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Title

Analysing power performance on Heterogeneous Memory Systems

Details
Date Fri, Jan 20, 2023
Time 4:00 pm - 4:20 pm (5 pm - 5:20 pm Discussion, 5:20 pm - Free discussion (optional))
City Online
Place

Online seminar on Zoom

  • If you are not affiliated with R-CCS and would like to attend R-CCS Cafe, please email us at r-ccs-cafe[at]ml.riken.jp.
Language Presentation Language: English
Presentation Material: English
Speakers

Andres RUBIO PROAÑO

High Performance Big Data Research Team
Postdoctoral Researcher

Abstract

Memory systems in High Performance Computing systems have undergone major changes in recent years. The trend was to have main memory, storage, and multiple levels of cache, but now servers come with non-uniform memory access and can contain multiple types of memory. This work concentrates efforts on the issue of the use of various types of memory with different properties; we've specifically taken into account the power consumption metrics of each memory and decided where to allocate buffers when developers face power-constraining situations. In the same way, we also provide an early simulation model for those developers who don't have access to HMS and want to get an idea of how much power their applications could use on a given system. This talk provides an overview of HMS, summarizes the various results, and provides a future perspective.

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(Jan 5, 2023)