Abstract

Driven by the need to carefully plan and optimise the resources for the next data taking periods of Big Science projects, such as CERN’s Large Hadron Collider and others, sites started a common activity, the HEPiX Technology Watch Working Group, tasked with tracking the evolution of technologies and markets of concern to the data centres. The talk will give an overview of general and semiconductor markets, server markets, CPUs and accelerators, memories, storage and networks; it will highlight important areas of uncertainties and risks.

Highlights

  • High energy physics (HEP) and other big science projects are highly dependent on significant advances in compute, storage, and network performance to store and analyze the expected near order of magnitude increases in collected data in the few years

  • Capacity, and performance need to improve at a reasonable pace so that network, compute and storage costs remain within reach

  • HEP directly benefits from a robust electronics industry and market as they finances R&D into more advance electronics, both analog and digital, and enables cost reduction from economies of scale and technology improvements

Read more

Summary

Introduction

High energy physics (HEP) and other big science projects are highly dependent on significant advances in compute, storage, and network performance to store and analyze the expected near order of magnitude increases in collected data in the few years. The scientific community is dependent on the global semiconductor market to provide the advances in electronics that drives improvements in computing, detectors, and data acquisition. Future migration to 5 nm and beyond is expected to require another round of costly lithography changes This reality has caused Global Foundries to stop 7 nm process development, leaving TSMC, Samsung, and Intel at the leading edge [1]. These and higher chip design costs are making it harder to justify development of new chips using these leading edge processes as only chips with high enough sales volume can justify the up front development costs [2, 6]

Servers
Accelerators
Memory
Storage
Network
System Architecture
Findings
10 Summary
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.