Piccolo: Building fast, distributed programs with partitioned tables

Proceedings of the 9th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2010

Volumn , Issue , 2019, Pages 293-306

  Power, Russell ^a   Li, Jinyang ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FLOW ANALYSIS; DATA TRANSFER; FAULT TOLERANCE; FAULT TOLERANT COMPUTER SYSTEMS; K-MEANS CLUSTERING; SYSTEMS ANALYSIS;

DATAFLOW MODEL; DISTRIBUTED CRAWLER; DISTRIBUTED PROGRAM; MEMORY APPLICATIONS; PAGERANK ALGORITHM; PARTITIONED TABLES; PROGRAMMING INTERFACE; PROGRAMMING MODELS;

INTERFACE STATES;

EID: 85076911148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (54)

1. Apache hadoop. http://hadoop.apache.org.
2. Example matrix multiplication implementation using mpi. http://www.cs.umanitoba.ca/comp4510/examples.html.
3. ALMÁSI, G., HEIDELBERGER, P., ARCHER, C. J., MARTORELL, X., ERWAY, C. C., MOREIRA, J. E., STEINMACHERBUROW, B., AND ZHENG, Y. Optimization of MPI collective communication on BlueGene/L systems. In Proceedings of the 19th annual international conference on Supercomputing (New York, NY, USA, 2005), ICS'05, ACM, pp. 253-262.
4. ANDERSEN, D. G., FRANKLIN, J., KAMINSKY, M., PHANISHAYEE, A., TAN, L., AND VASUDEVAN, V. FAWN: a fast array of wimpy nodes. In SOSP (2009), J. N. Matthews and T. E. Anderson, Eds., ACM, pp. 1-14.
5. BASUMALLIK, A., MIN, S.-J., AND EIGENMANN, R. Programming distributed memory sytems using OpenMP. Parallel and Distributed Processing Symposium, International 0 (2007), 207.
6. BEAZLEY, D. M. Automated scientific software scripting with SWIG. Future Gener. Comput. Syst. 19 (July 2003), 599-609.
7. BERSHAD, B. N., ZEKAUSKAS, M. J., AND SAWDON, W. The Midway Distributed Shared Memory System. In Proceedings of the 38th IEEE Computer Society International Conference (1993).
8. BLUMOFE, R. D., JOERG, C. F., KUSZMAUL, B. C., LEISER-SON, C. E., RANDALL, K. H., AND ZHOU, Y. Cilk: an efficient multithreaded runtime system. In PPOPP'95: Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming (New York, NY, USA, 1995), ACM, pp. 207-216.
9. BOLDI, P., AND VIGNA, S. The WebGraph framework I: Compression techniques. In Proc. of the Thirteenth International World Wide Web Conference (WWW 2004) (Manhattan, USA, 2004), ACM Press, pp. 595-601.
10. BOSILCA, G., BOUTEILLER, A., CAPPELLO, F., DJILALI, S., FEDAK, G., GERMAIN, C., HERAULT, T., LEMARINIER, P., LODYGENSKY, O., MAGNIETTE, F., NERI, V., AND SELIKHOV, A. Mpich-v: toward a scalable fault tolerant mpi for volatile nodes. In Proceedings of the 2002 ACM/IEEE conference on Supercomputing (Los Alamitos, CA, USA, 2002), Supercomputing '02, IEEE Computer Society Press, pp. 1-18.
11. BRIN, S., AND PAGE, L. The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems 30, 1-7 (1998), 107 - 117. Proceedings of the Seventh International World Wide Web Conference.
12. BUCK, I., FOLEY, T., HORN, D., SUGERMAN, J., FATAHALIAN, K., HOUSTON, M., AND HANRAHAN, P. Brook for GPUs: stream computing on graphics hardware. In ACM SIG-GRAPH 2004 Papers (2004), ACM, p. 786.
13. CARRIERO, N., AND GELERNTER, D. Linda in context. Com-mun. ACM 32, 4 (1989), 444-458.
14. CHAMBERS, C., RANIWALA, A., PERRY, F., ADAMS, S., HENRY, R. R., BRADSHAW, R., AND WEIZENBAUM, N. Flumejava: Easy, efficient data-parallel pipelines. In PLDI - ACM SIGPLAN 2010 (2010).
15. CHANDY, K. M., AND LAMPORT, L. Distributed snapshots: determining global states of distributed systems. ACM Transactions on Computer Systems (TOCS) 3 (1985), 63-75.
16. CONDIE, T., CONWAY, N., ALVARO, P., AND HELLERSTEIN, J. MapReduce online. In NSDI (2010).
17. CONSORTIUM, U. UPC language specifications, v1.2. Tech. rep., Lawrence Berkeley National Lab, 2005.
18. DAGUM, L., AND MENON, R. Open MP: An Industry-Standard API for Shared-Memory Programming. IEEE Computational Science and Engineering 5, 1 (1998), 46-55.
19. DEAN, J., AND GHEMAWAT, S. Mapreduce: Simplified data processing on large clusters. In Symposium on Operating System Design and Implementation (OSDI) (2004).
20. DECANDIA, G., HASTORUN, D., JAMPANI, M., KAKULAPATI, G., LAKSHMAN, A., PILCHIN, A., SIVASUBRAMANIAN, S., VOSSHALL, P., AND VOGELS, W. Dynamo: Amazon's highly available key-value store. In ACM Symposium on Operating Systems Principles (Oct. 2007), pp. 205-220.
21. FORUM, M. MPI 2.0 standard, 1997.
22. FREEMAN, E., ARNOLD, K., AND HUPFER, S. JavaSpaces Principles, Patterns, and Practice. Addison-Wesley Longman Ltd., Essex, UK, UK, 1999.
23. GRIBBLE, S. D., BREWER, E. A., HELLERSTEIN, J. M., AND CULLER, D. Scalable, distributed data structures for internet service construction. In OSDI'00: Proceedings of the 4th conference on Symposium on Operating System Design & Implementation (Berkeley, CA, USA, 2000), USENIX Association, pp. 22-22.
24. GROUP, K. O. W. The OpenCL specification. Tech. rep., 2009.
25. HILL, J., MCCOLL, W., STEFANESCU, D., GOUDREAU, M., LANG, K., RAO, S., SUEL, T., TSANTILAS, T., AND BISSELING, H. Bsplib: The bsp programming library. Parallel Computing 24 (1998).
26. HOEFLINGER, J. P. Extending OpenMP to clusters. Tech. rep., Intel, 2009.
27. ISARD, M., BUDIU, M., YU, Y., BIRRELL, A., AND FETTERLY, D. Dryad: Distributed data-parallel programs from sequential building blocks. In European Conference on Computer Systems (EuroSys) (2007).
28. ISARD, M., PRABHAKARAN, V., CURREY, J., WIEDER, U., TALWAR, K., AND GOLDBERG, A. Quincy: Fair scheduling for distributed computing clusters. In SOSP (2010).
29. JOHNSON, K. L., KAASHOEK, M. F., AND WALLACH, D. A. CRL: High-performance all-software distributed shared memory. In SOSP (1995).
30. KELEHER, P., COX, A. L., AND ZWAENEPOEL, W. Lazy release consistency for software distributed shared memory. In In Proceedings of the 19th Annual International Symposium on Computer Architecture (1992).
31. LAMPORT, L. How to make a multiprocessor that correctly executes multiprocess programs. IEEE Transactions on Computers 28, 9 (1979).
32. LI, K., AND HUDAK, P. Memory coherence in shared virtual memory systems. ACM Transactions on Computer Systems (TOCS) 7 (1989), 321-359.
33. MALEWICZ, G., AUSTERN, M. H., BIK, A. J., DEHNERT, J. C., HORN, I., LEISER, N., AND CZAJKOWSKI, G. Pregel: a system for large-scale graph processing. In SIGMOD'10: Proceedings of the 2010 international conference on Management of data (New York, NY, USA, 2010), ACM, pp. 135-146.
34. NAGARAJAN, A. B., MUELLER, F., ENGELMANN, C., AND SCOTT, S. L. Proactive fault tolerance for hpc with xen virtualization. In Proceedings of the 21st annual international conference on Supercomputing (New York, NY, USA, 2007), ICS'07, ACM, pp. 23-32.
35. NUMRICH, R. W., AND REID, J. Co-array Fortran for parallel programming. SIGPLAN Fortran Forum 17 (August 1998), 1-31.
36. NVIDIA. CUDA programming guide (ver 3.0).
37. OLSON, C., REED, B., SRIVASTAVA, U., KUMAR, R., AND TOMKINS, A. Pig Latin: A not-so-foreign language for data processing. In ACM SIGMOD (2008).
38. OUSTERHOUT, J., AGRAWAL, P., ERICKSON, D., KOZYRAKIS, C., LEVERICH, J., MAZIERES, D., MITRA, S., NARAYANAN, A., PARULKAR, G., ROSENBLUM, M., RUMBERL, S., STRATMANN, E., AND STUTSMAN, R. The case for RAMclouds: Scalable high-performance storage entirely in DRAM. In Operating system review (Dec. 2009).
39. PHILLIPS, L., AND FITZPATRICK, B. Livejournal's backend and memcached: Past, present, and future. In LISA (2004), USENIX.
40. PIKE, R., DORWARD, S., GRIESEMER, R., AND QUINLAN, S. Interpreting the data: Parallel analysis with Sawzall. In Scientific Programming (2005).
41. REINDERS, J. Intel threading building blocks: outfitting C++ for multi-core processor parallelism. O'Reilly Media, Inc., 2007.
42. ROWSTRON, A., AND DRUSCHEL, P. Pastry: Scalable, distributed object location and routing for large-scale peer-to-peer systems. In 18th IFIP/ACM International Conference on Distributed Systems Platforms (Nov. 2001).
43. SINGH, J. P., WEBER, W.-D., AND GUPTA, A. SPLASH: Stanford parallel applications for shared-memory. Tech. rep., Stanford University, 1991.
44. STEPHENS, R. A survey of stream processing, 1995.
45. STOICA, I., MORRIS, R., LIBEN-NOWELL, D., KARGER, D. R., KAASHOEK, M. F., DABEK, F., AND BALAKRISHNAN, H. Chord: A scalable peer-to-peer lookup protocol for Internet applications. IEEE/ACM Transactions on Networking (2002), 149-160.
46. SUNDERAM, V. PVM: A framework for parallel distributed computing. Concurrency: Practice and Experience (1990), 315-339.
47. THIES, W., KARCZMAREK, M., AND AMARASINGHE, S. StreamIt: A language for streaming applications. In Compiler Construction (2002), Springer, pp. 49-84.
48. THUSOO, A., SARMA, J. S., JAIN, N., SHAO, Z., CHAKKA, P., ANTHONY, S., LIU, H., WYCKOFF, P., AND MURTHY, R. Hive: a warehousing solution over a map-reduce framework. Proc. VLDB Endow. 2 (August 2009), 1626-1629.
49. TSANG LEE, H., LEONARD, D., WANG, X., AND LOGUINOV, D. Irlbot: Scaling to 6 billion pages and beyond. In WWW Conference (2008).
50. VALIANT, L. A bridging model for parallel computation. Communications of the ACM 33 (1990).
51. YELICK, K., SEMENZATO, L., PIKE, G., MIYAMOTO, C., LIBLIT, B., KRISHNAMURTHY, A., GRAHAM, P. H. S., GAY, D., COLELLA, P., AND AIKEN, A. Titanium: A high-performance Java dialect. Concurrency: Practice and Experience 10, 11 (1998).
52. YU, Y., GUNDA, P. K., AND ISARD, M. Distributed aggregation for data-parallel computing: Interfaces and implementations. In ACM Symposium on Operating Systems Principles (SOSP) (2009).
53. YU, Y., ISARD, M., FETTERLY, D., BUDIU, M., ERLINGSSON, U., GUNDA, P. K., AND CURREY, J. DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language. In Symposium on Operating System Design and Implementation (OSDI) (2008).
54. ZAHARIA, M., CHOWDHURY, N. M. M., FRANKLIN, M., SHENKER, S., AND STOICA, I. Spark: Cluster Computing with Working Sets. Tech. Rep. UCB/EECS-2010-53, EECS Department, University of California, Berkeley, May 2010.