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Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling

Hongyang Sun, Redouane Elghazi, Ana Gainaru, Guillaume Aupy, Padma Raghavan

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Tags: Computer science, Intel Xeon Phi, Performance, Task scheduling

January 20, 2018 by hgpu

Intra-node Memory Safe GPU Co-Scheduling

Carlos Reano, Federico Silla, Dimitrios S. Nikolopoulos, Blesson Varghese

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Tags: Computer science, CUDA, nVidia, Package, Task scheduling, Tesla K20

December 15, 2017 by hgpu

Task Scheduling for Heterogeneous Multicore Systems

Zhuo Chen, Diana Marculescu

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 760 Ti, OpenCL, Task scheduling

December 15, 2017 by hgpu

Asynchronous Task-Based Polar Decomposition on Single Node Manycore Architectures

Dalal Sukkari, Hatem Ltaief, Mathieu Faverge, David Keyes

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Tags: Algorithms, Benchmarking, Computer science, Factorization, Intel Xeon Phi, nVidia, StarPU, Task scheduling, Tesla K80, Tesla P100

September 21, 2017 by hgpu

Multi-Tasking Scheduling for Heterogeneous Systems

Yuan Wen

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 780, OpenCL, Task scheduling, Thesis

September 7, 2017 by hgpu

Directive-Based Partitioning and Pipelining for Graphical Processing Units

X. Cui, T. R. W. Scogland, B. R. de Supinski, W. Feng

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Task scheduling, Tesla K40

August 1, 2017 by hgpu

Efficient OpenCL-based concurrent tasks offloading on accelerators

A.J. Lazaro-Munoz, J.M. Gonzalez-Linares, J. Gomez-Luna, N. Guil

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Tags: AMD Radeon R9, ATI, Benchmarking, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Task scheduling, Tesla K20

June 17, 2017 by hgpu

Inferring the Scheduling Policies of an Embedded CUDA GPU

Nathan Otterness, Ming Yang, Tanya Amert, James H. Anderson, F. Donelson Smith

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Tegra TX1, Package, Task scheduling

May 22, 2017 by hgpu

Energy conservation techniques for GPU computing

Xinxin Mei

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 780, nVidia GeForce GTX 980, Task scheduling, Thesis

March 28, 2017 by hgpu

Spark-GPU: An Accelerated In-Memory Data Processing Engine on Clusters

Yuan Yuan, Meisam Fathi Salmi, Yin Huai, Kaibo Wang, Rubao Lee, Xiaodong Zhang

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 770, Spark, Task scheduling

February 5, 2017 by hgpu

A task-driven implementation of a simple numerical solver for hyperbolic conservation laws

Mohamed Essadki, Jonathan Jung, Adam Larat, Milan Pelletier, Vincent Perrier

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Tags: Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Task scheduling, Tesla K40

January 23, 2017 by hgpu

System Design Principles for Heterogeneous Resource Management and Scheduling in Accelerator-Based Systems

Dipanjan Sengupta

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Tags: Algorithms, Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro 2000, nVidia Quadro 4000, Task scheduling, Tesla C2050, Tesla C2070, Tesla K20, Thesis

September 10, 2016 by hgpu

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clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization

NengoDL: Combining deep learning and neuromorphic modelling methods

Marian: Cost-effective High-Quality Neural Machine Translation in C++

HXTSort: a single header library including lightning fast Parallel Radix Sort macros

One machine, one minute, three billion tetrahedra

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high performance computing on graphics processing units: hgpu.org

Scheduling Parallel Tasks under Multiple Resources: List Scheduling vs. Pack Scheduling

Intra-node Memory Safe GPU Co-Scheduling

Task Scheduling for Heterogeneous Multicore Systems

Asynchronous Task-Based Polar Decomposition on Single Node Manycore Architectures

Multi-Tasking Scheduling for Heterogeneous Systems

Directive-Based Partitioning and Pipelining for Graphical Processing Units

Efficient OpenCL-based concurrent tasks offloading on accelerators

Inferring the Scheduling Policies of an Embedded CUDA GPU

Energy conservation techniques for GPU computing

Spark-GPU: An Accelerated In-Memory Data Processing Engine on Clusters

A task-driven implementation of a simple numerical solver for hyperbolic conservation laws

Recent source codes

OpenQCD-AVX512: An AVX512 extention to the OpenQCD lattice simulation code

MemeProject

DeepMind Lab

NCRF++: open-source Neural Sequence Labeling Toolkit

indigo: High-Performance Structured Linear Operators

clava: C/C++ Source-to-Source Tool based on Clang

clMF: A fine-grained and portable alternating least squares algorithm for parallel matrix factorization

NengoDL: Combining deep learning and neuromorphic modelling methods

Marian: Cost-effective High-Quality Neural Machine Translation in C++

HXTSort: a single header library including lightning fast Parallel Radix Sort macros

Most viewed papers (last 30 days)

Featured events

The 3rd International Conference on Computer Systems and Communication Technology (ICCSCT), 2018

The 4th International Conference on Communication and Information Processing (ICCIP), 2018

The Third International Workshop on GPU Computing and AI (GCA), 2018

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

The 10th International Conference on Information Management and Engineering (ICIME), 2018