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Shun-Chih Yu

dblp:142/3199 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
non-volatile memory
0.212014
NVM duet: unified working memory and persistent store architecture · ASPLOS 2014
Memory systems › non-volatile memory
persistent data structures
0.212014
NVM duet: unified working memory and persistent store architecture · ASPLOS 2014
Memory systems › non-volatile memory
persistent memory
0.212014
NVM duet: unified working memory and persistent store architecture · ASPLOS 2014
Memory systems
DRAM
0.112014
NVM duet: unified working memory and persistent store architecture · ASPLOS 2014
YearPublicationVenuePosition
2015 Fine-grained write scheduling for PCM performance improvement under write power budget
abstract
Phase-change memory (PCM) has gained much attention recently since it offers several advantages over DRAM, such as high cell density and low leakage power. PCM has similar read power and latency as DRAM; however, its write power and latency are significantly higher than DRAM. Therefore, one challenge with PCM is how to increase write throughput under write power budget constraints. To increase write concurrency, PCM often adopts division programming, where a write occurs in a series of divisions, so that writes to different banks proceed concurrently. In this study, we observe that since the write scheduling granularity in the memory controller differs from the actual write granularity in PCM chips, i.e., requests vs. divisions, the available power budget cannot be fully utilized. We therefore propose enhancing the interface between the memory controller and PCM chips to allow the memory controller to schedule writes in the division granularity. To further increase power budget utilization, we design a variable-length division mechanism to allow the division granularity to be adjusted at runtime according to the available write power budget. Our experimental results show that these techniques improve system performance by up to 65%.
Chun-Hao Lai, Shun-Chih Yu, Chia-Lin Yang, Hsiang-Pang Li
ISLPED2
2014 NVM duet: unified working memory and persistent store architecture
abstract
Emerging non-volatile memory (NVM) technologies have gained a lot of attention recently. The byte-addressability and high density of NVM enable computer architects to build large-scale main memory systems. NVM has also been shown to be a promising alternative to conventional persistent store. With NVM, programmers can persistently retain in-memory data structures without writing them to disk. Therefore, one can envision that in the future, NVM will play the role of both working memory and persistent store at the same time.
Ren-Shuo Liu, De-Yu Shen, Chia-Lin Yang, Shun-Chih Yu, Cheng-Yuan Michael Wang
ASPLOS4