The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: ISAV23: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Authors: Burlen Loring and Gunther H. Webber (Lawrence Berkeley National Laboratory (LBNL)); E. Wes Bethel (San Francisco State University, Lawrence Berkeley National Laboratory (LBNL)); and Michael W. Mahoney (Lawrence Berkeley National Laboratory (LBNL); University of California, University of California, Berkeley)
Abstract: The presence of GPUs and accelerators in recent super computing systems, so called heterogeneous architectures, has lead to increased complexity in execution environments and programming models as well as deeper memory hierarchies on these systems. In this work we discuss challenges that arise in in situ code coupling on heterogeneous architectures. We present data and execution model extensions to the SENSEI in situ framework targeted at effective use of systems with heterogeneous architectures. We use the new data and execution model extensions in SENSEI to investigate a number of in situ placement and execution configurations and analyze the impact these choices have on overall performance.