· Contributors · Organizations · Search
Invited Position Paper: A Pathway to Achieve the Holy Grail for Efficient Quantitative Co-Design Systems
DescriptionToday, many supercomputing organizations perform system evaluation and analysis for multiple reasons from managing system services to application performance analysis to long term system co-design. Often different data and tools are used. But within sight is now the ability to use high fidelity, continuously collected system wide data collection, combined with vendor independent, community SW tools to do real-time system management, application performance improvements all the way to long term Quantitative Co-Design. When merged with models and/or kernels of the next generation of applications and methods, we may be able to rapidly and fully evaluate many configuration and systems to optimize the next generation technologies.
Extreme Scale Computing
HPC Community Collaboration
Machine Learning and Artificial Intelligence
Resource Management and Scheduling