Two for the price of one: A model for parallel and incremental computation

ACM SIGPLAN Notices

Volumn 46, Issue 10, 2011, Pages 427-444

  Burckhardt, Sebastian ^a   Leijen, Daan ^a   Sadowski, Caitlin ^b   Yi, Jaeheon ^b   Ball, Thomas ^a  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Incremental memorization; Parallel programming; Self adjusting computation

Indexed keywords

DYNAMIC DEPENDENCE GRAPHS; INCREMENTAL COMPUTATION; INCREMENTAL MEMORIZATION; LAYOUT ALGORITHMS; MULTI-PASS; NOVEL ALGORITHM; PARALLEL COMPUTATION; PARALLEL PROGRAMMING MODEL; PARALLELIZATIONS; PROGRAMMING MODELS; PROGRAMMING TECHNIQUE; SELF-ADJUSTING COMPUTATIONS; SELF-ADJUSTMENT;

ABSTRACTING; PARALLEL PROGRAMMING;

ALGORITHMS;

EID: 84858323045     PISSN: 15232867     EISSN: None     Source Type: Journal    
DOI: 10.1145/2076021.2048101     Document Type: Conference Paper

References (37)

1. M. Abadi, B. W. Lampson, and J.-J. Lévy. Analysis and caching of dependencies. In International Conference on Functional Programming (ICFP), 1996.
2. U. Acar, G. Blelloch, M. Blume, R. Harper, and K. Tangwongsan. A library for self-adjusting computation. Electronic Notes in Theoretical Computer Science, 148:127-154, 2006.
3. U. A. Acar. Self-adjusting computation (an overview). In Workshop on Partial Evaluation and Program Manipulation (PEPM), 2009.
4. U. A. Acar, G. Blelloch, R. Ley-Wild, K. Tangwongsan, and D. Türkǒglu. Traceable data types for self-adjusting computation. In Programming Language Design and Implementation (PLDI), 2010.
5. U. A. Acar, G. E. Blelloch, M. Blume, R. Harper, and K. Tangwongsan. An experimental analysis of self-adjusting computation. Transactions on Programming Languages and Systems (TOPLAS), 32:3:1-3:53, November 2009.
6. U. A. Acar, G. E. Blelloch, and R. Harper. Selective memoization. In Principles of Programming Languages (POPL), 2003.
7. U. A. Acar, A. Cotter, B. Hudson, and D. Türkǒglu. Parallelism in dynamic well-spaced point sets. In Proceedings of the 23rd ACM Symposium on Parallelism in Algorithms and Architectures, 2011. Symposium on Parallelism in Algorithms and Architectures.
8. J. Ansel, C. Chan, Y. Wong, M. Olszewski, Q. Zhao, A. Edelman, and S. Amarasinghe. PetaBricks: A language and compiler for algorithmic choice. In Programming Language Design and Implementation (PLDI), 2009.
9. T. Bergan, O. Anderson, J. Devietti, L. Ceze, and D. Grossman. CoreDet: A compiler and runtime system for deterministic multithreaded execution. In Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2010.
10. E. Berger, T. Yang, T. Liu, and G. Novark. Grace: Safe multithreaded programming for C/C++. In Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2009.
11. P. Bhatotia, A. Wieder, I. E. Akkus, R. Rodrigues, and U. A. Acar. Large-scale incremental data processing with change propagation. In USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), 2011.
12. P. Bhatotia, A. Wieder, R. Rodrigues, U. A. Acar, and R. Pasquini. Incoop: Mapreduce for incremental computations. In ACM Symposium on Cloud Computing, 2011.
13. R. Bocchino, V. Adve, D. Dig., S. Adve, S. Heumann, R. Komuravelli, J. Overbey, P. Simmons, H. Sung, and M. Vakilian. A type and effect system for Deterministic Parallel Java. In Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2009.
14. S. Burckhardt, A. Baldassin, and D. Leijen. Concurrent programming with revisions and isolation types. In Object- Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2010.
15. S. Burckhardt and D. Leijen. Semantics of concurrent revisions (full version). Technical Report MSR-TR-2010-94, Microsoft, 2010.
16. S. Burckhardt and D. Leijen. Semantics of concurrent revisions. In European Symposium on Programming (ESOP), 2011.
17. M. Carlsson. Monads for incremental computing. In International Conference on Functional Programming (ICFP), 2002.
18. A. Demers, T. Reps, and T. Teitelbaum. Incremental evaluation for attribute grammars with application to syntax-directed editors. In Principles of Programming Languages (POPL), 1981.
19. J. Devietti, B. Lucia, L. Ceze, and M. Oskin. DMP: Deterministic shared-memory multiprocessing. Micro, IEEE, 30(1):40-49, 2010.
20. J. Field and T. Teitelbaum. Incremental reduction in the lambda calculus. In Conference on LISP and Functional Programming, 1990.
21. C. Flanagan and S. Freund. Efficient and precise dynamic race detection. In Programming Language Design and Impl. (PLDI), 2009.
22. M. Frigo, P. Halpern, C. E. Leiserson, and S. Lewin-Berlin. Reducers and other Cilk++ hyperobjects. In Symposium on Parallel Algorithms and Architectures (SPAA), 2009.
23. P. J. Guo and D. Engler. Towards practical incremental recomputation for scientists: An implementation for the Python language. In Workshop on the Theory and Practice of Provenance (TAPP), 2010.
24. M. Hammer, U. A. Acar, M. Rajagopalan, and A. Ghuloum. A proposal for parallel self-adjusting computation. In Workshop on Declarative Aspects of Multicore Programming (DAMP), 2007.
25. A. Heydon, R. Levin, and Y. Yu. Caching function calls using precise dependencies. In Programming Language Design and Implementation (PLDI), 2000.
26. R. Hoover. Incremental graph evaluation. PhD thesis, Cornell University, 1987.
27. E. Koskinen, M. Parkinson, and M. Herlihy. Coarse-grained transactions. In Principles of Programming Languages (POPL), 2010.
28. M. Kulkarni, K. Pingali, B. Walter, G. Ramanarayanan, K. Bala, and L. Chew. Optimistic parallelism requires abstractions. In Programming Language Design and Implementation (PLDI), 2007.
29. Y. A. Liu, S. D. Stoller, and T. Teitelbaum. Static caching for incremental computation. Transactions on Programming Languages and Systems (TOPLAS), 20:546-585, 1998. (Pubitemid 128446789)
30. Microsoft. Parallel programming samples, .NET framework 4. http://code.msdn.microsoft.com/ParExtSamples, May 2010.
31. G. Navarro. A guided tour to approximate string matching. ACM Computing Surveys, 33:31-88, 2001. (Pubitemid 33768480)
32. M. Olszewski, J. Ansel, and S. Amarasinghe. Kendo: efficient deterministic multithreading in software. SIGPLAN Notices, 44:97-108, 2009.
33. W. Pugh and T. Teitelbaum. Incremental computation via function caching. In Principles of Programming Languages (POPL), 1989.
34. G. Ramalingam and T. Reps. A categorized bibliography on incremental computation. In Principles of Programming Languages (POPL), 1993.
35. O. Sumer, U. A. Acar, A. Ihler, and R. Mettu. Fast parallel and adaptive updates for dual-decomposition solvers. In Conference on Artificial Intelligence (AAAI), 2011.
36. R. S. Sundaresh and P. Hudak. Incremental computation via partial evaluation. In Principles of Programming Languages (POPL), 1991.
37. D. M. Yellin and R. E. Strom. INC: a language for incremental computations. In Transactions on Programming Languages and Systems (TOPLAS), volume 13, pages 211 - 236, 1991.