Runtimes Systems for Extreme Heterogeneity: Challenges and Opportunities
DescriptionThe goal of this panel is to discuss the latest runtime evolution and the impact on applications. Advances in this matter are key to executing science workflows and understanding their results, enabling efficient execution on diverse platforms, ensuring scalability of high-level descriptions of analytics workflows, and increasing user productivity and system utilization. In other words, how easily and rapidly a science team can develop or port a workflow to a new platform, and how well the resulting implementation makes use of the platform and its resources.
Our panel includes a large number of different runtimes. Examples of these are OpenMP, OpenACC, SYCL, COMPS, PaRSEC, OmpSs, and StarPU. This is a great opportunity to bring together some of the most important and widely used runtimes and programming models, and present/discuss the latest efforts on each of them and the different perspectives to face the challenges of the upcoming extreme heterogeneity era.
Our panel includes a large number of different runtimes. Examples of these are OpenMP, OpenACC, SYCL, COMPS, PaRSEC, OmpSs, and StarPU. This is a great opportunity to bring together some of the most important and widely used runtimes and programming models, and present/discuss the latest efforts on each of them and the different perspectives to face the challenges of the upcoming extreme heterogeneity era.
Event Type
Panel
TimeWednesday, 16 November 20221:30pm - 3pm CST
LocationC155-156
TP
XO/EX
Data Analytics
Scientific Computing
Recorded
Archive
view
Moderators
Panelists
