high performance computing on graphics processing units: hgpu.org

hgpu.org » Task scheduling

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

LU, QR, and Cholesky factorizations: Programming Model, Performance Analysis and Optimization Techniques for the Intel Knights Landing Xeon Phi

Azzam Haidar, Stanimire Tomov, Konstantin Arturov, Murat Guney, Shane Story, Jack Dongarra

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Tags: Algorithms, Computer science, Factorization, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, Performance, Task scheduling

July 13, 2016 by hgpu

A Graph-based Model for GPU Caching Problems

Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 680, Task scheduling

May 9, 2016 by hgpu

Portable and Transparent Software Managed Scheduling on Accelerators for Fair Resource Sharing

Christos Margiolas, Michael F.P. O'Boyle

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Tags: AMD Radeon R9 295X2, ATI, Computer science, nVidia, OpenCL, Performance, Task scheduling, Tesla K20

April 12, 2016 by hgpu

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LM-LSTM-CRF: Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model

Empower Sequence Labeling with Task-Aware Neural Language Model

End-to-end Deep Learning of Optimization Heuristics

Harp-DAAL: A collective communication library plugined into Hadoop from Indiana University

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

eccCL: Parallelized GPU implementation of Ensemble Classifier Chains

eccCL: parallelized GPU implementation of Ensemble Classifier Chains

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Gpufit: An open-source toolkit for GPU-accelerated curve fitting

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high performance computing on graphics processing units: hgpu.org

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

LU, QR, and Cholesky factorizations: Programming Model, Performance Analysis and Optimization Techniques for the Intel Knights Landing Xeon Phi

A Graph-based Model for GPU Caching Problems

Portable and Transparent Software Managed Scheduling on Accelerators for Fair Resource Sharing

Recent source codes

TuneBench: Simple tunable OpenCL kernels for many-core accelerators

ZZGemmOoc: GPU GEMM out-of-core solvers

styletransfer: Real-time neural style transfer via meta networks

LM-LSTM-CRF: Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model

End-to-end Deep Learning of Optimization Heuristics

Harp-DAAL: A collective communication library plugined into Hadoop from Indiana University

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

eccCL: Parallelized GPU implementation of Ensemble Classifier Chains

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Most viewed papers (last 30 days)

Featured events

The 2nd International Conference on Machine Learning and Soft Computing (ICMLSC), 2018

10th International Conference on Computer and Automation Engineering (ICCAE), 2018

The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA), 2018

The 2nd International Conference on Cryptography, Security and Privacy (ICCSP), 2018

The 3rd International Conference on Multimedia and Image Processing (ICMIP), 2018