Speaker
Description
The High Luminosity LHC (HL-LHC) is a project to increase the luminosity of the Large Hadron Collider to 5*10^34 cm-2 s-1. The CMS experiment is planning a major upgrade in order to cope with an expected average number of overlapping collisions per bunch crossing of 140. The dataset sizes will increase by several orders of magnitude and so will be the request for larger computing infrastructure. The complete exploitation of a machine capability is desirable, if not a requirement, that should anticipate a request for new hardware resources to the funding agencies. Furthermore, energy consumption for computing is becoming more and more an important voice into European data center's budget. The exploitation of Intel integrated accelerators like graphics processors which are part of our machines, will allow us to achieve much higher energy efficiency and higher performance. This presentation will focus on our first-hand experience in evaluating power efficiency when running part of the CMS track seeding code using open source OpenCL, Beignet, on both the integrated GPU and CPU of a very low power Intel SoC compared to an Intel i7 package.
| Primary Keyword (Mandatory) | High performance computing |
|---|---|
| Secondary Keyword (Optional) | Processor architectures |
