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Efficient deadlock avoidance for streaming computation with filtering

Authors:

Jeremy D. Buhler,

Roger D. ChamberlainAuthors Info & Claims

PPoPP '12: Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming

Pages 235 - 246

https://doi.org/10.1145/2145816.2145846

Published: 25 February 2012 Publication History

Abstract

Parallel streaming computations have been studied extensively, and many languages, libraries, and systems have been designed to support this model of computation. In particular, we consider acyclic streaming computations in which individual nodes can choose to filter, or discard, some of their inputs in a data-dependent manner. In these applications, if the channels between nodes have finite buffers, the computation can deadlock. One method of deadlock avoidance is to augment the data streams between nodes with occasional dummy messages; however, for general DAG topologies, no polynomial time algorithm is known to compute the intervals at which dummy messages must be sent to avoid deadlock.

In this paper, we show that deadlock avoidance for streaming computations with filtering can be performed efficiently for a large class of DAG topologies. We first present a new method where each dummy message is tagged with a destination, so as to reduce the number of dummy messages sent over the network. We then give efficient algorithms for dummy interval computation in series-parallel DAGs. We finally generalize our results to a larger graph family, which we call the CS4 DAGs, in which every undirected Cycle is Single-Source and Single-Sink (CS⁴). Our results show that, for a large set of application topologies that are both intuitively useful and formalizable, the streaming model with filtering can be implemented safely with reasonable overhead.

References

[1]

I. Buck, T. Foley, D. Horn, J. Sugerman, K. Fatahalian, M. Houston, and P. Hanrahan. Brook for GPUs: Stream computing on graphics hardware. ACM Trans. Graphics, 23 (3): 777--786, 2004.

Digital Library

[2]

J. T. Buck. Static scheduling and code generation from dynamic dataflow graphs with integer-valued control streams. In Asilomar Conf. on Signals, Systems, and Computers, pages 508--513, Nov. 1994.

[3]

J. Buhler, J. M. Lancaster, A. C. Jacob, and R. D. Chamberlain. Mercury BLASTN: Faster DNA sequence comparison using a streaming hardware architecture. In Proc. Reconfigurable Systems Summer Institute, Urbana, IL, July 2007.

[4]

R. J. Duffin. Topology of series-parallel networks. Journal of Mathematical Analysis and Applications, 10: 303--318, 1965.

[5]

M. A. Franklin, E. J. Tyson, J. H. Buckley, P. Crowley, and J. Maschmeyer. Auto-pipe and the X language: A pipeline design tool and description language. In IEEE Int'l Parallel and Distributed Processing Symp., Apr. 2006.

Digital Library

[6]

M. M. Gaber, A. Zaslavsky, and S. Krishnaswamy. Mining data streams: a review. SIGMOD Rec., 34 (2): 18--26, 2005.

Digital Library

[7]

B. Khailany, W. Dally, S. Rixner, U. Kapasi, P. Mattson, J. Namkoong, J. Owens, B. Towles, and A. Chang. Imagine: Media processing with streams. IEEE Micro, pages 35--46, March/April 2001.

Digital Library

[8]

E. A. Lee. Consistency in dataflow graphs. IEEE Trans. on Parallel and Distributed Systems, 2 (2): 223--235, Apr. 1991.

Digital Library

[9]

E. A. Lee and D. G. Messerschmitt. Synchronous data flow. Proceedings of the IEEE, 75 (9): 1235--1245, Sept. 1987.

[10]

P. Li, K. Agrawal, J. Buhler, and R. D. Chamberlain. Deadlock avoidance for streaming computations with filtering. In ACM Symp. on Parallelism in Algorithms and Architectures, 2010.

Digital Library

[11]

Li, Agrawal, Buhler, Chamberlain, and Lancaster}ASAP10P. Li, K. Agrawal, J. Buhler, R. D. Chamberlain, and J. M. Lancaster. Deadlock-avoidance for streaming applications with split-join structure: Two case studies. In IEEE Int'l Conf. on Application-specific Systems, Architectures and Processors, pages 333--336, July 2010.

[12]

Y. Liu, N. Vijayakumar, and B. Plale. Stream processing in data-driven computational science. In IEEE/ACM Int'l Conf. on Grid Computing, pages 160--167, 2006.

Digital Library

[13]

W. R. Mark, R. S. Glanville, K. Akeley, and M. J. Kilgard. Cg: a system for programming graphics hardware in a C-like language. ACM Trans. on Graphics, 22 (3): 896--907, July 2003.

Digital Library

[14]

J. Misra. Distributed discrete-event simulation. ACM Comput. Surv., 18 (1): 39--65, 1986.

Digital Library

[15]

J. W. Romein, P. C. Broekema, E. van Meijeren, K. van der Schaaf, and W. H. Zwart. Astronomical real-time streaming signal processing on a Blue Gene/L supercomputer. In ACM Symp. on Parallelism in Algorithms and Architectures, pages 59--66, 2006.

Digital Library

[16]

W. Thies and S. Amarasinghe. An empirical characterization of stream programs and its implications for language and compiler design. In Int'l Conf. on Parallel Architectures and Compilation Techniques, pages 365--376, 2010.

Digital Library

[17]

W. Thies, M. Karczmarek, and S. Amarasinghe. StreamIt: A language for streaming applications. In Int'l Conf. on Compiler Construction, pages 179--196, 2002.

Digital Library

[18]

J. Valdes, R. E. Tarjan, and E. L. Lawler. The recognition of series parallel digraphs. In ACM Symposium on Theory of Computing, 1979.

Digital Library

Cited By

Kulkarni RMishra PVedavyas JBiradar A(2023)Novel Approach to Identify and Eliminate Deadlocks in the ‘C’ ProgramProceedings of the 2nd International Conference on Cognitive and Intelligent Computing10.1007/978-981-99-2746-3_21(197-204)Online publication date: 2-Oct-2023
https://doi.org/10.1007/978-981-99-2746-3_21
Voss CCogumbreiro TSarkar VHollingsworth JKeidar I(2019)Transitive joinsProceedings of the 24th Symposium on Principles and Practice of Parallel Programming10.1145/3293883.3295724(378-390)Online publication date: 16-Feb-2019
https://dl.acm.org/doi/10.1145/3293883.3295724
Li PBeard JBuhler J(2017)Deadlock-free buffer configuration for stream computingInternational Journal of High Performance Computing Applications10.1177/109434201667567931:5(441-450)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1177/1094342016675679
Show More Cited By

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Efficient deadlock avoidance for streaming computation with filtering

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Published In

cover image ACM Conferences

PPoPP '12: Proceedings of the 17th ACM SIGPLAN symposium on Principles and Practice of Parallel Programming

February 2012

352 pages

ISBN:9781450311601

DOI:10.1145/2145816

General Chair:
J. Ramanujam
Louisiana State University, USA
,
Program Chair:
P. Sadayappan
The Ohio State University, USA

ACM SIGPLAN Notices Volume 47, Issue 8
PPOPP '12
August 2012
334 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/2370036
Issue’s Table of Contents

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 25 February 2012

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PPoPP '12: ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

February 25 - 29, 2012

Louisiana, New Orleans, USA

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Overall Acceptance Rate 230 of 1,014 submissions, 23%

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Cited By

Kulkarni RMishra PVedavyas JBiradar A(2023)Novel Approach to Identify and Eliminate Deadlocks in the ‘C’ ProgramProceedings of the 2nd International Conference on Cognitive and Intelligent Computing10.1007/978-981-99-2746-3_21(197-204)Online publication date: 2-Oct-2023
https://doi.org/10.1007/978-981-99-2746-3_21
Voss CCogumbreiro TSarkar VHollingsworth JKeidar I(2019)Transitive joinsProceedings of the 24th Symposium on Principles and Practice of Parallel Programming10.1145/3293883.3295724(378-390)Online publication date: 16-Feb-2019
https://dl.acm.org/doi/10.1145/3293883.3295724
Li PBeard JBuhler J(2017)Deadlock-free buffer configuration for stream computingInternational Journal of High Performance Computing Applications10.1177/109434201667567931:5(441-450)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1177/1094342016675679
Cole SBuhler J(2017)MERCATOR: A GPGPU Framework for Irregular Streaming Applications2017 International Conference on High Performance Computing & Simulation (HPCS)10.1109/HPCS.2017.111(727-736)Online publication date: Jul-2017
https://doi.org/10.1109/HPCS.2017.111
Li PBeard JBuhler J(2015)Deadlock-free buffer configuration for stream computingProceedings of the Sixth International Workshop on Programming Models and Applications for Multicores and Manycores10.1145/2712386.2712403(164-169)Online publication date: 7-Feb-2015
https://dl.acm.org/doi/10.1145/2712386.2712403
Li PAgrawal KBuhler JChamberlain R(2014)Orchestrating safe streaming computations with precise control2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS)10.1109/PADSW.2014.7097925(1017-1022)Online publication date: Dec-2014
https://doi.org/10.1109/PADSW.2014.7097925
Li PBuhler J(2013)Polyhedral Constraints for Bounded-Memory Execution of Synchronized Filtering DataflowProceedings of the 2013 Data-Flow Execution Models for Extreme Scale Computing10.1109/DFM.2013.11(29-37)Online publication date: 8-Sep-2013
https://dl.acm.org/doi/10.1109/DFM.2013.11

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