Impact

Single Server Multi-GPU Training of ConvNets

Fast Training of Convolutional Networks through FFTs

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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