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Turbocharging boosted transactions or: how i learnt to stop worrying and love longer transactions

Authors:

Chinmay Eishan Kulkarni,

Osman Unsal,

Adrián Cristal,

Eduard Ayguadé,

Mateo ValeroAuthors Info & Claims

PPoPP '09: Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming

Pages 307 - 308

https://doi.org/10.1145/1504176.1504228

Published: 14 February 2009 Publication History

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Abstract

Boosted transactions offer an attractive method that enables programmers to create larger transactions that scale well and offer deadlock-free guarantees. However, as boosted transactions get larger, they become more susceptible to conflicts and aborts. We describe a linear-time algorithm to detect transactions that cannot make progress, which transactions need to be aborted, and when. The algorithm guarantees zero false positives with minimal aborts. Our proposals, as implemented in DSTM2, increase the transactional throughput of the system, often by more than 30%.

References

[1]

T. Harris, S. Marlow, S. Peyton-Jones, and M. Herlihy. Composable memory transactions. Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming, pages 48--60, 2005.

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[2]

M. Herlihy and E. Koskinen. Transactional boosting: a methodology for highly-concurrent transactional objects. Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming, pages 207--216, 2008.

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[3]

E. Koskinen and M. Herlihy. Checkpoints and continuations instead of nested transactions. Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures, pages 160--168, 2008.

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[4]

D. Mitchell and M. Merritt. A distributed algorithm for deadlock detection and resolution. Proceedings of the third annual ACM symposium on Principles of distributed computing, pages 282--284, 1984.

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Index Terms

Turbocharging boosted transactions or: how i learnt to stop worrying and love longer transactions
1. Computing methodologies
  1. Parallel computing methodologies
    1. Parallel programming languages
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Parallel programming languages
  2. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        Process management
        Concurrency control
        Multithreading
        Process synchronization

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Turbocharging boosted transactions or: how i learnt to stop worrying and love longer transactions
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Boosted transactions offer an attractive method that enables programmers to create larger transactions that scale well and offer deadlock-free guarantees. However, as boosted transactions get larger, they become more susceptible to conflicts and aborts. ...
Unbounded page-based transactional memory
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Exploiting thread level parallelism is paramount in the multicore era. Transactions enable programmers to expose such parallelism by greatly simplifying the multi-threaded programming model. Virtualized transactions (unbounded in space and time) are ...
Unbounded page-based transactional memory
Proceedings of the 2006 ASPLOS Conference

Exploiting thread level parallelism is paramount in the multicore era. Transactions enable programmers to expose such parallelism by greatly simplifying the multi-threaded programming model. Virtualized transactions (unbounded in space and time) are ...

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Published In

PPoPP '09: Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming

February 2009

322 pages

ISBN:9781605583976

DOI:10.1145/1504176

General Chair:
Daniel Reed
Microsoft Research, USA
,
Program Chair:
Vivek Sarkar
Rice University, USA

ACM SIGPLAN Notices Volume 44, Issue 4
PPoPP '09
April 2009
294 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/1594835
Issue’s Table of Contents

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 February 2009

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PPoPP09

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PPoPP09: ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

February 14 - 18, 2009

NC, Raleigh, USA

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

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