Numerical Methods for Efficient Simulations and Analysis of Circuits with Separated Time Scales
Abstract not provided.
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Jump to search filtersEnsemble Analysis of Electrical Circuit Simulations
Abstract not provided.
GPU Acceleration of Data Assembly in Finite Element Methods and Its Energy Implications
Abstract not provided.
SST Overview
Abstract not provided.
SST%2Bgem5%3DA Scalable Simulation Infrastructure for High Performance Computing
Abstract not provided.
A framework for architecture-level power area and thermal simulation and its application to network-on-chip design exploration
SIGMETRICS Performance Evaluation Review
Abstract not provided.
System Implications of Memory Reliability in Exascale Computing
Abstract not provided.
A scalable simulation framework for evaluating thermal management techniques and the lifetime reliability of multithreaded multicore systems
2011 International Green Computing Conference and Workshops, IGCC 2011
It has become increasingly challenging to understand supercomputers behavior and performance as they grow. New hurdles in scalability, programmability, power consumption, reliability, cost, and cooling are emerging. This paper introduces the integrated power, area, temperature, reliability modeling framework in the open, modular, multiscale, parallel Structural Simulation Toolkit (SST) to help evaluate new technologies and guide design of future computers. In this study, the simulation framework is used to evaluate different dynamic thermal management techniques, in terms of power, temperature and reliability, on multicore systems running multithreaded and more irregular applications. Simulation results shed some new light on application-aware, performance/power efficient thermal and reliability management policies of multithreaded multicore systems. © 2011 IEEE.
SST: A Scalable Parallel Framework for Architecture-Level Performance Power Area and Thermal Simulation
The Computer Journal
Abstract not provided.
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