Meeting the performance, energy–efficiency, and resilience requirements of systems and applications at all scales from embedded to exascale will require rapid, accurate, and dynamic evaluation of tradeoffs. To provide these capabilities, significant advances in predictive modeling and simulation methods are needed. Models are key tools in the area of application/system co–design. As applications and systems evolve, models must be able to track ongoing complex changes and predict the impact of developments in both software and hardware design. While today′s methods tend to focus on application performance as the metric of concern, modeling methods must evolve to consider performance, power consumption, and reliability in concert. It is critical to develop tools and techniques that will allow modeling capability to spread into the larger computational science community where it will have the greatest possible impact. Simulation and emulation capabilities must also expand along multiple directions, including scalability improvements, interoperability, support for system design from embedded to the extreme scale, and interfaces with modeling tools.<br>As part of the process, we solicit community input, in the form of position papers that describe novel research approaches for performance modeling and simulation at extreme scales. Position papers should address one or more of the following areas.<br>1. Integrated Modeling and Simulation of Performance, Power and Reliability<br>Both integrated modeling of multiple physical phenomena and the ability to capture the impact on the architecture and applications are significant challenges.<br>Position papers are encouraged that address: 1) modeling and understanding of the relationships between physical phenomena, such as temperature, energy, power, and reliability, and their impact on devices; 2) their impact at the microarchitecture and system levels; and 3) how modeling can help to maximize system–level performance and power attributes; 4) novel techniques and ideas for modeling of performance, power/energy, and reliability in an unified fashion<br>2. Standards, Integration, and Interoperability of ModSim Methodologies and Tools.<br>Without interoperable, best–practice–based, validated models, ModSim risks becoming an expensive process whose actual development may exceed a useful timeframe compared to the lifespan of systems. We are seeking white paper contributions related to many aspects of this topic: interfaces, best practices, how different methodologies can cooperate, verification and validation in support of interoperability, integration of modsim for various layers of the HW–SW stack, just to name a few.<br>
Abbrevation
MODSIM
City
SeattleWA
Country
United States
Deadline Paper
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