September 2019

ARCHER Embedded Computational Science and Engineering projects

Author: Chris Johnson
Posted: 18 Sep 2019 | 16:01

Since the start of the ARCHER UK National Supercomputing Service service, one hundred eCSE (embedded Computational Science and Engineering) projects have been awarded funding to carry out code improvements for software running on ARCHER and future Tier-1 services. Projects have come from a diverse range of disciplines with principal investigators (PIs), Co-Investigators (Co-Is) and technical staff involved from 44 different institutions across the UK.

ARCHER Data Transfer Guide now updated

Author: Caoimhin Laoide-Kemp
Posted: 13 Sep 2019 | 10:39

As ARCHER and the UK Research Data Facility (RDF) are both coming to the end of their service, many users will have to transfer their data to their own machines. Because of this, the ARCHER Data Transfer Guide has been updated to give more precise and up-to-date information about best practices for transferring data between ARCHER, the RDF, and remote machines.

Optimizing CPU oversubscribed reductions

Author: Guest blogger
Posted: 6 Sep 2019 | 11:17

Gladys Utrera was an HPC Europa3 visitor to EPCC from 1st of July to the 3rd of August 2019. She has been an HPC Europa visitor before - in this brief blog article she tells us what she did this time.

Hi! My name is Gladys Utrera and I currently work at the Computer Architecture Department of the Universitat Polit√®cnica de Catalunya in Barcelona, Spain. There I combine teaching of parallel computing and operating systems subjects with research on HPC topics and parallel programming models. Thanks to the HPC-Europa3 programme I could spend four weeks at the EPCC in the University of Edinburgh with my host Mark Bull who is a very well-known expert in my research areas. This is my third research visit to EPCC, and the second as an HPC-Europa visitor. 

My research involves executions on large multi-core node clusters. In addition, performance evaluations on machines with different architectures characteristics like ARCHER and Cirrus, enrich my results greatly.