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Example of usage in Micron Italy (MIT)

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1 Example of usage in Micron Italy (MIT)
Condor in Micron Example of usage in Micron Italy (MIT) Maurizio Lucianelli Data & Systems mgmt Manager Micron Technology Italia 12/1/2018 Micron Confidential ©2006 Micron Technology, Inc. All rights reserved. Products are warranted only to meet Micron’s production data sheet specifications. Information, products and/or specifications are subject to change without notice. All information is provided on an “AS IS” basis without warranties of any kind. Dates are estimates only. Drawings not to scale. Micron and the Micron logo are trademarks of Micron Technology, Inc. All other trademarks are the property of their respective owners.

2 Agenda Micron Overview Overview of Micron Condor grid
Definition of Micron systems Two grid applications in Avezzano Conclusion 12/1/2018 Micron Confidential

3 Micron Around the World
12/1/2018 Micron Confidential

4 Micron products DRAM Image Sensors Flash Memory 12/1/2018
Micron Confidential

5 Image Sensors Image Sensor 12/1/2018 Micron Confidential

6 Overview of Micron grid Avezzano Condor Pool
11k+ processors in 11 “pools” Linux, Solaris, Windows ~65th Top500 Rank 5.7 TeraFLOPS Built in-house Open Source Grid Centralized governance Distributed management 20+ applications Self developed Micron’s Global Grid Available processor by platform Linux: 117 XP: 1000 Solaris: 60 azit condor pool Available processor by platform Linux: 117 XP: 1000 Solaris: 60 12/1/2018 Micron Confidential

7 Definition of Micron systems
ESDA is a suite of applications for analyzing and categorizing both electrical and particle defects on manufactured silicon wafers Imaging reprocessing is the tool used to perform batch quality and functional tests on image sensors built on silicon wafers 12/1/2018 Micron Confidential

8 Esda Statement of problem
Continually increasing product complexity requires a continuous increase of power computation To keep the workload balanced on ESDA servers historically required increasing manual overhead ESDA system is mainly composed as follows: A lot of small jobs to categorize chips (hundreds of thousand per day) Few long running jobs Summarization jobs using result from above jobs (post-processing). 12/1/2018 Micron Confidential

9 ESDA Condor Solution Condor provides an opportunity to have a scalable solution avoiding the need to buy additional H/W The summarization Jobs have been selected as best candidate List of independent scripts collected in one job 30% of CPU load was used by Post-processing Challenges I/O performance tuning: number of concurrent jobs log files spread within condor pool hosts Learning curve: understand how to ‘condorize’ existing application 12/1/2018 Micron Confidential

10 ESDA Condor Solution Benefits Cost saving $110k (TCO)
89.4% of the entire current ESDA TCO Automatic load balancing among the execution hosts Released 30% of CPU load to ESDA systems Made the addition of new features to the post-processing phase easier 12/1/2018 Micron Confidential

11 Imaging reprocessing Statement of Problem
Test processing fine tuning Reprocess a high volume of wafers to improve test quality Analyze high volume of wafers after defective material return Assure feedback both to the engineering and to the customers based on SLA Due to the production impact it is impossible to reprocess on production servers Long execution time jobs 12/1/2018 Micron Confidential

12 Imaging reprocessing Condor Solution
Applied solution Leverage condor pool using otherwise idle office workstations Suspend policy changed: applied only on free memory availability Re-nice of jobs to lowest windows priority Leverage file transfer capability of condor to pass both data and executable to the execution hosts 12/1/2018 Micron Confidential

13 Imaging reprocessing Benefit No addition H/W needed: $165k (TCO)
103% of the entire current Image TCO No additional software installation/setting on execution workstations High level of parallelization thanks to jobs independency Capability to re-process one working week in few hours without impact on production capacity 12/1/2018 Micron Confidential

14 Conclusion System scalability and Cost saving
Ability to support peak usage Improve assets utilization 12/1/2018 Micron Confidential

15 Conclusion Cost saving Better utilization Ability to handle peak loads
Optimized IT staff resources Minimize impact to production Reduce time to market 12/1/2018 Micron Confidential

16 Questions? 12/1/2018 Micron Confidential
©2006 Micron Technology, Inc. All rights reserved. Products are warranted only to meet Micron’s production data sheet specifications. Information, products and/or specifications are subject to change without notice. All information is provided on an “AS IS” basis without warranties of any kind. Dates are estimates only. Drawings not to scale. Micron and the Micron logo are trademarks of Micron Technology, Inc. All other trademarks are the property of their respective owners.

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