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E1: 34: Case Study: Parallel versus Concurrent Processing (R3482 & R3483) (Doc ID 648177.1)

Last updated on APRIL 03, 2024

Applies to:

JD Edwards EnterpriseOne Requirements Planning - Version XE and later
Information in this document applies to any platform.


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Information Center: Overview of JD Edwards EnterpriseOne Requirements Planning > Information Center: Using JD Edwards EnterpriseOne Requirements Planning > Document 648177.1

This document will introduce Parallel Processing and how it compares to Concurrent processing, using an actual customer and their data.

Use this in addition to  E1: 34: Concurrent Processing for R3482 & R3483 Document 644104.1 and E1: 34: Parallel Processing for MRP R3482/R3483 Document 626115.1


Advanced users of MRP/MPS or DRP and those tasked with performance improvement of R3482 or R3483 will benefit from this information.


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In this Document
  Typical Use Case Summary
 Clients Testing Environment
 Client's Subset of 34/QT
 Frequently Asked Questions
 Question 1:  Bills of Material are not used; therefore all of our Items have a Low Level Code of '0'.  Should Parallel or Concurrent Processing be used?
 Question 2:  Bills of material often go down to 6-8 levels deep, and a single version of R3482 is taking several hours to run.  How can the performance be increased?
 Question 3.  Running R3482 is taking over four hours to run, should Parallel Processing be used?
 Question 4:  How can the overnight process speed be increased?
 Question 5:  Four physical CPUs exist on the server, but they are Hyper-threaded.  Will R3482/83 treat them as 4 or 8 CPUs?
 Question 6:  Four versions of R3483 are run, each with different Document Types, and totally independent data selection.  How can batch processing speed be increased?

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