An advanced environment supporting structured parallel programming in Java
In this work we present Lithium, a pure Java structured parallel programming environment based on skeletons (common, reusable and efficient parallelism exploitation patterns). Lithium is implemented as a Java package and represents both the first skeleton based programming environment in Java and th...
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| Vydáno v: | Future generation computer systems Ročník 19; číslo 5; s. 611 - 626 |
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| Jazyk: | angličtina |
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Elsevier B.V
01.07.2003
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| ISSN: | 0167-739X, 1872-7115 |
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| Abstract | In this work we present Lithium, a pure Java structured parallel programming environment based on skeletons (common, reusable and efficient parallelism exploitation patterns). Lithium is implemented as a Java package and represents both the first skeleton based programming environment in Java and the first complete skeleton based Java environment exploiting macro-data flow implementation techniques.
Lithium supports a set of user code optimizations which are based on skeleton rewriting techniques. These optimizations improve both absolute performance and resource usage with respect to original user code. Parallel programs developed using the library run on any network of workstations provided the workstations support plain JRE. The paper describes the library implementation, outlines the optimization techniques used and eventually presents the performance results obtained on both synthetic and real applications. |
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| AbstractList | In this work we present Lithium, a pure Java structured parallel programming environment based on skeletons (common, reusable and efficient parallelism exploitation patterns). Lithium is implemented as a Java package and represents both the first skeleton based programming environment in Java and the first complete skeleton based Java environment exploiting macro-data flow implementation techniques.
Lithium supports a set of user code optimizations which are based on skeleton rewriting techniques. These optimizations improve both absolute performance and resource usage with respect to original user code. Parallel programs developed using the library run on any network of workstations provided the workstations support plain JRE. The paper describes the library implementation, outlines the optimization techniques used and eventually presents the performance results obtained on both synthetic and real applications. In this work we present Lithium, a pure Java structured parallel programming environment based on skeletons (common, reusable and efficient parallelism exploitation patterns). Lithium is implemented as a Java package and represents both the first skeleton based programming environment in Java and the first complete skeleton based Java environment exploiting macro-data flow implementation techniques. Lithium supports a set of user code optimizations which are based on skeleton rewriting techniques. These optimizations improve both absolute performance and resource usage with respect to original user code. Parallel programs developed using the library run on any network of workstations provided the workstations support plain JRE. The paper describes the library implementation, outlines the optimization techniques used and eventually presents the performance results obtained on both synthetic and real applications. |
| Author | Aldinucci, M. Danelutto, M. Teti, P. |
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Aridor, M. Factor, A. Teperman, cJVM: a single system image of a JVM on a cluster, in: Proceedings of the International Conference on Parallel Processing, Fukushima, Japan, 1999. M. Danelutto, R.D. Cosmo, X. Leroy, S. Pelagatti, Parallel functional programming with skeletons: the OCAMLP3L experiment, in: Proceedings of the ACM Sigplan Workshop on ML, 1998, pp. 31–39. M. Danelutto, M. Stigliani, SKElib: parallel programming with skeletons in C, in: A. Bode, T. Ludwing, W. Karl, R. Wismüller (Eds.), EuroPar’2000 Parallel Processing, LNCS, No. 1900, Springer, Berlin, 2000, pp. 1175–1184. MpiJava, The MpiJava home page, 2001. M. Danelutto, Dynamic run time support for skeletons, in: E.H. D’Hollander, G.R. Joubert, F.J. Peters, H.J. Sips (Eds.), Proceedings of the International Conference ParCo99, Vol. Parallel Computing Fundamentals and Applications, Imperial College Press, 1999, pp. 460–467. L.M. Silva, Web-based parallel computing with Java, in: R. 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Karl, R. Wismuller (Eds.), EuroPar’2000 Parallel Processing, LNCS, No. 1900, Springer, Berlin, 2000, pp. 1039–1052. P. Au, J. Darlington, M. Ghanem, Y. Guo, H. To, J. Yang, Co-ordinating heterogeneous parallel computation, in: L. Bouge, P. Fraigniaud, A. Mignotte, Y. Robert (Eds.), Europar’96, Springer, Berlin, 1996, pp. 601–614. P. Teti, Lithium: a Java skeleton environment, Master’s Thesis, Department of Computer Science, University of Pisa, October 2001 (in Italian). . JavaGrande, The JavaGrande home page, 2002. S. Pelagatti, Structured Development of Parallel Programs, Taylor & Francis, London, 1998. Bacci, Danelutto, Pelagatti, Vanneschi (BIB11) 1999; 25 J. Serot, D. Ginhac, Skeletons for parallel image processing: an overview of the SKiPPER project, Parallel Comput. 28 (11) (2002) 1663–1683. Sun, The Java home page, 2002. M. 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Lengauer (Eds.), Constructive Methods for Parallel Programming, Advances in Computation: Theory and Practice, NOVA Science Publisher, New York, 2002, pp. 59–78, draft available at 10.1016/S0167-739X(02)00172-3_BIB10 Bacci (10.1016/S0167-739X(02)00172-3_BIB11) 1999; 25 10.1016/S0167-739X(02)00172-3_BIB28 10.1016/S0167-739X(02)00172-3_BIB26 10.1016/S0167-739X(02)00172-3_BIB27 10.1016/S0167-739X(02)00172-3_BIB25 10.1016/S0167-739X(02)00172-3_BIB22 10.1016/S0167-739X(02)00172-3_BIB23 10.1016/S0167-739X(02)00172-3_BIB20 10.1016/S0167-739X(02)00172-3_BIB21 10.1016/S0167-739X(02)00172-3_BIB4 10.1016/S0167-739X(02)00172-3_BIB17 10.1016/S0167-739X(02)00172-3_BIB5 10.1016/S0167-739X(02)00172-3_BIB18 10.1016/S0167-739X(02)00172-3_BIB6 10.1016/S0167-739X(02)00172-3_BIB15 10.1016/S0167-739X(02)00172-3_BIB7 10.1016/S0167-739X(02)00172-3_BIB16 10.1016/S0167-739X(02)00172-3_BIB13 10.1016/S0167-739X(02)00172-3_BIB1 10.1016/S0167-739X(02)00172-3_BIB14 10.1016/S0167-739X(02)00172-3_BIB2 10.1016/S0167-739X(02)00172-3_BIB3 10.1016/S0167-739X(02)00172-3_BIB12 10.1016/S0167-739X(02)00172-3_BIB8 Danelutto (10.1016/S0167-739X(02)00172-3_BIB24) 2001; 11 10.1016/S0167-739X(02)00172-3_BIB9 10.1016/S0167-739X(02)00172-3_BIB19 |
| References_xml | – reference: tool for skeleton-based languages, in: S. Gorlatch, C. Lengauer (Eds.), Constructive Methods for Parallel Programming, Advances in Computation: Theory and Practice, NOVA Science Publisher, New York, 2002, pp. 59–78, draft available at – reference: J. Serot, D. Ginhac, R. Chapuis, J. Derutin, Fast prototyping of parallel-vision applications using functional skeletons, Mach. Vision Appl. 12 (2001) 217–290, Springer, Berlin. – reference: jPVM, The jPVM home page, 2001. – reference: P. Teti, Lithium: a Java skeleton environment, Master’s Thesis, Department of Computer Science, University of Pisa, October 2001 (in Italian). – reference: M. Aldinucci, M. Danelutto, An operational semantics for skeletons, Technical Report TR-02-13, Department of Computer Science, University of Pisa, Italy, July 2002. – reference: ). – reference: S. Pelagatti, Structured Development of Parallel Programs, Taylor & Francis, London, 1998. – reference: Y. Aridor, M. Factor, A. Teperman, cJVM: a single system image of a JVM on a cluster, in: Proceedings of the International Conference on Parallel Processing, Fukushima, Japan, 1999. – reference: J. Serot, D. Ginhac, Skeletons for parallel image processing: an overview of the SKiPPER project, Parallel Comput. 28 (11) (2002) 1663–1683. – reference: MpiJava, The MpiJava home page, 2001. – reference: C. Nester, R. Philippsen, B. Haumacher, A more efficient RMI for Java, in: Proceedings of the ACM 1999 JavaGrande Conference, 1999, pp. 152–157. – reference: M. Danelutto, R.D. Cosmo, X. Leroy, S. Pelagatti, Parallel functional programming with skeletons: the OCAMLP3L experiment, in: Proceedings of the ACM Sigplan Workshop on ML, 1998, pp. 31–39. – reference: S. McDonald, D. Szafron, J. Schaeffer, S. Bromling, Generating parallel program frameworks from parallel design patterns, in: A. Bode, T. Ludwing, W. Karl, R. Wismüller (Eds.), EuroPar’2000 Parallel Processing, LNCS, No. 1900, Springer, Berlin, 2000, pp. 95–105. – reference: E. Gamma, R. Helm, R. Johnson, J. Vissides, Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley, Reading, MA, 1994. – reference: P. Au, J. Darlington, M. Ghanem, Y. Guo, H. To, J. Yang, Co-ordinating heterogeneous parallel computation, in: L. Bouge, P. Fraigniaud, A. Mignotte, Y. Robert (Eds.), Europar’96, Springer, Berlin, 1996, pp. 601–614. – volume: 11 start-page: 41 year: 2001 end-page: 56 ident: BIB24 article-title: Efficient support for skeletons on workstation clusters publication-title: Parallel Process. Lett. – reference: M. Danelutto, Dynamic run time support for skeletons, in: E.H. D’Hollander, G.R. Joubert, F.J. Peters, H.J. Sips (Eds.), Proceedings of the International Conference ParCo99, Vol. Parallel Computing Fundamentals and Applications, Imperial College Press, 1999, pp. 460–467. – reference: Sun, The Java home page, 2002. – reference: L.M. Silva, Web-based parallel computing with Java, in: R. Buyya (Ed.), High Performance Cluster Computing, Prentice-Hall, Englewood Cliffs, NJ, 1999, pp. 310–326. – reference: D.C. Hyde, Java and different flavors of parallel programming models, in: R. Buyya (Ed.), High Performance Cluster Computing, Prentice-Hall, Englewood Cliffs, NJ, 1999, pp. 274–290. – reference: G. Antoniu, L. Bougé, P. Hatcher, M. MacBeth, K. McGuigan, R. Namyst, Compiling multithreaded Java bytecode for distributed execution, in: A. Bode, T. Ludwig, W. Karl, R. Wismuller (Eds.), EuroPar’2000 Parallel Processing, LNCS, No. 1900, Springer, Berlin, 2000, pp. 1039–1052. – reference: M. Aldinucci, Automatic program transformation: the – reference: . – reference: H. Kuchen, A skeleton library, Technical Report 6/02-I, Angewandte Mathematik und Informatik, University of Munster, 2002. – reference: M. Danelutto, Task farm computations in Java, in: Buback, Afsarmanesh, Williams, Hertzberger (Eds.), High Performance Computing and Networking, LNCS, No. 1823, Springer, Berlin, 2000, pp. 385–394. – reference: M. Cole, Algorithmic Skeletons: Structured Management of Parallel Computations, Research Monographs in Parallel and Distributed Computing, Pitman, London, 1989. – reference: M. Danelutto, M. Stigliani, SKElib: parallel programming with skeletons in C, in: A. Bode, T. Ludwing, W. Karl, R. Wismüller (Eds.), EuroPar’2000 Parallel Processing, LNCS, No. 1900, Springer, Berlin, 2000, pp. 1175–1184. – reference: JavaGrande, The JavaGrande home page, 2002. – reference: M. Aldinucci, M. Danelutto, Stream parallel skeleton optimisations, in: Proceedings of the IASTED International Conference Parallel and Distributed Computing and Systems, IASTED/ACTA Press, Boston, 1999, pp. 955–962. – volume: 25 start-page: 1827 year: 1999 end-page: 1852 ident: BIB11 article-title: SkIE: a heterogeneous environment for HPC applications publication-title: Parallel Comput. – reference: S. MacDonald, J. Anvik, S. Bromling, J. Shaeffer, D. Szafron, K. Tan, From patterns to frameworks to parallel programs, Parallel Comput. 28 (11) (2002) 1685–1708. – ident: 10.1016/S0167-739X(02)00172-3_BIB14 doi: 10.1007/3-540-44520-X_166 – volume: 11 start-page: 41 issue: 1 year: 2001 ident: 10.1016/S0167-739X(02)00172-3_BIB24 article-title: Efficient support for skeletons on workstation clusters publication-title: Parallel Process. Lett. doi: 10.1142/S0129626401000415 – ident: 10.1016/S0167-739X(02)00172-3_BIB12 – ident: 10.1016/S0167-739X(02)00172-3_BIB21 doi: 10.1007/3-540-44520-X_13 – ident: 10.1016/S0167-739X(02)00172-3_BIB16 – ident: 10.1016/S0167-739X(02)00172-3_BIB10 doi: 10.1007/3-540-61626-8_81 – ident: 10.1016/S0167-739X(02)00172-3_BIB2 – ident: 10.1016/S0167-739X(02)00172-3_BIB4 – ident: 10.1016/S0167-739X(02)00172-3_BIB27 – ident: 10.1016/S0167-739X(02)00172-3_BIB18 – ident: 10.1016/S0167-739X(02)00172-3_BIB6 – ident: 10.1016/S0167-739X(02)00172-3_BIB8 – ident: 10.1016/S0167-739X(02)00172-3_BIB25 doi: 10.1145/304065.304117 – ident: 10.1016/S0167-739X(02)00172-3_BIB13 – ident: 10.1016/S0167-739X(02)00172-3_BIB17 doi: 10.1007/3-540-45492-6_38 – ident: 10.1016/S0167-739X(02)00172-3_BIB15 – ident: 10.1016/S0167-739X(02)00172-3_BIB28 – volume: 25 start-page: 1827 year: 1999 ident: 10.1016/S0167-739X(02)00172-3_BIB11 article-title: SkIE: a heterogeneous environment for HPC applications publication-title: Parallel Comput. doi: 10.1016/S0167-8191(99)00072-1 – ident: 10.1016/S0167-739X(02)00172-3_BIB26 doi: 10.1016/S0167-8191(02)00190-4 – ident: 10.1016/S0167-739X(02)00172-3_BIB3 – ident: 10.1016/S0167-739X(02)00172-3_BIB22 – ident: 10.1016/S0167-739X(02)00172-3_BIB5 – ident: 10.1016/S0167-739X(02)00172-3_BIB19 – ident: 10.1016/S0167-739X(02)00172-3_BIB20 – ident: 10.1016/S0167-739X(02)00172-3_BIB1 – ident: 10.1016/S0167-739X(02)00172-3_BIB9 – ident: 10.1016/S0167-739X(02)00172-3_BIB7 – ident: 10.1016/S0167-739X(02)00172-3_BIB23 doi: 10.1142/9781848160170_0054 |
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