FoMR: IPC-MASTA: Boosting IPC with Microarchitectural Support for Tightly-Coupled Accelerators
FoMR: IPC-MASTA: Boosting IPC with Microarchitectural Support for Tightly-Coupled Accelerators
批准号:
2010830
负责人:
Mikko Lipasti
金额:
$26.99万
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
项目状态:
已结题
起止时间:
2020-07-01 至 2024-06-30
中文摘要
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英文摘要
Over fifty years of advances in high-performance microprocessors have enabled countless benefits to society, including unprecedented advances in many scientific disciplines and healthcare delivery, improvements in economic efficiency and productivity, new forms of entertainment, and the creation of entirely new industries and business models. However, both the computing industry and semiconductor technology are at a cross-roads, and new approaches are needed to sustain the historical trend of performance increases and overcome the barriers faced by conventional approaches to improving processor performance. A promising approach employed in recent designs has been to integrate function-specific hardware accelerators next to the processor, enabling efficient and high-performance offloading of common, coarse-grained, compute-intensive operations—such as decoding of video data—from the general-purpose CPU. This project will explore an emerging variant of this approach, where the accelerators are designed to perform frequent, fine-grained operations, are coupled tightly to the processor core, and are expected to be more flexible, broadly applicable, and easier to integrate into the software development model familiar to the vast majority of today’s programmers. This research is expected to lead to several practical artifacts along with scientific and conceptual advances that will enable designers of future microprocessors to more easily integrate such accelerators, as well as preparation and training of graduate students with potential for direct technology transfer through their future employment.This project seeks to conduct a detailed study of tightly-coupled accelerators (TCAs), uncovering the trade-offs and complexities of integrating them into modern processors. To date, little has been done to characterize and optimize the many design considerations that can have critical impact on overall processor performance and power consumption. The project will approach this problem in three phases. The initial phase will develop an analytical model for assessing the impact of integrating TCAs in high-performance CPUs. Next, a comprehensive study of the microarchitectural implications of TCAs will uncover key design challenges, opportunities, and novel solutions for integrating TCAs. The final phase will investigate reconfigurable TCAs, which are intended to achieve the seemingly contradictory goals of specialized acceleration as well as broad applicability. The project will investigate several avenues for general-purpose acceleration using our reconfigurable TCA architecture, showing that it is possible to reap the best of both worlds of specialization and generalization without dedicating significant hardware real estate nor design effort.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(10)
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DOI:
10.1109/ispass48437.2020.00045
发表时间:
2020
期刊:
ISPASS Proceedings
影响因子:
--
作者:
[Schlais, David J., Zhuo, Heng, Lipasti, Mikko H.]
通讯作者:
Lipasti, Mikko H.
Value Locality Based Approximation With ODIN
使用 ODIN 进行基于值局部性的近似
DOI:
10.1109/lca.2020.3002542
发表时间:
2020
期刊:
IEEE Computer Architecture Letters
影响因子:
2.3
作者:
[Singh, Rahul, Ravi, Gokul Subramanian, Lipasti, Mikko, Miguel, Joshua San]
通讯作者:
Miguel, Joshua San
Systems-on-Chip with Strong Ordering
具有强排序功能的片上系统
DOI:
10.1145/3428153
发表时间:
2021
期刊:
ACM Transactions on Architecture and Code Optimization
影响因子:
1.6
作者:
[Puthoor, Sooraj, Lipasti, Mikko H.]
通讯作者:
Lipasti, Mikko H.
DOI:
10.1109/dsn-w50199.2020.00016
发表时间:
2019-08
期刊:
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)
影响因子:
--
作者:
[Ravi Raju;Mikko H. Lipasti]
通讯作者:
Ravi Raju;Mikko H. Lipasti
DOI:
10.1109/cases55004.2022.00028
发表时间:
2022-10
期刊:
2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)
影响因子:
--
作者:
[David J. Schlais;Heng Zhuo;Mikko H. Lipasti]
通讯作者:
David J. Schlais;Heng Zhuo;Mikko H. Lipasti
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