DeiC together with the EuroCC project and partners will host a workshop on extreme scale HPC with people from Oak Ridge National Laboratory.
They have been working with extreme scale HPC for a while and will host the first exascale machine Frontier. This is the same type of machine as LUMI.
Date: 20.9.2022 kl. 10-16
Place: TIVOLI HOTEL & CONGRESS CENTER (guest link: LINK). This is in walking distance from Copenhagen Central.)
Program:
10-12: Scott Klasky. Overcoming the Barriers to Extreme Scale Science.
12-13: Lunch
13-15: Norbert Podhorszki. Adios Tutorial.
15-16: Frederic Suter. Accelerating the path from Science to Workflows
Program is for all with advance user support and researchers having heavy data sizes.
Number of seats: 16.
Sign up:
Frist come first serve.
Write to
Bios:
Scott A. Klasky is a distinguished scientist and the group leader for Scientific Data in the Computer Science and Mathematics Division at the Oak Ridge National Laboratory. He holds an appointment at the University of Tennessee, and Georgia Tech University . He obtained his Ph.D. in Physics from the University of Texas at Austin (1994). Dr. Klasky is a world expert in scientific computing and scientific data management, co- authoring over 200 paper.
https://csmd.ornl.gov/profile/scott-klasky
Norbert Podhorszki is a research scientist in the Scientific Data Group in the Oak Ridge National Laboratory. He is one of the key developers of ADIOS that won an R&D100 award in 2013. His main research interest is in creating I/O and staging solutions for in-situ processing of data on leadership class computing systems.
https://csmd.ornl.gov/profile/norbert-podhorszki
Frederic Suter is a senior research scientist in the Scientific Data Group in the Oak Ridge National Laboratory. His research interests include simulation of parallel and distributed systems, scientific workflows, scheduling, and working with scientists from other fields.
https://www.ornl.gov/staff-profile/frederic-suter
AIDOS:
ADIOS is designed to tackle data management challenges posed by large-scale science applications that run on high-performance computers and require, for example, code-to-code coupling for multiphysics and multiscale applications and code-to-service coupling for data analysis and visualization. Notably, ADIOS provides a simple, declarative publish/subscribe I/O interface so that applications can easily describe the data that they produce or consume. ADIOS has multiple optimized solutions to transfer data between codes and to the file system.
The ADIOS team is focused on providing high-quality performant software products to address the data flow requirement of exascale applications on pre-exascale and exascale architectures. Therefore, the team is optimizing and creating new ADIOS microservices to efficiently perform the data transfers needed by applications that can use pre-exascale and exascale architecture features so that the exascale applications can meet their science and performance goals. The framework that the team delivers supports synchronous and asynchronous data exchanges and provides the capabilities necessary for in situ processing and code coupling and efficient data transfers to the file system.
Version 2 of AIDOS can be found at: https://github.com/ornladios/ADIOS2
