TY - JOUR
T1 - A Framework for Architecture-Level Power, Area, Thermal Simulation and Its Application to Network-on-Chip Design Exploration
AU - Hsieh, Ming Yu
AU - Rodrigues, Arun F.
AU - Riesen, Rolf
AU - Thompson, Kevin
AU - Song, William Jinho
PY - 2011/3
Y1 - 2011/3
N2 - We describe the integrated power, area and thermal modeling framework in the Structural Simulation Toolkit (SST) for large-scale high performance computer simulation. It integrates various power and thermal modeling tools and computes run-time energy dissipation for core, network on chip, memory controller and shared cache. It also has functionality to update the leakage power as temperature changes. We illustrate the utilization of the framework by applying it to explore interconnect options in manycore systems with consideration of temperature variation and leakage feedback. We compare power, energy-delay-area product (EDAP), and energy-delay product (EDP) of four manycore configurations - 1 core, 2 cores, 4 cores and 8 cores per cluster. Results from simulation with or without consideration of temperature variation both show that the 4-core per cluster configuration has the best EDAP and EDP. Even so, considering temperature variation increases total power dissipation. We demonstrate the importance of considering temperature variation in the design flow. With this power, area and thermal modeling capability, SST can be used for hardware/software co-design of future Exascale systems.
AB - We describe the integrated power, area and thermal modeling framework in the Structural Simulation Toolkit (SST) for large-scale high performance computer simulation. It integrates various power and thermal modeling tools and computes run-time energy dissipation for core, network on chip, memory controller and shared cache. It also has functionality to update the leakage power as temperature changes. We illustrate the utilization of the framework by applying it to explore interconnect options in manycore systems with consideration of temperature variation and leakage feedback. We compare power, energy-delay-area product (EDAP), and energy-delay product (EDP) of four manycore configurations - 1 core, 2 cores, 4 cores and 8 cores per cluster. Results from simulation with or without consideration of temperature variation both show that the 4-core per cluster configuration has the best EDAP and EDP. Even so, considering temperature variation increases total power dissipation. We demonstrate the importance of considering temperature variation in the design flow. With this power, area and thermal modeling capability, SST can be used for hardware/software co-design of future Exascale systems.
M3 - Article
SN - 0163-5999
VL - 38
SP - 63
EP - 68
JO - Performance Evaluation Review
JF - Performance Evaluation Review
IS - 4
ER -