Optimizing energy efficiency of 3-D multicore systems with stacked DRAM under power and thermal constraints

3D multicore systems with stacked DRAM have the potential to boost system performance significantly; however, this performance increase may cause 3D systems to exceed the power budget or create thermal hot spots. This paper introduces a framework to model on-chip DRAM accesses and analyzes performan...

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Bibliographic Details
Main Authors: Meng, Jie, Kawakami, Katsutoshi, Coskun, Ayse K.
Format: Conference Proceeding
Language:English
Subjects:
3D multicore system
Benchmark testing
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
energy efficiency
Multicore processing
Optimization
Random access memory
Runtime
Solid modeling
System-on-a-chip
thermal management
Online Access:Request full text
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Summary:3D multicore systems with stacked DRAM have the potential to boost system performance significantly; however, this performance increase may cause 3D systems to exceed the power budget or create thermal hot spots. This paper introduces a framework to model on-chip DRAM accesses and analyzes performance, power, and temperature tradeoffs of 3D systems. We propose a runtime optimization policy to maximize performance while maintaining power and thermal constraints. Our policy dynamically monitors workload behavior and selects among low-power and turbo operating modes accordingly. Experiments with multithreaded workloads demonstrate up to 49% energy efficiency improvements compared to existing thermal management policies.
ISSN:0738-100X
DOI:10.1145/2228360.2228477