Optimization of Checkpointing and Execution Model for an Implementation of Openmp on Distributed Memory Architectures Van Long Tran
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
Time-Stamp Incremental Checkpointing and Its Application for an Optimization of Execution Model to Improve Performance of CAPE
https://doi.org/10.31449/inf.v42i3.2244 Informatica 42 (2018) 301–311 301 Time-stamp Incremental Checkpointing and its Application for an Optimization of Execution Model to Improve Performance of CAPE Van Long Tran Samovar, Télécom SudParis, CNRS, Université Paris-Saclay - 9 rue Charles Fourier, Évry, France E-mail: [email protected] and www.telecom-sudparis.eu Hue Industrial College - 70 Nguyen Hue street, Hue city, Vietnam E-mail: [email protected] and www.hueic.edu.vn Éric Renault Samovar, Télécom SudParis, CNRS, Université Paris-Saclay - 9 rue Charles Fourier, Évry, France E-mail: [email protected] and www.telecom-sudparis.eu Viet Hai Ha College of Education, Hue University - 34 Le Loi street, Hue city, Vietnam E-mail: [email protected] and www.dhsphue.edu.vn Xuan Huyen Do College of Sciences, Hue University - 77 Nguyen Hue street, Hue city, Vietnam E-mail: [email protected] and www.husc.edu.vn Keywords: OpenMP, OpenMP on cluster, CAPE, Checkpointing-Aided Parallel Execution, Checkpointing, Incremental checkpointing, DICKPT, TICKPT Received: March 29, 2018 CAPE, which stands for Checkpointing-Aided Parallel Execution, is a checkpoint-based approach to au- tomatically translate and execute OpenMP programs on distributed-memory architectures. This approach demonstrates high-performance and complete compatibility with OpenMP on distributed-memory systems. In CAPE, checkpointing is one of the main factors acted on the performance of the system. This is shown over two versions of CAPE. The first version based on complete checkpoints is too slow as compared to the second version based on Discontinuous Incremental Checkpointing. -
Optimization of Memory Management on Distributed Machine Viet Hai Ha
Optimization of memory management on distributed machine Viet Hai Ha To cite this version: Viet Hai Ha. Optimization of memory management on distributed machine. Other [cs.OH]. Institut National des Télécommunications, 2012. English. NNT : 2012TELE0042. tel-00814630 HAL Id: tel-00814630 https://tel.archives-ouvertes.fr/tel-00814630 Submitted on 17 Apr 2013 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. ABCDBEFAD EBDDDFADD ABCDEF EEEFAABCDEFCAADDABCDDA FCF EFECFF !" #$!"B ! "!#$!%" EC%&EF'%(' C*F+EEA ADDCDD A F !"DDDD#$% AC!AD&F'F(CA ))DC !*ADD+, F DDCADAD AD. !*(/AD !F DDCADA0, 1ADC !*2D3 C !,FF DDCDAADDD!AD4CAD !*4A)D4 DDCDAA.5 !D*(D+,!(( !"DDDD#$%4! 2012TELE0042 ABCD ABACDEAFFEBBADDEABFAEABFBFDAEFE EEABEFACAABAFAFFFFBAEABBA ADEFBFAEAABEBAADAEE EBABAFDB !"EABAFBABAEA#AEF $%&EBAEADFEFBEBADEAEAF AADA#BABBA!ABAFAAEABEBAFEFDBFB#E FB$%&EBAFDDEBBAEBF ABBEAFB$%&EBAEFDDEBBAFEA'F ACDAEABF (AADBBAFBBAEAABFDDEBA DEABFFFBAEF#EBAEFABEA ABABFBAFFBBAA#AEF ABCDEEFABCABBBFADFEFD DFEFBDDBAFFBFBDDBF DABBBBDAFEBBDEA ACA DEBDAAFB ABBB!CDCFBBEDCEFEDB " BB C E -
Architectural Review of Load Balancing Single System Image
Journal of Computer Science 4 (9): 752-761, 2008 ISSN 1549-3636 © 2008 Science Publications Architectural Review of Load Balancing Single System Image Bestoun S. Ahmed, Khairulmizam Samsudin and Abdul Rahman Ramli Department of Computer and Communication Systems Engineering, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia Abstract: Problem statement: With the growing popularity of clustering application combined with apparent usability, the single system image is in the limelight and actively studied as an alternative solution for computational intensive applications as well as the platform for next evolutionary grid computing era. Approach: Existing researches in this field concentrated on various features of Single System Images like file system and memory management. However, an important design consideration for this environment is load allocation and balancing that is usually handled by an automatic process migration daemon. Literature shows that the design concepts and factors that affect the load balancing feature in an SSI system are not clear. Result: This study will review some of the most popular architecture and algorithms used in load balancing single system image. Various implementations from the past to present will be presented while focusing on the factors that affect the performance of such system. Conclusion: The study showed that although there are some successful open source systems, the wide range of implemented systems investigated that research activity should concentrate on the systems that have already been proposed and proved effectiveness to achieve a high quality load balancing system. Key words: Single system image, NOWs (network of workstations), load balancing algorithm, distributed systems, openMosix, MOSIX INTRODUCTION resources transparently irrespective of where they are available[1].The load balancing single system image Cluster of computers has become an efficient clusters dominate research work in this environment. -
Downloaded on 2018-08-23T19:11:32Z Single System Image: a Survey
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Cork Open Research Archive Title Single system image: A survey Author(s) Healy, Philip D.; Lynn, Theo; Barrett, Enda; Morrisson, John P. Publication date 2016-02-17 Original citation Healy, P., Lynn, T., Barrett, E. and Morrison, J. P. (2016) 'Single system image: A survey', Journal of Parallel and Distributed Computing, 90- 91(Supplement C), pp. 35-51. doi:10.1016/j.jpdc.2016.01.004 Type of publication Article (peer-reviewed) Link to publisher's http://dx.doi.org/10.1016/j.jpdc.2016.01.004 version Access to the full text of the published version may require a subscription. Rights © 2016 Elsevier Inc. This is the preprint version of an article published in its final form in Journal of Parallel and Distributed Computing, available https://doi.org/10.1016/j.jpdc.2016.01.004. This manuscript version is made available under the CC BY-NC-ND 4.0 licence https://creativecommons.org/licenses/by-nc-nd/4.0/ Item downloaded http://hdl.handle.net/10468/4932 from Downloaded on 2018-08-23T19:11:32Z Single System Image: A Survey Philip Healya,b,∗, Theo Lynna,c, Enda Barretta,d, John P. Morrisona,b aIrish Centre for Cloud Computing and Commerce, Dublin City University, Ireland bComputer Science Dept., University College Cork, Ireland cDCU Business School, Dublin City University, Ireland dSoftware Research Institute, Athlone Institute of Technology, Ireland Abstract Single system image is a computing paradigm where a number of distributed computing resources are aggregated and presented via an interface that maintains the illusion of interaction with a single system. -
05081.Gustedtjens.Paper.297.Pdf (0.3
Data Handover: Reconciling Message Passing and Shared Memory Jens Gustedt LORIA & INRIA Lorraine Abstract. Data Handover (DHO) is a programming paradigm and interface that aims to handle data between parallel or distributed processes that mixes aspects of message passing and shared memory. It is designed to overcome the potential problems in terms of efficiency of both: (1) memory blowup and forced copies for message passing and (2) data consistency and latency problems for shared memory. Our approach attempts to be simple and easy to understand. It contents itself with just a handful of functions to cover the main aspects of coarse grained inter-operation upon data. Keywords: efficient data management, message passing, shared memory 1 Introduction and Overview A lot of sophisticated models, systems and programming languages and libraries are nowadays available for parallel and distributed computing. But nonetheless of that multitude of choices, the majority application designers and programmers choose among quite a few interfaces when it comes to implement production systems. These interfaces fall into two major classes, those coming from the world of parallelism (e.g shared segments, different sorts of threads or OpenMP) or the world of distributed computing (e.g PVM, MPI, RPC, RMI or Corba). Although most of them are also available in the other context (e.g MPI on mainframes or threads on distributed shared memory systems) in general the performance of these tools suffer when they are applied in framework for which they have not been designed originally. This reduced performance is not a matter of “lack of good implementations” but is due to conceptual difficulties: (1) Message passing applied on shared memory architectures introduces a substantial memory blowup (compared to a direct implementation) and forces unnecessary copies of data buffers. -
Analysis and Evaluation of the Performance of CAPE Van Long Tran, Eric Renault, Viet Hai Ha
Analysis and evaluation of the performance of CAPE van Long Tran, Eric Renault, Viet Hai Ha To cite this version: van Long Tran, Eric Renault, Viet Hai Ha. Analysis and evaluation of the performance of CAPE. SCALCOM 2016 : International Conference on Scalable Computing and Communica- tions, IEEE, Jul 2016, Toulouse, France. pp.620-627, 10.1109/UIC-ATC-ScalCom-CBDCom-IoP- SmartWorld.2016.0104. hal-01496859 HAL Id: hal-01496859 https://hal.archives-ouvertes.fr/hal-01496859 Submitted on 30 Mar 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Analysis and evaluation of the performance of CAPE Van Long Tran and Eric Renault Viet Hai Ha SAMOVA, Telecom SudParis, College of Education CNRS, Universite Paris-Saclay Hue University 9 rue Charles Fourier - 91011 Evry Cedex, France Hue, Vietnam Email: van [email protected] Email: [email protected] and [email protected] Abstract—MPI (Message Passing Interface) and OpenMP are is accessed through the network, the synchronization between two tools broadly used to develop parallel programs. On the one the memories involves an important delay access time which hand, MPI has the advantage of high performance while being makes this approach hardly scalable. -
Parallel Computing Hardware and Software Architectures for High Performance Computing
Proceedings of Student-Faculty Research Day, CSIS, Pace University, May 1st, 2015 Parallel Computing Hardware and Software Architectures for High Performance Computing Leigh Anne Clevenger, Hugh Eng, Kevin Khan, Javid Maghsoudi, and Mantie Reid Seidenberg School of CSIS, Pace University, White Plains, New York Parallel computing can be found in the science and engineer- Abstract — Parallel computing is critical in many areas of com- ing fields: electronic circuit designs, molecular sciences such puting, from solving complex scientific problems to improving the as pharmacology, and gene engineering, for example. Other computing experience for smart device and personal computer us- parallel computing applications include medical imaging, med- ers. This study investigates different methods of achieving paral- ical radiation therapy, and oil exploration. For the military, lelism in computing, and presents how parallelism can be identi- problems that require parallel computing include weapons de- fied compared to serial computing methods. Various uses of par- sign, stealth designs of planes and ships, and tracking move- allelism are explored. The first parallel computing method dis- cussed relates to software architecture, taxonomies and terms, ment of planes, ships, and troops. memory architecture, and programming. Next parallel computing In 1966, Michael J. Flynn proposed what is known as Flynn’s hardware is presented, including Graphics Processing Units, Taxonomy. This is a classification that breaks computer archi- streaming multiprocessor operation, and computer network stor- tecture down by the number of instructions that can be handled age for high capacity systems. Operating systems and related soft- concurrently. The first classification is Single Instruction, Sin- ware architecture which support parallel computing are dis- gle Data Stream (SISD). -
SSI-OSCAR: a Cluster Distribution for High Performance
SSI-OSCAR: a Cluster Distribution for High Performance Computing Using a Single System Image Geoffroy Vallée, Stephen Scott, Christine Morin, Jean-Yves Berthou, Hugues Prisker To cite this version: Geoffroy Vallée, Stephen Scott, Christine Morin, Jean-Yves Berthou, Hugues Prisker. SSI-OSCAR: a Cluster Distribution for High Performance Computing Using a Single System Image. [Research Report] RR-5538, INRIA. 2005, pp.13. inria-00070468 HAL Id: inria-00070468 https://hal.inria.fr/inria-00070468 Submitted on 19 May 2006 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE SSI-OSCAR: a Cluster Distribution for High Performance Computing Using a Single System Image Geoffroy Vallée 1 2 , Stephen L. Scott 3 , Christine Morin 4 , Jean-Yves Berthou 5 , Hugues Prisker 5 N˚5538 Mars 2005 Systèmes communicants apport de recherche ISRN INRIA/RR--5538--FR+ENG ISSN 0249-6399 SSI-OSCAR: a Cluster Distribution for High Performance Computing Using a Single System Image Geoffroy Vallée 1 2 , Stephen L. Scott 3 , Christine Morin 4 , Jean-Yves Berthou 5 , Hugues Prisker 5 Systèmes communicants Projet PARIS Rapport de recherche n˚5538 — Mars 2005 — 13 pages Abstract: The ease use and management of clusters needs tools to install, update and transparently manage distributed clusters resources. -
An Openmp Runtime for Parallel Processing Across Incoherent Domains
libMPNode: An OpenMP Runtime For Parallel Processing Across Incoherent Domains Robert Lyerly Sang-Hoon Kim Binoy Ravindran Bradley Department of Electrical and Department of Software and Bradley Department of Electrical and Computer Engineering Computer Engineering Computer Engineering Virginia Tech Ajou University Virginia Tech USA South Korea USA [email protected] [email protected] [email protected] Abstract 1 Introduction In this work we describe libMPNode, an OpenMP runtime de- In recent years there has been an increasing shift towards signed for efficient multithreaded execution across systems multicore, heterogeneous and distributed architectures to composed of multiple non-cache-coherent domains. Rather compensate for the limited increases in single core scalabil- than requiring extensive compiler-level transformations or ity [13, 27]. Additionally, there has been an explosion in big building new programming model abstractions, libMPNode data – data volumes are projected to grow 40% every year builds on recent works that allow developers to use a tra- for the next decade [30], meaning there is insatiable demand ditional shared-memory programming model to build ap- for compute power to mine new and increasing sources of plications that are migratable between incoherent domains. data. Computer systems are undergoing a revolution to deal libMPNode handles migrating threads between domains, or with this data, from the architecture to system software and nodes, and optimizes many OpenMP mechanisms to reduce applications. cross-node communication. While applications may not scale Because of these trends and due to the complexities of scal- as written, we describe early experiences in simple code ing interconnects to larger core counts [17], the systems com- refactoring techniques that help scale performance by only munity has experienced new interest in moving from soft- changing a handful of lines of code.