CAREER: Accessible Accelerators: Leveraging Productive Software on Efficient Hardware

职业：无障碍加速器：在高效硬件上利用高效软件

• 批准号: 1943379
• 负责人: Timothy Rogers
• 金额: $ 53.13万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1943379&HistoricalAwards=false
• 关键词: CAREER; Accessible; Accelerators; Leveraging; Productive

The economy of the future relies on software, the people who will write it, and the hardware that will run it. The last several decades have given rise to two opposing trends in the computing industry. At the software level, a desire for simplicity, reusability, and programmer productivity has pushed the level of abstraction in software to higher levels, removing most programmers from the burden of understanding the underlying machine. At the hardware level, the demand for both performance and energy-efficiency has led to the development of programmable hardware accelerators. However, the effort required to port abstract programs to accelerators is a significant barrier to their adoption, particularly for generalist programmers that have little desire to create un-portable, accelerator-specific code. This project aims to address these challenges in tandem by developing novel cross-stack techniques to accelerate productive software on efficient hardware. The project aims to increase the number of individuals and problems that can benefit from energy-efficient, accelerated computing. An integrated education plan introduces K-12 students to acceleration through graphics accelerators and video games while teaching college undergraduates and graduates to think about how problems map to accelerators by thinking spatially.Concretely, this project focuses on ameliorating the overheads associated with well-established software principles that increase programmer productivity and finding innovative ways to improve hardware accelerators to support productive practices. The project first explores new optimization opportunities in massively parallel, object-oriented code where object data layout and the high cost of invoking virtual functions degrade performance. The project will develop lightweight, virtual function elision mechanisms, parallelism-aware compilation passes, an accelerator-aware virtual memory system, and a coordinated cross-stack effort to reduce memory pressure. Finally, the project will explore a full-system solution for productive languages on accelerators, aggregate the project's innovations, and provide an open-source platform to ease accelerator software development.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.

未来的经济依赖于软件，撰写它的人以及将运行它的硬件。过去的几十年中，计算行业的两个相对趋势引起了两种相对的趋势。在软件层面上，对简单性，可重复性和程序员生产率的渴望已将软件中的抽象水平推向了更高级别，从而使大多数程序员从了解基础机器的负担中消除了大多数程序员。在硬件层面上，对性能和能源效率的需求都导致了可编程硬件加速器的发展。但是，向加速器进行摘要程序所需的努力是其采用的重大障碍，尤其是对于一般渴望创建不可商品的，特定于加速器的代码的通才程序员而言。该项目的目的是通过开发新颖的跨堆栈技术来解决这些挑战，以加速生产性软件，以高效的硬件加速生产软件。该项目旨在增加可以从节能，加速计算中受益的个人和问题的数量。一项综合的教育计划在教学大学的本科生和毕业生教学时，通过图形加速器和视频游戏介绍了通过图形加速器和视频游戏的加速，以思考问题如何通过空间思考来映射到加速器的映射。结束，该项目致力于改善与良好的软件原理相关的间接费用，以提高程序员生产力，并为练习提供了不可思议的产品，以改善产品范围的产品来提高产品的加速器。该项目首先探讨了大规模平行，面向对象的代码的新优化机会，其中对象数据布局和调用虚拟功能的高成本降低了性能。该项目将开发轻巧的虚拟功能责任机制，平行性 - 感知汇编，通过促进剂感知的虚拟内存系统以及协调的跨堆栈努力，以减少内存压力。 最后，该项目将探索针对加速器上的生产力语言的全系统解决方案，汇总项目的创新，并提供一个开源平台，以简化加速器软件开发。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子和更广泛影响的评估来评估的支持。

项目成果

Mitigating GPU Core Partitioning Performance Effects

• DOI: 10.1109/hpca56546.2023.10070957
• 发表时间: 2023-02
• 期刊: 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
• 作者: Aaron Barnes;Fangjia Shen;Timothy G. Rogers

A SIMT Analyzer for Multi-Threaded CPU Applications

适用于多线程 CPU 应用的 SIMT 分析器

• DOI: 10.1109/ispass55109.2022.00037
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS
• 作者: Alawneh, Ahmad;Khairy, Mahmoud;Rogers, Timothy G.
• 通讯作者: Rogers, Timothy G.

Judging a type by its pointer: optimizing GPU virtual functions

通过指针判断类型：优化GPU虚拟函数

• DOI: 10.1145/3445814.3446734
• 发表时间: 2021
• 期刊: ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS ’21
• 作者: Zhang, Mengchi;Alawneh, Ahmad;Rogers, Timothy G.
• 通讯作者: Rogers, Timothy G.

Characterizing Massively Parallel Polymorphism

大规模并行多态性的表征

• DOI: 10.1109/ispass51385.2021.00037
• 发表时间: 2021
• 期刊: 2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS
• 作者: Zhang, Mengchi;Alawneh, Ahmad;Rogers, Timothy G.
• 通讯作者: Rogers, Timothy G.

SIMR: Single Instruction Multiple Request Processing for Energy-Efficient Data Center Microservices

SIMR：节能数据中心微服务的单指令多请求处理

• DOI: 10.1109/micro56248.2022.00040
• 发表时间: 2022
• 期刊: 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO
• 作者: Khairy, Mahmoud;Alawneh, Ahmad;Barnes, Aaron;Rogers, Timothy G.
• 通讯作者: Rogers, Timothy G.