Amber∗: Enabling precise full-system simulation with detailed modeling of all ssd resources

Donghyun Gouk, Miryeong Kwon, Jie Zhang, Sungjoon Koh, Wonil Choi, Nam Sung Kim, Mahmut Kandemir, Myoungsoo Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)


SSDs become a major storage component in modern memory hierarchies, and SSD research demands exploring future simulation-based studies by integrating SSD subsystems into a full-system environment. However, several challenges exist to model SSDs under a full-system simulations; SSDs are composed upon their own complete system and architecture, which employ all necessary hardware, such as CPUs, DRAM and interconnect network. Employing the hardware components, SSDs also require to have multiple device controllers, internal caches and software modules that respect a wide spectrum of storage interfaces and protocols. These SSD hardware and software are all necessary to incarnate storage subsystems under full-system environment, which can operate in parallel with the host system. In this work, we introduce a new SSD simulation framework, SimpleSSD 2.0, namely Amber, that models embedded CPU cores, DRAMs, and various flash technologies (within an SSD), and operate under the full system simulation environment by enabling a data transfer emulation. Amber also includes full firmware stack, including DRAM cache logic, flash firmware, such as FTL and HIL, and obey diverse standard protocols by revising the host DMA engines and system buses of a popular full system simulator's all functional and timing CPU models (gem5). The proposed simulator can capture the details of dynamic performance and power of embedded cores, DRAMs, firmware and flash under the executions of various OS systems and hardware platforms. Using Amber, we characterize several system-level challenges by simulating different types of full-systems, such as mobile devices and general-purpose computers, and offer comprehensive analyses by comparing passive storage and active storage architectures.

Original languageEnglish
Title of host publicationProceedings - 51st Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2018
PublisherIEEE Computer Society
Number of pages13
ISBN (Electronic)9781538662403
Publication statusPublished - 2018 Dec 12
Event51st Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2018 - Fukuoka, Japan
Duration: 2018 Oct 202018 Oct 24

Publication series

NameProceedings of the Annual International Symposium on Microarchitecture, MICRO
ISSN (Print)1072-4451


Other51st Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2018

Bibliographical note

Funding Information:
This research is mainly supported by NRF 2016R1C1B2015312, DOE DEAC02-05CH11231, IITP-2018-2017-0-01015, NRF 2015M3C4A7065645, Yonsei Future Research Grant (2017-22-0105) and MemRay grant (2015-11-1731). The authors thank Samsungs Jaeheon Jeong, Jongyoul Lee, Se-Jeong Jang and JooYoung Hwang for their SSD sample donations. N.S. Kim is supported in part by grants from NSF CNS-1557244 and CNS-1705047. M. Kandemir is supported in part by grants by NSF grants 1822923, 1439021, 1629915, 1626251, 1629129, 1763681, 1526750 and 1439057. The simulator is designed, developed, and maintained by Computer Architecture and MEmory systems Laboratory (CAMELab). Myoungsoo Jung is the corresponding author.

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture


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