Mastering Parallel Programming with R by Simon R. Chapple & Eilidh Troup & Thorsten Forster & Terence Sloan

Mastering Parallel Programming with R by Simon R. Chapple & Eilidh Troup & Thorsten Forster & Terence Sloan

Author:Simon R. Chapple & Eilidh Troup & Thorsten Forster & Terence Sloan [Chapple, Simon R.]
Language: eng
Format: azw3
Publisher: Packt Publishing
Published: 2016-05-31T04:00:00+00:00


Note

Software versions

In this chapter, the MPI examples were run on an Apple Mac Book Pro, with a 2.4 GHz Intel Core i5 processor, 8 GB memory, running OS X 10.9.5, MPI mpich-3.1.2, C clang-600.0.57, and R version 3.1.1. For the genomics analysis case study, the examples were run on ARCHER. At the time of writing (March 2015), the ARCHER compute nodes contain two 2.7 GHz, 12-core E5-2697 v2 Ivy Bridge series processors. Each of the cores in these processors can support two hardware threads, also known as Hyper-threads. Within the node, the two processors are connected by two QuickPath Interconnect links. Each node has a total of 64 GB of memory. ARCHER has 4,920 compute nodes. The software versions used on ARCHER were: MPI cray-mpich version 7.1.1, C gcc version 4.9.2, and R version 3.1.0.



Download



Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.