Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8603
Title: | Metasys: a Practical Open-Source Metadata Management System To Implement and Evaluate Cross-Layer Optimizations | Authors: | Vijaykumar, Nandita Olgun, Ataberk Kanellopoulos, Konstantinos Bostancı, Fatma Nisa Hassan, Hasan Lotfi, Mehrshad Mutlu, Onur |
Keywords: | Hardware-software cooperation metadata memory RISC-V open-source Architectural Support Multi-Core Memory Hardware Performance Efficient Fairness Placement Safety Cost |
Publisher: | Assoc Computing Machinery | Source: | Vijaykumar, N., Olgun, A., Kanellopoulos, K., Bostanci, F. N., Hassan, H., Lotfi, M., ... & Mutlu, O. (2022). MetaSys: A Practical Open-source Metadata Management System to Implement and Evaluate Cross-layer Optimizations. ACM Transactions on Architecture and Code Optimization (TACO), 19(2), 1-29. | Abstract: | This article introduces the first open-source FPGA-based infrastructure, MetaSys, with a prototype in a RISC-V system, to enable the rapid implementation and evaluation of a wide range of cross-layer techniques in real hardware. Hardware-software cooperative techniques are powerful approaches to improving the performance, quality of service, and security of general-purpose processors. They are, however, typically challenging to rapidly implement and evaluate in real hardware as they require full-stack changes to the hardware, system software, and instruction-set architecture (ISA). MetaSys implements a rich hardware-software interface and lightweight metadata support that can be used as a common basis to rapidly implement and evaluate new cross-layer techniques. We demonstrate MetaSys's versatility and ease-of-use by implementing and evaluating three cross-layer techniques for: (i) prefetching in graph analytics; (ii) bounds checking in memory unsafe languages, and (iii) return address protection in stack frames; each technique requiring only similar to 100 lines of Chisel code over MetaSys. Using MetaSys, we perform the first detailed experimental study to quantify the performance overheads of using a single metadata management system to enable multiple cross-layer optimizations in CPUs. We identify the key sources of bottlenecks and system inefficiency of a general metadata management system. We design MetaSys to minimize these inefficiencies and provide increased versatility compared to previously proposed metadata systems. Using three use cases and a detailed characterization, we demonstrate that a common metadata management system can be used to efficiently support diverse cross-layer techniques in CPUs. MetaSys is completely and freely available at https://github.com/CMU-SAFARI/MetaSys. | URI: | https://doi.org/10.1145/3505250 https://hdl.handle.net/20.500.11851/8603 |
ISSN: | 1544-3566 1544-3973 |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
WEB OF SCIENCETM
Citations
2
checked on Dec 21, 2024
Page view(s)
102
checked on Dec 16, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.