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Research focuses on temperature and power/energy consumption problems in 2-D and 3-D multi-core platforms. Investigates power and thermal models, non-even heat distribution, dynamic thermal management, real-time scheduling, and power-aware, thermal-aware, and temperature-aware design methodologies. Utilizes application tools like HotSpot simulator, Wattch simulator, and SimpleScalar for cycle-level analysis. Presents research results on Intel Single-chip Cloud Computer System, emphasizing throughput maximization under peak temperature constraints and feasibility analysis for temperature-constrained real-time scheduling on multi-core platforms.
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Research Name: temperature and power or energy consumptionproblem on 2-D and 3-D multi-core platform Researcher: Shi Sha Advisor: Gang Quan ARCS Lab Department of Electrical and Computer Engineering Florida International University
Problem Formulation and Justification Power Model Thermal Model Non-even Heat Distribution
Methodology Dynamic Thermal Management (DTM) Real-time Scheduling Power-aware design Thermal-aware design Temperature-aware design
Application Tools Hotspot Simulator Wattchsimulator and Simple-scalar : cycle-level analysis
Research Result Power and Energy Analysis on Intel Single-chip Cloud Computer System Throughput Maximization Under Peak Temperature Constraints Feasibility Analysis for Temperature Constrained Real-Time Scheduling on Multi-core Platform
