6 Search Results for "Sarkar, Vivek"

Document
DOI: 10.4230/LIPIcs.ECOOP.2023.13
Dynamic Determinacy Race Detection for Task-Parallel Programs with Promises

Authors: Feiyang Jin, Lechen Yu, Tiago Cogumbreiro, Jun Shirako, and Vivek Sarkar

Published in: LIPIcs, Volume 263, 37th European Conference on Object-Oriented Programming (ECOOP 2023)

Abstract
Much of the past work on dynamic data-race and determinacy-race detection algorithms for task parallelism has focused on structured parallelism with fork-join constructs and, more recently, with future constructs. This paper addresses the problem of dynamic detection of data-races and determinacy-races in task-parallel programs with promises, which are more general than fork-join constructs and futures. The motivation for our work is twofold. First, promises have now become a mainstream synchronization construct, with their inclusion in multiple languages, including C++, JavaScript, and Java. Second, past work on dynamic data-race and determinacy-race detection for task-parallel programs does not apply to programs with promises, thereby identifying a vital need for this work. This paper makes multiple contributions. First, we introduce a featherweight programming language that captures the semantics of task-parallel programs with promises and provides a basis for formally defining determinacy using our semantics. This definition subsumes functional determinacy (same output for same input) and structural determinacy (same computation graph for same input). The main theoretical result shows that the absence of data races is sufficient to guarantee determinacy with both properties. We are unaware of any prior work that established this result for task-parallel programs with promises. Next, we introduce a new Dynamic Race Detector for Promises that we call DRDP. DRDP is the first known race detection algorithm that executes a task-parallel program sequentially without requiring the serial-projection property; this is a critical requirement since programs with promises do not satisfy the serial-projection property in general. Finally, the paper includes experimental results obtained from an implementation of DRDP. The results show that, with some important optimizations introduced in our work, the space and time overheads of DRDP are comparable to those of more restrictive race detection algorithms from past work. To the best of our knowledge, DRDP is the first determinacy race detector for task-parallel programs with promises.
Cite as

Feiyang Jin, Lechen Yu, Tiago Cogumbreiro, Jun Shirako, and Vivek Sarkar. Dynamic Determinacy Race Detection for Task-Parallel Programs with Promises. In 37th European Conference on Object-Oriented Programming (ECOOP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 263, pp. 13:1-13:30, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{jin_et_al:LIPIcs.ECOOP.2023.13,
  author =	{Jin, Feiyang and Yu, Lechen and Cogumbreiro, Tiago and Shirako, Jun and Sarkar, Vivek},
  title =	{{Dynamic Determinacy Race Detection for Task-Parallel Programs with Promises}},
  booktitle =	{37th European Conference on Object-Oriented Programming (ECOOP 2023)},
  pages =	{13:1--13:30},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-281-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{263},
  editor =	{Ali, Karim and Salvaneschi, Guido},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2023.13},
  URN =		{urn:nbn:de:0030-drops-182060},
  doi =		{10.4230/LIPIcs.ECOOP.2023.13},
  annote =	{Keywords: Race detection, Promise, Determinism, Determinacy-race, Serial projection}
}
Document
Artifact
DOI: 10.4230/DARTS.9.2.24
Determinacy Race Detector for Promises (Artifact)

Authors: Feiyang Jin and Lechen Yu

Published in: DARTS, Volume 9, Issue 2, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023)

Abstract
Much of the past work on dynamic data-race and determinacy-race detection algorithms for task parallelism has focused on structured parallelism with fork-join constructs and, more recently, with future constructs. This paper addresses the problem of dynamic detection of data-races and determinacy-races in task-parallel programs with promises, which are more general than fork-join constructs and futures. We have introduced a dynamic data race detector, DRDP, to help examine task-parallelism programs with promises. DRDP is designed for the HCLIB parallel programming model and capable of pinpointing data races in a HCLIB program. In this artifact, we provide the race detector implementation and all benchmarks to help reproduce the reported results in the paper.
Cite as

Feiyang Jin and Lechen Yu. Determinacy Race Detector for Promises (Artifact). In Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023). Dagstuhl Artifacts Series (DARTS), Volume 9, Issue 2, pp. 24:1-24:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{jin_et_al:DARTS.9.2.24,
  author =	{Jin, Feiyang and Yu, Lechen},
  title =	{{Determinacy Race Detector for Promises (Artifact)}},
  pages =	{24:1--24:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2023},
  volume =	{9},
  number =	{2},
  editor =	{Jin, Feiyang and Yu, Lechen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DARTS.9.2.24},
  URN =		{urn:nbn:de:0030-drops-182649},
  doi =		{10.4230/DARTS.9.2.24},
  annote =	{Keywords: Race detection, Promise, Determinism, Determinacy-race}
}
Document
Artifact
DOI: 10.4230/DARTS.7.2.15
Linear Promises: Towards Safer Concurrent Programming (Artifact)

Authors: Ohad Rau, Caleb Voss, and Vivek Sarkar

Published in: DARTS, Volume 7, Issue 2, Special Issue of the 35th European Conference on Object-Oriented Programming (ECOOP 2021)

Abstract
We present a compiler for a concurrent programming language, which utilizes linear typing to create a safer promise abstraction. The compiler is implemented in OCaml and produces source-level Java code. We provide example programs to demonstrate use of the language, as well as translations of incorrect JavaScript code from StackOverflow to showcase the ability of our language to catch many classes of bugs. Finally, we provide a minimal runtime environment to allow the execution of compiled programs.
Cite as

Ohad Rau, Caleb Voss, and Vivek Sarkar. Linear Promises: Towards Safer Concurrent Programming (Artifact). In Special Issue of the 35th European Conference on Object-Oriented Programming (ECOOP 2021). Dagstuhl Artifacts Series (DARTS), Volume 7, Issue 2, pp. 15:1-15:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Article{rau_et_al:DARTS.7.2.15,
  author =	{Rau, Ohad and Voss, Caleb and Sarkar, Vivek},
  title =	{{Linear Promises: Towards Safer Concurrent Programming (Artifact)}},
  pages =	{15:1--15:3},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2021},
  volume =	{7},
  number =	{2},
  editor =	{Rau, Ohad and Voss, Caleb and Sarkar, Vivek},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DARTS.7.2.15},
  URN =		{urn:nbn:de:0030-drops-140394},
  doi =		{10.4230/DARTS.7.2.15},
  annote =	{Keywords: promises, type systems, linear typing, operational semantics, concurrency}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2021.13
Linear Promises: Towards Safer Concurrent Programming

Authors: Ohad Rau, Caleb Voss, and Vivek Sarkar

Published in: LIPIcs, Volume 194, 35th European Conference on Object-Oriented Programming (ECOOP 2021)

Abstract
In this paper, we introduce a new type system based on linear typing, and show how it can be incorporated in a concurrent programming language to track ownership of promises. By tracking write operations on each promise, the language is able to guarantee exactly one write operation is ever performed on any given promise. This language thus precludes a number of common bugs found in promise-based programs, such as failing to write to a promise and writing to the same promise multiple times. We also present an implementation of the language, complete with an efficient type checking algorithm and high-level programming constructs. This language serves as a safer platform for writing high-level concurrent code.
Cite as

Ohad Rau, Caleb Voss, and Vivek Sarkar. Linear Promises: Towards Safer Concurrent Programming. In 35th European Conference on Object-Oriented Programming (ECOOP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 194, pp. 13:1-13:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{rau_et_al:LIPIcs.ECOOP.2021.13,
  author =	{Rau, Ohad and Voss, Caleb and Sarkar, Vivek},
  title =	{{Linear Promises: Towards Safer Concurrent Programming}},
  booktitle =	{35th European Conference on Object-Oriented Programming (ECOOP 2021)},
  pages =	{13:1--13:27},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-190-0},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{194},
  editor =	{M{\o}ller, Anders and Sridharan, Manu},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2021.13},
  URN =		{urn:nbn:de:0030-drops-140565},
  doi =		{10.4230/LIPIcs.ECOOP.2021.13},
  annote =	{Keywords: promises, type systems, linear typing, operational semantics, concurrency}
}
Document
DOI: 10.4230/DARTS.1.1.6
The Eureka Programming Model for Speculative Task Parallelism (Artifact)

Authors: Shams Imam and Vivek Sarkar

Published in: DARTS, Volume 1, Issue 1, Special Issue of the 29th European Conference on Object-Oriented Programming (ECOOP 2015)

Abstract
This artifact includes a Java-based library implementation of the Eureka programming model (EuPM) that simplifies the expression of speculative parallel tasks. Eureka-style computations are especially well-suited for parallel search and optimization applications. The artifact includes implementations of the eureka patterns that are supported by our Eureka API. These patterns include search, optimization, convergence, N-version programming, and soft real-time deadlines. These different patterns of computations can also be safely combined or nested in the EuPM, along with regular task-parallel constructs, thereby enabling high degrees of composability and reusability. We also include source code of the different benchmarks presented in the paper. The interested reader can use the artifact to experiment with various eureka-style applications and custom Eureka variants in the EuPM.
Cite as

Shams Imam and Vivek Sarkar. The Eureka Programming Model for Speculative Task Parallelism (Artifact). In Special Issue of the 29th European Conference on Object-Oriented Programming (ECOOP 2015). Dagstuhl Artifacts Series (DARTS), Volume 1, Issue 1, pp. 6:1-6:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{imam_et_al:DARTS.1.1.6,
  author =	{Imam, Shams and Sarkar, Vivek},
  title =	{{The Eureka Programming Model for Speculative Task Parallelism (Artifact)}},
  pages =	{6:1--6:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2015},
  volume =	{1},
  number =	{1},
  editor =	{Imam, Shams and Sarkar, Vivek},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DARTS.1.1.6},
  URN =		{urn:nbn:de:0030-drops-55157},
  doi =		{10.4230/DARTS.1.1.6},
  annote =	{Keywords: Async-Finish Model, Delimited Continuations, Eureka Model, Parallel Programming, Speculative Parallelism, Task Cancellation, Task Termination}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2015.421
The Eureka Programming Model for Speculative Task Parallelism

Authors: Shams Imam and Vivek Sarkar

Published in: LIPIcs, Volume 37, 29th European Conference on Object-Oriented Programming (ECOOP 2015)

Abstract
In this paper, we describe the Eureka Programming Model (EuPM) that simplifies the expression of speculative parallel tasks, and is especially well suited for parallel search and optimization applications. The focus of this work is to provide a clean semantics for, and efficiently support, such "eureka-style" computations (EuSCs) in general structured task parallel programming models. In EuSCs, a eureka event is a point in a program that announces that a result has been found. A eureka triggered by a speculative task can cause a group of related speculative tasks to become redundant, and enable them to be terminated at well-defined program points. Our approach provides a bound on the additional work done in redundant speculative tasks after such a eureka event occurs. We identify various patterns that are supported by our eureka construct, which include search, optimization, convergence, and soft real-time deadlines. These different patterns of computations can also be safely combined or nested in the EuPM, along with regular task-parallel constructs, thereby enabling high degrees of composability and reusability. As demonstrated by our implementation, the EuPM can also be implemented efficiently. We use a cooperative runtime that uses delimited continuations to manage the termination of redundant tasks and their synchronization at join points. In contrast to current approaches, EuPM obviates the need for cumbersome manual refactoring by the programmer that may (for example) require the insertion of if checks and early return statements in every method in the call chain. Experimental results show that solutions using the EuPM simplify programmability, achieve performance comparable to hand-coded speculative task-based solutions and out-perform non-speculative task-based solutions.
Cite as

Shams Imam and Vivek Sarkar. The Eureka Programming Model for Speculative Task Parallelism. In 29th European Conference on Object-Oriented Programming (ECOOP 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 37, pp. 421-444, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{imam_et_al:LIPIcs.ECOOP.2015.421,
  author =	{Imam, Shams and Sarkar, Vivek},
  title =	{{The Eureka Programming Model for Speculative Task Parallelism}},
  booktitle =	{29th European Conference on Object-Oriented Programming (ECOOP 2015)},
  pages =	{421--444},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-86-6},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{37},
  editor =	{Boyland, John Tang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2015.421},
  URN =		{urn:nbn:de:0030-drops-52327},
  doi =		{10.4230/LIPIcs.ECOOP.2015.421},
  annote =	{Keywords: Async-Finish Model, Delimited Continuations, Eureka Model, Parallel Programming, Speculative Parallelism, Task Cancellation, Task Termination}
}
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