Heterogeneous Thinking

异质思维

• 批准号: EP/R016690/1
• 负责人: Michael O'Boyle
• 金额: $ 136.96万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR016690%2F1
• 关键词: Heterogeneous; Thinking

In 1965 Gordon Moore observed that the number of components on a computer chip doubles every 18 months. For almost 50 years we have enjoyed this exponentially increasing computer power. This has transformed society, heralding today's computer-age.This growth is based on a fundamental contract between hardware and software that until recently has rarely been questioned. The contract is: hardware may change radically "under the hood", but the code you ran on yesterday's machine will run just the same on tomorrow's - but even faster. Hardware may change, but it looks the same to software, always speaking the same language. This common, consistent language allows the decoupling of software development from hardware development. It has allowed programmers to invest significant effort in software development, secure in the knowledge that it will have decades of use. Alarmingly, this contract will begin to fall apart,putting in jeopardy the massive investment in software.The reason for the breakdown is due to the end of Moore's Law. Technology can no longer be relied upon to scale smaller and provide performance; the end of Moore's Law is beginning to force new approaches to computer design. The cost of maintaining the common consistent language contract is enormous. If we break the contract and develop specialised hardware, there is potentially a 10,000 x massive performance gain available. For this reason, it is clear thatin future, hardware will be increasingly specialised and heterogeneous. Currently, however, there is no clear way of programming and using such hardware.As it stands, either hardware evolution will stall as software cannot fit or software will be unable to exploit hardware innovation. Such a crisis requires a fundamental re-think of how we design, program and use heterogeneous systems. What we need is an approach that liberates hardware from the uniform language contract and efficiently connects existing and future software to the emerging heterogeneous landscape. This project proposes a way of doing this by re-thinking how we connect software and hardware by a more flexible language interface which can change from one processor to the next. It allows existing software to use future hardware and allows hardware innovation to connect to new and emerging applications areas such robotics, augmented reality and deep learning. If successful, it will usher in an era of change in systems design where, rather than deny and fear the end ofMoore's law, we embrace and exploit it.

1965 年，戈登·摩尔 (Gordon Moore) 观察到，计算机芯片上的组件数量每 18 个月就会增加一倍。近 50 年来，我们一直享受着指数级增长的计算机能力。这改变了社会，预示着当今的计算机时代。这种增长是基于硬件和软件之间的基本契约，直到最近，这种契约还很少受到质疑。合同是：硬件可能会在“引擎盖下”发生根本性的变化，但您在昨天的机器上运行的代码将在明天的机器上运行相同 - 但甚至更快。硬件可能会改变，但软件看起来是一样的，总是说同样的语言。这种通用、一致的语言允许将软件开发与硬件开发分离。它使程序员可以在软件开发上投入大量精力，并确信它可以使用数十年。令人担忧的是，这份合同将开始崩溃，使对软件的大量投资陷入危险。崩溃的原因是摩尔定律的终结。不能再依赖技术来缩小规模并提供性能；摩尔定律的终结开始迫使计算机设计采用新的方法。维护共同一致的语言契约的成本是巨大的。如果我们打破合同并开发专用硬件，则可能会获得 10,000 倍的巨大性能提升。因此，很明显，未来硬件将越来越专业化和异构化。然而，目前还没有明确的方法来编程和使用此类硬件。就目前情况而言，要么硬件发展将因软件无法适应而停滞，要么软件将无法利用硬件创新。这样的危机需要我们从根本上重新思考如何设计、编程和使用异构系统。我们需要一种方法，将硬件从统一的语言契约中解放出来，并将现有和未来的软件有效地连接到新兴的异构环境。该项目提出了一种方法，通过重新思考如何通过更灵活的语言接口连接软件和硬件，该语言接口可以从一个处理器更改为下一个处理器。它允许现有软件使用未来的硬件，并允许硬件创新连接到机器人、增强现实和深度学习等新兴应用领域。如果成功，它将迎来系统设计变革的时代，我们不再否认和担心摩尔定律的终结，而是拥抱并利用它。

项目成果

Automatically harnessing sparse acceleration

• DOI: 10.1145/3377555.3377893
• 发表时间: 2020-01
• 期刊: Proceedings of the 29th International Conference on Compiler Construction
• 作者: Philip Ginsbach;Bruce Collie;M. O’Boyle

Modeling black-box components with probabilistic synthesis

通过概率综合对黑盒组件进行建模

• DOI: 10.1145/3425898.3426952
• 发表时间: 2020
• 作者: Collie B

CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics

• DOI: 10.1109/dac18074.2021.9586114
• 发表时间: 2021-12
• 期刊: 2021 58th ACM/IEEE Design Automation Conference (DAC)
• 作者: Siying Feng;Jiawen Sun;S. Pal;Xin He;Kuba Kaszyk;Dong-hyeon Park;J. Morton;T. Mudge;M. Cole;M. O’Boyle;C. Chakrabarti;R. Dreslinski

SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding

• DOI: 10.1109/icra.2019.8794369
• 发表时间: 2019-05
• 期刊: 2019 International Conference on Robotics and Automation (ICRA)
• 作者: Mihai Bujanca;Paul Gafton;Sajad Saeedi;A. Nisbet;Bruno Bodin;M. O’Boyle;A. Davison;P. Kelly;G. Riley;B. Lennox;M. Luján;S. Furber

Program Lifting using Gray-Box Behavior

使用灰盒行为进行程序提升

• DOI: 10.1109/pact52795.2021.00012
• 发表时间: 2021
• 作者: Collie B