Collaborative Research: PPoSS: Planning: Unifying Software and Hardware to Achieve Performant and Scalable Zero-cost Parallelism in the Heterogeneous Future

协作研究:PPoSS:规划:统一软件和硬件以在异构未来实现高性能和可扩展的零成本并行

基本信息

  • 批准号:
    2028851
  • 负责人:
  • 金额:
    $ 12.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-10-01 至 2023-09-30
  • 项目状态:
    已结题

项目摘要

Exploiting parallelism is essential to making full use of computer systems, and thus is intrinsic to most applications. Building parallel programs that can truly achieve the performance the hardware is capable of is extremely challenging even for experts. It requires a firm grasp of concepts that range from the very highest level to the very lowest, and that range is rapidly expanding. This project approaches this challenge along two lines, "theory down" and "architecture up". The first strives to simplify parallel programming through languages and algorithms. The second line strives to accelerate parallel programs through compilers, operating systems, and the hardware. The project's novelty is to bridge these two lines, which are usually treated quite distinctly by the research community. The unified team of researchers is addressing a specific subproblem, scheduling, and then determining how to expand out from it. The project's impact is in making it possible for ordinary programmers to program future parallel systems in a very high-level way, yet achieve the performance possible on the machine.The project studies an "intermediate representation out" approach to making high-level parallel abstractions implementable so that they can be used with zero cost. A core idea is to expand the compiler's intermediate representation such that it can capture both high-level parallel concepts and low-level machine and operating system structures, thus allowing full stack optimization. This planning project will flesh out this concept and set the stage for a larger scale effort in the future.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.
利用并行性是充分利用计算机系统的必要条件,因此也是大多数应用程序的内在要求。即使对专家来说,构建能够真正实现硬件性能的并行程序也是极具挑战性的。它需要牢牢掌握从最高水平到最低水平的各种概念,而这个范围正在迅速扩大。这个项目沿着两条线来应对这个挑战,“理论向下”和“建筑向上”。第一种是通过语言和算法来简化并行编程。第二行致力于通过编译器、操作系统和硬件加速并行程序。这个项目的新奇之处在于它将这两条线连接起来,而这两条线通常被研究界区别对待。统一的研究团队正在解决一个特定的子问题,调度,然后确定如何从它扩展。该项目的影响是使普通程序员能够以非常高级的方式对未来的并行系统进行编程,同时在机器上实现可能的性能。该项目研究了一种“中间表示输出”方法,使高级并行抽象可实现,从而可以零成本地使用它们。核心思想是扩展编译器的中间表示,使其既能捕获高级并行概念,又能捕获低级机器和操作系统结构,从而实现全栈优化。这个规划项目将充实这一概念,并为未来更大规模的努力奠定基础。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
NOELLE Offers Empowering LLVM Extensions
NOELLE 提供强大的 LLVM 扩展
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
Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows
简约:在标准编译器流程中启用 SIMD/向量编程
Coalescent computing
Program State Element Characterization
程序状态元素表征
  • DOI:
    10.1145/3579990.3580011
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Deiana, Enrico Armenio;Suchy, Brian;Wilkins, Michael;Homerding, Brian;McMichen, Tommy;Dunajewski, Katarzyna;Dinda, Peter;Hardavellas, Nikos;Campanoni, Simone
  • 通讯作者:
    Campanoni, Simone
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Peter Dinda其他文献

The CMU Task Parallel Program SuitePeter
CMU 任务并行程序套件Peter
  • DOI:
  • 发表时间:
    1994
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Peter Dinda;T. Gross;David O 'hallaron;Edward Segall;J. Stichnoth;J. Subhlok;Jon Webb;Bwolen Yang
  • 通讯作者:
    Bwolen Yang
Getting a Handle on Unmanaged Memory
处理非托管内存
Compiling Loop-Based Nested Parallelism for Irregular Workloads
为不规则工作负载编译基于循环的嵌套并行性

Peter Dinda的其他文献

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{{ truncateString('Peter Dinda', 18)}}的其他基金

CNS Core: Medium: A Systems and User-based Approach to Floating Point Correctness and Resilience
CNS 核心:中:基于系统和用户的浮点正确性和弹性方法
  • 批准号:
    2211315
  • 财政年份:
    2022
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant
Collaborative Research: CNS Core: Medium: The Privacy Backplane - A Full Stack Approach to Individualized Privacy Controls Throughout the Internet-of-Things
合作研究:CNS 核心:媒介:隐私背板 - 整个物联网个性化隐私控制的全栈方法
  • 批准号:
    2211508
  • 财政年份:
    2022
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant
Collaborative Research: PPoSS: LARGE: Unifying Software and Hardware to Achieve Performant and Scalable Frictionless Parallelism in the Heterogeneous Future
合作研究:PPoSS:大型:统一软件和硬件,在异构未来实现高性能和可扩展的无摩擦并行
  • 批准号:
    2119069
  • 财政年份:
    2021
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant
CSR: Medium: Collaborative Research: Interweaving the Parallel Software/Hardware Stack
CSR:媒介:协作研究:并行软件/硬件堆栈的交织
  • 批准号:
    1763743
  • 财政年份:
    2018
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant
XPS: EXPL: CCA: Merging Parallel Run-times and Operating Systems
XPS:EXPL:CCA:合并并行运行时和操作系统
  • 批准号:
    1533560
  • 财政年份:
    2015
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Model-based Autonomic Cloud Computing Software Technology
EAGER:协作研究:基于模型的自主云计算软件技术
  • 批准号:
    1265347
  • 财政年份:
    2013
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Standard Grant
Student Travel Support For ACM HPDC 2010; June 2010; Chicago, IL
ACM HPDC 2010 学生旅行支持;
  • 批准号:
    1026810
  • 财政年份:
    2010
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Standard Grant
Collaborative Research: CRI: CRD: An Open Source Extensible Virtual Machine Monitor
协作研究:CRI:CRD:开源可扩展虚拟机监视器
  • 批准号:
    0709168
  • 财政年份:
    2007
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant
Collaborative Research: NeTS-NOSS: Sensor Network Synthesis - Opening the Use of Wireless Sensor Networks to Application Experts
合作研究:NeTS-NOSS:传感器网络综合 - 向应用专家开放无线传感器网络的使用
  • 批准号:
    0721978
  • 财政年份:
    2007
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant
CSR-PDOS: Optimizing the Client/Server Environment Subject to User Satisfaction
CSR-PDOS:根据用户满意度优化客户端/服务器环境
  • 批准号:
    0720691
  • 财政年份:
    2007
  • 资助金额:
    $ 12.83万
  • 项目类别:
    Continuing Grant

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协作研究:PPoSS:大型:大规模声明性分析的全栈方法
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    2316161
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