Collaborative Research: SHF: Medium: Responsive Parallelism for Interactive Applications: Theory and Practice
Collaborative Research: SHF: Medium: Responsive Parallelism for Interactive Applications: Theory and Practice
批准号:
2107280
负责人:
Kunal Agrawal
金额:
$49.5万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2025-06-30
中文摘要
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英文摘要
The hardware advances of recent years have brought multicore chips and parallel computing to the mainstream. As a result, today, parallelism is not found just in the traditional scientific applications that have dominated research and development in parallel computing in past decades. We must now consider parallelism in interactive applications which are characterized by frequent interactions with users or other software systems and therefore must be responsive. This project’s aim is to develop a practical approach to interactive parallel applications. The project’s novelty, in addition to focusing on this under-studied intersection of parallelism and interaction, is that it follows an end-to-end methodology that brings together many areas of computer science and bridges theory with practice. The project has the potential to impact the design of several application areas that require large-scale interactive applications, including web services, desktop clients for CAD/CAM, games, and a variety of mobile applications. This research’s end-to-end goals require advances in type systems, programming languages, scheduling theory, and runtime systems. The research team will develop a calculus for modeling interactive parallel applications at a high level of abstraction. This calculus will equip a fully general formal programming language based on Church's Lambda Calculus with a cost semantics, making it possible 1) to express interactive parallel applications and 2) to reason about the throughput and responsiveness of the programs. A type system will ensure the absence of thorny bugs such as priority inversions that can prevent establishing responsiveness guarantees. The investigators will prove that this calculus is realizable by developing scheduling algorithms that can faithfully match the cost semantics so as to guarantee the desired performance criteria. On the practical side, the project team will extend Cilk, a C-based parallel programming language, to support interactive parallel applications. This will require developing a run-time system that faithfully implements the scheduling algorithms and optimizations that ensure practical performance. The educational component of this project, which involves teaching undergraduates parallel algorithms, will create ample opportunities to test the practical effectiveness of the proposed approach.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1145/3490148.3538570
发表时间:
2022-07
期刊:
Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures
影响因子:
--
作者:
[Daniel DeLayo;Kenny Zhang;Kunal Agrawal;M. A. Bender;Jonathan W. Berry;Rathish Das;Benjamin Moseley;C. Phillips]
通讯作者:
Daniel DeLayo;Kenny Zhang;Kunal Agrawal;M. A. Bender;Jonathan W. Berry;Rathish Das;Benjamin Moseley;C. Phillips
DOI:
10.1145/3558481.3591092
发表时间:
2023-06
期刊:
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures
影响因子:
--
作者:
[Kyle Singer;Kunal Agrawal;I. Lee]
通讯作者:
Kyle Singer;Kunal Agrawal;I. Lee
Collaborative Research: PPoSS: Large: A Full-Stack Architecture for Sparse Computation
-
批准号:2216971
-
项目类别:Standard Grant
-
资助金额:$54.98万
-
财政年份:2022
-
负责人:Kunal Agrawal
-
依托单位:
Collaborative Research: AF: Medium: Adventures in Flatland: Algorithms for Modern Memories
-
批准号:2106699
-
项目类别:Continuing Grant
-
资助金额:$30.0万
-
财政年份:2021
-
负责人:Kunal Agrawal
-
依托单位:
SPX: Collaborative Research: Eat your Wheaties: Multi-Grain Compilers for Parallel Builds at Every Scale
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批准号:1725647
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2017
-
负责人:Kunal Agrawal
-
依托单位:
XPS: FULL: FP: Collaborative Research: Taming parallelism: optimally exploiting high-throughput parallel architectures
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批准号:1439062
-
项目类别:Standard Grant
-
资助金额:$33.03万
-
财政年份:2014
-
负责人:Kunal Agrawal
-
依托单位:
XPS: FP: Real-Time Scheduling of Parallel Tasks
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批准号:1337218
-
项目类别:Standard Grant
-
资助金额:$75.0万
-
财政年份:2013
-
负责人:Kunal Agrawal
-
依托单位:
CAREER: Provably Good Concurrency Platforms for Streaming Applications
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批准号:1150036
-
项目类别:Continuing Grant
-
资助金额:$42.29万
-
财政年份:2012
-
负责人:Kunal Agrawal
-
依托单位:
AF: SMALL: Collaborative Research: Data Structures for Parallel Algorithms
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批准号:1218017
-
项目类别:Standard Grant
-
资助金额:$17.19万
-
财政年份:2012
-
负责人:Kunal Agrawal
-
依托单位:
国内基金
海外基金
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