Know Your Workloads: Design more efficient systems! Learn more about at the session at ARM TechCon 2016.

Designing and optimizing computer systems in terms of performance, energy consumption, reliability and other metrics has become extremely complex and costly due to an ever growing number of design and optimization choices, lack of common performance analysis and optimization methodology, and lack of common ways to reuse and grow optimization knowledge.

Grigori Fursin, CTO at dividiti and Ed Plowman, Director of Performance Analysis Strategy of ARM will present the Workload Knowledge, an open framework for gathering and sharing knowledge about system design and optimization using real-world workloads. Powered by 3 open-source projects (ARM's Workload Automation, cTuning's Collective Knowledge and Jupyter Notebooks), Workload Knowledge will dramatically accelerate innovation in computer engineering and lead to designing highly efficient systems.