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Yu-Shiang Chien

dblp:154/6188 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—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
Embedded and real-time systems · 79% Memory systems · 21%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems › embedded software › embedded operating systems
embedded memory management
0.212014
CASA: Contention-Aware Scratchpad Memory Allocation for Online Hybrid On-Chip Memory Management · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
Embedded and real-time systems › embedded software › embedded operating systems › embedded memory management
scratchpad memory allocation
0.212014
CASA: Contention-Aware Scratchpad Memory Allocation for Online Hybrid On-Chip Memory Management · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
Memory systems
cache
0.112014
CASA: Contention-Aware Scratchpad Memory Allocation for Online Hybrid On-Chip Memory Management · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
Memory systems › cache
cache miss reduction
0.112014
CASA: Contention-Aware Scratchpad Memory Allocation for Online Hybrid On-Chip Memory Management · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
Embedded and real-time systems
energy-efficient embedded systems
0.112014
CASA: Contention-Aware Scratchpad Memory Allocation for Online Hybrid On-Chip Memory Management · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2014
YearPublicationVenuePosition
2014 CASA: Contention-Aware Scratchpad Memory Allocation for Online Hybrid On-Chip Memory Management
abstract
Scratchpad memory (SPM) has been increasingly used in embedded systems due to its higher efficiency in terms of energy and area compared to that of ordinary cache. A hybrid on-chip memory architecture that combines SPM with a mini-cache has been proposed. One key issue for hybrid on-chip memory architectures is to reduce the number of off-chip memory accesses and energy consumption. Existing methods achieve this by moving the most frequently accessed data into SPM. However, these methods may be ineffective because the main source of off-chip memory accesses may not be the most frequently accessed data. Instead, most off-chip memory accesses are caused by cache misses, so reducing the latter will reduce the former. Cache misses are mainly caused by data contending for cache lines. Therefore, this paper proposes a contention-aware SPM allocation method for hybrid on-chip management. The number of cache misses for a page is used as a metric to determine whether a page should be moved to SPM. When the number of misses for a page exceeds a threshold, the page is moved to SPM, reducing cache contention. Experimental results show that the proposed method can reduce the energy delay product by 35% to 53% compared to a cache-only on-chip memory architecture and 19% to 31% compared to an existing hybrid on-chip memory architecture.
Da-Wei Chang, Ing-Chao Lin, Yu-Shiang Chien, Ching-Lun Lin, Alvin Wen-Yu Su, Chung-Ping Young
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3