第167回

The USA Exascale Computing Project (ECP) is focused on accelerating the delivery of a capable exascale computing ecosystem that delivers 50 times more computational science and data analytic application power than possible with DOE HPC systems such as Titan (ORNL) and Sequoia (LLNL). As next generation applications and experiments grow in concurrency and in complexity, the data produced often grows to extreme levels, limiting scientific knowledge discovery. In this presentation, I will talk about the new set of applications and experiments which push the edge of scientific data processing and simulation. I will present some of the exciting new research in this area to cope with this tsunami of data, along with the challenges in implementing these effectively on next-generation computer architectures. In this presentation I will also focus on the ADIOS framework a next generation to ingest, reduce, and move data on HPC systems and over the WAN to other computational resources. I will also focus on in situ data processing infrastructure and next generation data compression algorithms.

※紹介されるツールのチュートリアルが同日午後に行われます。
[ Time table ]13:00-16:00　ADIOS2 Tutorial
Lecturers: Scott Klasky (ORNL), Norbert Podhorszki (ORNL)
興味を持たれた方は、ADIOS2 Adaptable I/O Frameworkチュートリアル 開催（4月15日・神戸）をご覧下さい。