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Sangkyu Yoon

dblp:198/3983 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Systems, architecture and hardware · 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 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems
DRAM
0.312017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
Memory systems › DRAM
DRAM refresh
0.312017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
Memory systems
hybrid memory
0.312017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
Memory systems
main memory
0.312017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
Memory systems › DRAM › DRAM refresh
retention-aware refresh
0.312017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
Memory systems
non-volatile memory
0.112017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
Memory systems › non-volatile memory
storage class memory
0.112017
Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM · IEEE Trans. Computers 2017
YearPublicationVenuePosition
2017 Retention-Aware Hybrid Main Memory (RAHMM): Big DRAM and Little SCM
abstract
Hybrid memory comprised of a big SCM and a little DRAM (BSLD) is widely studied to address the growing power consumption challenge of pure DRAM. However, the performance degradation, limited endurance and immature mass production of ultra-high-density SCM are still the painful points of BSLD. Here we propose a Retention-Aware Hybrid Main Memory (RAHMM) architecture with a big DRAM and a little SCM (BDLS) for the first time. DRAM is refreshed at a much longer interval by using SCM to store the small quantity of leaky tail bits in DRAM. A two-step search technology combined with outcome forecasting is put forward to get ultra-fast read access, as well as to diminish the power and performance overheads. A hidden buffer strategy (HBS) is proposed to optimize write performance and endurance hurt. The experimental results show 45 percent reduction of power consumption and 30 percent performance optimization, which are significantly improved compared to that of both serial and parallel BSLD with a counterpart capacity
Weiliang Jing, Yinyin Lin, Beomseop Lee, Sangkyu Yoon, Yuan Du, Bomy Chen
IEEE Trans. Computers5