![]() To learn more about the largest-known in situ simulation run, SC16 attendees can visit the Kitware booth during the conference exhibition from November 14 to November 17, 2016. MDT in room 355-D of the Salt Palace Convention Center. The session will take place on Thursday, November 17, 2016, from 4:00 p.m. Bethel will discuss the paper at the State-of-the-Practice: System Characterization and Design session at the conference. Jansen, Burlen Loring, Zarija Lukić, Suresh Menon, Dmitriy Morozov, Patrick O’Leary, Reetesh Ranjan, Michel Rasquin, Christopher P. Duque, Greg Eisenhauer, Nicola Ferrier, Junmin Gu, Kenneth E. As well as Bauer, authors on the paper include Utkarsh Ayachit, Earl P. The paper, “Performance Analysis, Design Considerations, and Applications of Extreme-scale In Situ Infrastructures,” reviews in situ computation and shares additional results of the largest-known in situ simulation run. The SC16 presentation will complement a paper that team members wrote with collaborators for the conference. With these updates, the team projects that the total runtime for the same simulation would now come to 601 seconds, and the time for in situ computation would reduce to 5.6 percent of the total. During SC16, Kitware will address how information gleaned from the simulation run guided the development community to update ParaView. Of this total, the time for in situ computation comprised 13 percent. ![]() The total runtime for the simulation clocked in at 653 seconds. “Now, with SENSEI, users can better leverage in situ infrastructures to reduce runtime.” “With ParaView Catalyst, users can specify which visualization and analysis capabilities of ParaView they seek to implement,” Bauer said. While the previous run also computed PHASTA with ParaView Catalyst, it did not utilize SENSEI. With 1,048,576 Message Passing Interface (MPI) processes on over 500,000 cores, the run quadrupled the size of the previous largest-known in situ simulation run. The run employed a 6.3 billion-cell unstructured grid and used 32,768 out of 49,152 nodes on Mira, an IBM Blue Gene/Q supercomputer from Argonne Leadership Computing Facility at Argonne National Laboratory. Together, they enabled us to complete a larger run than ever before.”įor the run, ParaView Catalyst and SENSEI computed the Parallel Hierarchic Adaptive Stabilized Transient Analysis (PHASTA) simulation code. “ParaView Catalyst and SENSEI streamline the simulation pipeline. “ParaView Catalyst provides a lightweight ParaView server library, and SENSEI offers an interface that transfers analysis code among in situ infrastructures,” said Andrew Bauer, Ph.D., the lead developer of ParaView Catalyst at Kitware. The particular implementation that the team used for the largest-known in situ simulation run combined ParaView Catalyst and SENSEI. ![]() As part of the project, the team aims to create an infrastructure that can execute algorithms that users write across in situ software implementations. Kitware participated on a team that worked with collaborators to complete the run for a project earlier this year. MDT and on Tuesday, November 15, 2016, at 11:00 a.m. ![]() The presentation times will begin on Monday, November 14, 2016, at 7:30 p.m. ![]() Kitware has scheduled two times, during which it will deliver a presentation that provides exclusive insight on the largest-known in situ simulation run at its booth (3437) at The International Conference for High Performance Computing, Networking, Storage and Analysis (SC16). Clifton Park, NY (PRWEB) October 20, 2016 ![]()
0 Comments
Leave a Reply. |