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Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Dynamic load balancing on heterogeneous multicore/multiGPU systems

Alejandro Acosta, Robert Corujo, Vicente Blanco, Francisco Almeida

Tags: Computer science, GPU cluster, Heterogeneous systems, Performance, Task scheduling

June 8, 2011 by hgpu

Task Partition Comparison between Multi-core System and GPU

Weimin Zheng, Bo Wang, Yongwei Wu

Tags: Algorithms, Computer science, Grid, Task scheduling

May 20, 2011 by hgpu

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

Koichi Shirahata, Hitoshi Sato, Satoshi Matsuoka

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Presentation, Task scheduling, Tesla S1070

April 16, 2011 by hgpu

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Dominik Grewe, Michael O'Boyle

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Tags: ATI, ATI Radeon HD 5970, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Package, Task scheduling

April 4, 2011 by hgpu

A Dynamic Resource Management and Scheduling Environment for Embedded Multimedia and Communications Platforms

A. Bahga, V. K. Madisetti

Tags: Computer science, Heterogeneous systems, OpenCL, Task scheduling

April 1, 2011 by hgpu

A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

Tao Tang, Xinhai Xu, Yisong Lin

Tags: ATI, Computer science, Heterogeneous systems, Task scheduling

March 25, 2011 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment

Lei Wang, Yong-Zhong Huang, Xin Chen, Chun-Yan Zhang

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 7600 GT, Task scheduling

March 17, 2011 by hgpu

Task management for irregular-parallel workloads on the GPU

Stanley Tzeng, Anjul Patney, John D. Owens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Performance, Presentation, Task scheduling

March 6, 2011 by hgpu

Dynamic load balancing on single- and multi-GPU systems

Long Chen, Oreste Villa, Sriram Krishnamoorthy, Guang R. Gao

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Task scheduling, Tesla C1060

March 6, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Dynamic load balancing on heterogeneous multicore/multiGPU systems

Task Partition Comparison between Multi-core System and GPU

Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

A Dynamic Resource Management and Scheduling Environment for Embedded Multimedia and Communications Platforms

A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

Modeling GPU-CPU Workloads and Systems

Aspects of GPU for general purpose high performance computing

Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment

Task management for irregular-parallel workloads on the GPU

Dynamic load balancing on single- and multi-GPU systems

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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