SHF: Medium: Algorithmic lambda-Calculus for the Design, Analysis, and Implementation of Parallel Algorithms

SHF：Medium：用于并行算法设计、分析和实现的算法 lambda 演算

基本信息

批准号：
1901381
负责人：
Guy Blelloch
金额：
$ 119.98万
依托单位：
Carnegie-Mellon University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-07-01 至 2024-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901381&HistoricalAwards=false
关键词：
SHF Medium Algorithmic lambda Calculus

项目摘要

The hardware advances of recent years have brought multicore chips and parallel computing to the mainstream. While there have been many advances in parallel software for such multicore chips over the past decade, there is still no satisfactory model for analyzing the performance of parallel algorithms. In particular, and unlike the case for sequential algorithms, there is a gap between cost models for estimating performance of algorithms and easy to use programming models for implementing the algorithms. This project is developing a practical approach to parallel algorithms by bringing together two fundamental but distinct theories of computing---one based on machine models and following the work that dates back to Dr. Alan Turing, and the other based on language models and following the work that dates back to Dr. Alonzo Church. The novelty of the project is in combining these two theories, for which there is currently a large rift. The impact of the project is in making significant steps in simplifying the design and analysis of parallel algorithms, and better understanding of the relationship between the two theories of computing. The educational component of this project involves teaching undergraduates parallel algorithms and creates ample opportunities to test the practical effectiveness of the proposed approach, along with concrete efforts to broaden participation in computing through programs at Carnegie-Mellon University.The work is following an end-to-end methodology bridging Church and Turing's theories along with practice. On the theory side, the project is developing a calculus called the ``algorithmic lambda-calculus,'' that equips Church's lambda-calculus with a cost semantics, making it possible to reason about the total work and parallel span (time) of programs, which in turn can be used to understand the performance of algorithms, at least asymptotically. To show that this calculus is realizable, the project is theoretically establishing that the calculus is faithful to a transition semantics, which can then be efficiently realized on an abstract machine such as the Parallel-RAM. On the practical side, the project is developing a programming language and a compiler that faithfully implements this theory. The project is also extending the algorithmic lambda-calculus, the realizability theorems, and the implementation to support important features such as aggregate parallel data structures, interaction, and different forms of parallelism.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.

项目成果

期刊论文数量（27）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Program equivalence for assisted grading of functional programs

功能程序辅助评分的程序等效性

DOI：
10.1145/3428239
发表时间：
2020
期刊：
Proceedings of the ACM on Programming Languages
影响因子：
0
作者：
Clune, Joshua;Ramamurthy, Vijay;Martins, Ruben;Acar, Umut A.
通讯作者：
Acar, Umut A.

Parallelism in Randomized Incremental Algorithms

DOI：
10.1145/3402819
发表时间：
2020-10-01
期刊：
JOURNAL OF THE ACM
影响因子：
2.5
作者：
Blelloch, Guy E.;Gu, Yan;Sun, Yihan
通讯作者：
Sun, Yihan

WARDen: Specializing Cache Coherence for High-Level Parallel Languages

WARDen：专门针对高级并行语言的缓存一致性

DOI：
10.1145/3579990.3580013
发表时间：
2023
期刊：
Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization
影响因子：
0
作者：
Wilkins, Michael;Westrick, Sam;Kandiah, Vijay;Bernat, Alex;Suchy, Brian;Deiana, Enrico Armenio;Campanoni, Simone;Acar, Umut A.;Dinda, Peter;Hardavellas, Nikos
通讯作者：
Hardavellas, Nikos

Provably space-efficient parallel functional programming

经证明节省空间的并行函数式编程