2 Search Results for "Chauhan, Himanshu"

Document
DOI: 10.4230/LIPIcs.OPODIS.2017.20
Fast Detection of Stable and Count Predicates in Parallel Computations

Authors: Himanshu Chauhan and Vijay K. Garg

Published in: LIPIcs, Volume 95, 21st International Conference on Principles of Distributed Systems (OPODIS 2017)

Abstract
Enumerating all consistent states of a parallel computation that satisfy a given predicate is an important problem in debugging and verification of parallel programs. We give a fast algorithm to enumerate all consistent states of a parallel computation that satisfy a stable predicate. In addi- tion, we define a new category of global predicates called count predicates and give an algorithm to enumerate all consistent states (of the computation) that satisfy it. All existing predicate detection algorithms, such as BFS, DFS and Lex algorithms, do not exploit the knowledge about the nature of the predicates, and thus may visit all global states of the computation in the worst case. In comparison, our algorithms only visit the states that satisfy the given predicate, and thus take time and space that is a polynomial function of the number of states of interest. In doing so, they provide a significant reduction — exponential in many cases — in time complexities in comparison to existing algorithms.
Cite as

Himanshu Chauhan and Vijay K. Garg. Fast Detection of Stable and Count Predicates in Parallel Computations. In 21st International Conference on Principles of Distributed Systems (OPODIS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 95, pp. 20:1-20:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{chauhan_et_al:LIPIcs.OPODIS.2017.20,
  author =	{Chauhan, Himanshu and Garg, Vijay K.},
  title =	{{Fast Detection of Stable and Count Predicates in Parallel Computations}},
  booktitle =	{21st International Conference on Principles of Distributed Systems (OPODIS 2017)},
  pages =	{20:1--20:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-061-3},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{95},
  editor =	{Aspnes, James and Bessani, Alysson and Felber, Pascal and Leit\~{a}o, Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2017.20},
  URN =		{urn:nbn:de:0030-drops-86496},
  doi =		{10.4230/LIPIcs.OPODIS.2017.20},
  annote =	{Keywords: Algorithms, Theory, Predicate Detection, Parallel Programs}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2015.29
ActiveMonitor: Asynchronous Monitor Framework for Scalability and Multi-Object Synchronization

Authors: Wei-Lun Hung, Himanshu Chauhan, and Vijay K. Garg

Published in: LIPIcs, Volume 46, 19th International Conference on Principles of Distributed Systems (OPODIS 2015)

Abstract
Monitor objects are used extensively for thread-safety and synchronization in shared memory parallel programs. They provide ease of use, and enable straightforward correctness analysis. However, they inhibit parallelism by enforcing serial executions of critical sections, and thus the performance of parallel programs with monitors scales poorly with number of processes. Their current design and implementation is also ill-suited for thread synchronization across multiple thread-safe objects. We present ActiveMonitor - a framework that allows multi-object synchronization without global locks, and improves parallelism by exploiting asynchronous execution of critical sections. We evaluate the performance of Java based implementation of ActiveMonitor on micro-benchmarks involving light and heavy critical sections, as well as on single-source-shortest-path problem in directed graphs. Our results show that on most of these problems, ActiveMonitor based programs outperform programs implemented using Java's reentrant-lock and condition constructs.
Cite as

Wei-Lun Hung, Himanshu Chauhan, and Vijay K. Garg. ActiveMonitor: Asynchronous Monitor Framework for Scalability and Multi-Object Synchronization. In 19th International Conference on Principles of Distributed Systems (OPODIS 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 46, pp. 29:1-29:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

Copy BibTex To Clipboard

@InProceedings{hung_et_al:LIPIcs.OPODIS.2015.29,
  author =	{Hung, Wei-Lun and Chauhan, Himanshu and Garg, Vijay K.},
  title =	{{ActiveMonitor: Asynchronous Monitor Framework for Scalability and Multi-Object Synchronization}},
  booktitle =	{19th International Conference on Principles of Distributed Systems (OPODIS 2015)},
  pages =	{29:1--29:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-98-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{46},
  editor =	{Anceaume, Emmanuelle and Cachin, Christian and Potop-Butucaru, Maria},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2015.29},
  URN =		{urn:nbn:de:0030-drops-66188},
  doi =		{10.4230/LIPIcs.OPODIS.2015.29},
  annote =	{Keywords: concurrent/parallel programming, monitors, concurrency}
}
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