Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources

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

doi:10.48550/arxiv.1811.01544

Cited by 1 publication

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“…The storage-side components of the proposed simulator are configured as ULL-Flash instances by leveraging an existing SSD simulator, Amber [15], which is highly reconfigurable (being aware of the details of flash internals, SSD internals and parallelism-related design parameters) and detailed (implementing a full firmware stack and an actual NVMe interface). Our simulator has been verified with an actual 800GB ULL-Flash prototype [55].…”

Section: A Experiments Setupmentioning

confidence: 99%

Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution

Zhang,

Kwon,

Gouk

et al. 2021

Preprint

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Large persistent memories such as NVDIMM have been perceived as a disruptive memory technology, because they can maintain the state of a system even after a power failure and allow the system to recover quickly. However, overheads incurred by a heavy software-stack intervention seriously negate the benefits of such memories. First, to significantly reduce the software stack overheads, we propose HAMS, a hardware automated Memory-over-Storage (MoS) solution. Specifically, HAMS aggregates the capacity of NVDIMM and ultra-low latency flash archives (ULL-Flash) into a single large memory space, which can be used as a working memory expansion or persistent memory expansion, in an OS-transparent manner. HAMS resides in the memory controller hub and manages its MoS address pool over conventional DDR and NVMe interfaces; it employs a simple hardware cache to serve all the memory requests from the host MMU after mapping the storage space of ULL-Flash to the memory space of NVDIMM. Second, to make HAMS more energy-efficient and reliable, we propose an "advanced HAMS" which removes unnecessary data transfers between NVDIMM and ULL-Flash after optimizing the datapath and hardware modules of HAMS. This approach unleashes the ULL-Flash and its NVMe controller from the storage box and directly connects the HAMS datapath to NVDIMM over the conventional DDR4 interface. Our evaluations show that HAMS and advanced HAMS can offer 97% and 119% higher system performance than a software-based NVDIMM design, while costing 41% and 45% lower energy, respectively.

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Section: A Experiments Setupmentioning

confidence: 99%