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ARCHER News

Tuesday 2nd October 2018

RDF maintenance - 3rd October 2018 09:00 - 17:00
Hands-on Introduction to HPC, Edinburgh, 9 Oct 2018 - part of Ada Lovelace Day
GPU Programming with CUDA course
TPLS and the Use of PETSc webinar, 3pm Wednesday 31st October 2018
Supercomputing MOOC : Begins 24th Sepetember 2018
ARCHER and Tier 2 RAP call now open
Training : Upcoming ARCHER Training Opportunities

RDF maintenance - 3rd October 2018 09:00 - 17:00

The RDF filesystems including the ARCHER frontends, Data Transfer Nodes and DAC will be unavailable 09:00 - 17:00 on 3rd October whilst engineers work to replace UPS batteries.

Hands-on Introduction to HPC

Edinburgh, 9 Oct 2018 - part of Ada Lovelace Day

A half-day workshop as part of Ada Lovelace Day offering a hands-on Introduction to HPC.

This half-day course will provide an introduction to the basic concepts underlying the drivers for HPC development, HPC hardware, software, programming models and applications. It will provide an opportunity for some practical experience, information on performance and the future of HPC. This foundation will give the you ability to appreciate the relevance of HPC in your field and also equip you with the tools to start making effective use of HPC facilities yourself.

The course is delivered using a mixture of lectures and practical sessions and has a very practical focus. During the practical sessions you will get the chance to use Cirrus with HPC experts on-hand to answer your questions and provide insight.

Full details and registration : http://www.archer.ac.uk/training/courses/2018/10/intro_ada_lovelace_edin/index.php

GPU Programming with CUDA

Graphics Processing Units (GPUs) were originally developed for computer gaming and other graphical tasks, but for many years have been exploited for general purpose computing in a number of areas. They offer advantages over traditional CPUs because they have greater computational capability, and use high-bandwidth memory systems (memory bandwidth is the main bottleneck for many scientific applications).

This introductory course will describe GPUs, and the advantages they offer. It will teach participants how to start to program GPUs, which cannot be used in isolation, but are usually used in conjunction with CPUs. Important issues affecting performance will be covered.

The course focuses on NVIDIA GPUs, and the CUDA programming language (an extension to C/C++ or Fortran). Please note the course is aimed at application programmers; it does not consider machine learning or any of the packages available in the machine learning arena.

Full details and registration : https://events.prace-ri.eu/event/784

TPLS and the Use of PETSc webinar

Wednesday 31st October 3pm GMT

David Scott, EPCC
The capabilities of a program called TPLS (Two Phase Level Set) will be described with particular emphasis on how PETSc (Portable, Extensible Toolkit for Scientific Computation) is used in the code.

http://www.archer.ac.uk/training/virtual/