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Cooperative game-theoretic runtime prediction and contention-aware partitioning for heterogeneous embedded systems

delete2026-06-13
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PRE
AI
S
Shao Deng
S
ShanZhu Xiao *
H
HuaMin Tao
J
JianXiong Zhou
DOI：10.1016/j.sysarc.2026.103891delete
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Abstract

Abstract

En 中文
• Game-theoretic framework predicts runtime for heterogeneous systems. • Queueing models capture stochastic contention and physical constraints. • Shapley values quantify interaction penalties and marginal contributions. • Partitioning strategy uses analytical insights to optimize efficiency. • Method yields 5.69% error and 34.7% efficiency gain on multi-chiplet platform.

Journal

Journal of Systems Architecture cover
Journal of Systems Architecture
IF:
4.1
Papers:
2.9K
Citations:
4.2K

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