Výsledky vyhledávání - Many Task Computing

Accelerating many-core, heterogeneous, and distributed architectures with hardware runtimes and programming models

Autoři: De Haro Ruiz, Juan Miguel

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Álvarez Martínez, Carlos, Jiménez González, Daniel

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: High Performance Computing (HPC), Field-Programmable Gate Array (PFGA), task scheduling, task-based programming models, computer architecture, CPU, MPI, High-Level Synthesis (HLS), energy efficiency, programmability, many-core architectures, FPGA clusters, hardware runtimes, hardware acceleration, ASIC, Implicit Message Passing (IMP), Àrees temàtiques de la UPC::Informàtica, 004 - Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/695347
https://dx.doi.org/10.5821/dissertation-2117-442722

Research on Automatic Optimization Technology of Container Intra-parallelism for Many-Task Computing in the Cloud

Autoři: Hyeock-Jin Lee Jik-Soo Kim

Zdroj: KIISE Transactions on Computing Practices. 30:549-554

A Hybrid Scheduler for Many Task Computing in Big Data Systems

Autoři: Vasiliu, Laura Pop, Florin Negru, Catalin a další

Zdroj: International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 2, Pp 385-399 (2017)
International Journal of Applied Mathematics and Computer Science

Témata: scheduling heuristics, Electronic computers. Computer science, big data systems, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, qos, QA75.5-76.95, 02 engineering and technology, simulation, many task computing, Mathematics

Přístupová URL adresa: https://www.sciendo.com/pdf/10.1515/amcs-2017-0027
https://doaj.org/article/2133493f5bf747ba9e76fec8e94d529f
https://sciendo.com/article/10.1515/amcs-2017-0027
https://content.sciendo.com/view/journals/amcs/27/2/article-p385.xml
https://doi.org/10.1515/amcs-2017-0027
https://suw.biblos.pk.edu.pl/resourceDetailsBPP&rId=82856
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-c2a5ded3-9403-47fb-ae05-b8a46b14bd2e
https://core.ac.uk/display/88347930

MANY-TASK COMPUTING ON MANY-CORE ARCHITECTURES

Autoři: Valero-Lara, Pedro Nookala, Poornima Pelayo, Fernando L. a další

Zdroj: Scalable computing. 17(1):33-46

Témata: Parallel Computing, Multi-Task Computing, Many-Core, GPU, Intel Xeon Phi, CUDA, OpenMP

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185655

A lightweight CaaS private cloud architecture and models for many task computing

Autoři: Pengfei Liu Yiyi Xu Jun Zhao

Zdroj: 2019 14th International Conference on Computer Science & Education (ICCSE). :92-96

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/iccse2/iccse2019.html#XuLZ19
https://eprints.ncl.ac.uk/260047

Optimization techniques for distributed task-based programming models

Autoři: Ali, Omar Shaaban Ibrahim

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Carpenter, Paul Matthew, Martorell Bofill, Xavier

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: HPC, Runtime Systems, OpenMP, OmpSs-2, Distributed computing, Task Parallelism, Àrees temàtiques de la UPC::Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/692709
https://dx.doi.org/10.5821/dissertation-2117-420575

A Study on the Application Execution Optimization of Many-Task Computing on Hadoop

Autoři: Jik-Soo Kim Jin-young Choi Dae-Cheol Kang

Zdroj: KIISE Transactions on Computing Practices. 25:585-593

Přístupová URL adresa: http://kiise.or.kr/e_journal/2019/12/KTCP/pdf/02.pdf

On the role of message broker middleware for many-task computing on a big-data platform

Autoři: Cao Ngoc Nguyen Jaehwan Lee Soonwook Hwang a další

Zdroj: Cluster Computing. 22:2527-2540

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/cluster/cluster22.html#NguyenLHK19
https://link.springer.com/article/10.1007/s10586-018-2634-9

Parameter Exploration in Science and Engineering Using Many-Task Computing

Autoři: Abramson, David Bethwaite, Blair Enticott, Colin a další

Zdroj: IEEE Transactions on Parallel and Distributed Systems. 22:960-973

Témata: Scientific workflows, 1708 Hardware and Architecture, Parameter exploration, 0202 electrical engineering, electronic engineering, information engineering, 1711 Signal Processing, Kepler, 02 engineering and technology, 14. Life underwater, Heterogeneity, 7. Clean energy, Many task computing, 1703 Computational Theory and Mathematics

Přístupová URL adresa: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.466.8436
https://ieeexplore.ieee.org/document/5611495
http://ieeexplore.ieee.org/document/5611495/
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005611495
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005611495
https://dblp.uni-trier.de/db/journals/tpds/tpds22.html#AbramsonBEGP11
https://www.computer.org/csdl/trans/td/2011/06/ttd2011060960.pdf

Enabling Docker Containers for High-Performance and Many-Task Computing

Autoři: Azab, Abdulrahman

Zdroj: 2017 IEEE International Conference on Cloud Engineering (IC2E)

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7923813/
http://dblp.uni-trier.de/db/conf/ic2e/ic2e2017.html#Azab17
https://www.computer.org/csdl/proceedings-article/ic2e/2017/07923813/12OmNz5apB0

A fast and low idle time method for mining frequent patterns in distributed and many-task computing environments

Autoři: Chun-Cheng Lin Sheng-Hao Chung Ju-Chin Chen a další

Zdroj: Distributed and Parallel Databases. 36:613-641

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://scholar.nycu.edu.tw/en/publications/a-fast-and-low-idle-time-method-for-mining-frequent-patterns-in-d
https://dblp.uni-trier.de/db/journals/dpd/dpd36.html#LinCCYL18
https://ir.nctu.edu.tw:443/handle/11536/148170
https://link.springer.com/article/10.1007/s10619-018-7221-9

A Case Study of Leveraging High-Throughput Distributed Message Queue System for Many-Task Computing on Hadoop

Autoři: Jik-Soo Kim Jaehwan Lee Cao Nguyen a další

Zdroj: 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W). :257-262

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/8064132/
https://dblp.uni-trier.de/db/conf/saso/fasw2017.html#NguyenKLH17

Message queue protocol for sequential execution of related task routines in many task computing

Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model

Autoři: Lajiao Chen Weijing Song Yan Ma a další

Zdroj: The Journal of Supercomputing. 75:510-532

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dl.acm.org/doi/10.1007/s11227-017-2047-1
https://doi.org/10.1007/s11227-017-2047-1
https://dblp.uni-trier.de/db/journals/tjs/tjs75.html#YueMCWS19
https://link.springer.com/article/10.1007/s11227-017-2047-1

Automated job flow cancellation for multiple task routine instance errors in many task computing

Data object preparation for execution of multiple task routine instances in many task computing

Automated job flow generation to provide object views in container-supported many task computing

AUTOMATED VIRTUAL MACHINE RESOURCE MANAGEMENT IN CONTAINER-SUPPORTED MANY TASK COMPUTING

MOHA: Many-task computing meets the big data platform

Autoři: Soonwook Hwang Cao Nguyen Jik-Soo Kim

Zdroj: 2016 IEEE 12th International Conference on e-Science (e-Science). :193-202

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/eScience/eScience2016.html#KimNH16

Automated Job Flow Generation to Provide Object Views in Container-Supported Many Task Computing