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Woo Young Cho

dblp:241/4365 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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 · 91% Energy-efficient computing · 9%

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

TopicWeightPapersLastEvidence papers
Memory systems
memory architecture
0.412019
LL-PCM: Low-Latency Phase Change Memory Architecture · DAC 2019
Memory systems
non-volatile memory
0.412019
LL-PCM: Low-Latency Phase Change Memory Architecture · DAC 2019
Memory systems › non-volatile memory
phase change memory
0.412019
LL-PCM: Low-Latency Phase Change Memory Architecture · DAC 2019
Energy-efficient computing
memory energy efficiency
0.112019
LL-PCM: Low-Latency Phase Change Memory Architecture · DAC 2019
YearPublicationVenuePosition
2019 LL-PCM: Low-Latency Phase Change Memory Architecture
abstract
PCM is a promising non-volatile memory technology, as it can offer a unique trade-off between density and latency compared with DRAM and flash memory. Albeit PCM is much faster than flash memory, it is still notably slower than DRAM, which can significantly degrade system performance. In this paper, we analyze a PCM implementation in depth, and identify the primary cause of PCM's long latency, i.e., a long interconnect (high resistance/capacitance) path between a cell and a sense-amp/write-driver. This in turn requires (1) a very large charge pump consuming: ~20% of PCM chip space, ~50% of latency of write operations, and ~2× more power than a write operation itself; and (2) a large current sense-amp with long time to pre-charge the interconnect path. Then, we propose Low-Latency PCM (LL-PCM) architecture. Our analysis shows that LL-PCM can give 119% higher performance and consume 43% lower memory energy than PCM for memory-intensive applications. LL-PCM is only ~1% larger than PCM, as the cost of reducing the resistance/capacitance of the interconnect path is negated by its 4.1× smaller charge pump.
Nam Sung Kim, Choungki Song, Woo Young Cho, Jian Huang 0006, Myoungsoo Jung
DAC3