Dear all,

 

The Faculty will be running a number of High Performance Computing workshops over the next few months.

 

The goal of this workshop is to give users solid foundations for high performance Computing (HPC) usage in a local cluster and cloud services. The training uses hands-on exercises on modern HPC systems, such as jobs of MPI or OpenMP software on shared memory nodes, CUDA software for graphics co-processors (GPUs), and MPI models for distributed memory systems. 

 

The HPC training covers ideas for three major classes of machines: for sequential machines with memory hierarchies (e.g., cache), for multicore shared memory machines and for distributed memory machines like clusters and supercomputers, via network models.  

 

The practical aspect of this course involves setting up scripts for running software and compiling software with different flags on real parallel and distributed systems,  so users can check whether what appears to work well in theory also translates into practice.  Emphasis will be given in teaching good practises of contacting research using computational experiments in HPC clusters.

 

The course will cover:

-Parallelism paradigms & HPC hardware;

-Job Scheduling, queuing system (SGE), fair usage and charging;

-Scientific software, compilation of software, validation, good practises of research;

-Introduction to Rosalind, use of the HPC and Openstack part;

-Alternative facilities and the cloud;

 

Prerequisites: Good knowledge of Linux

 

Dates, times & locations:

 

Wednesday 30 November 2016 - 14:00 - 17:30 in K3.16

 

Wednesday 1 March 2017 - 14:00 - 17:30 in K4U.13

 

Wednesday 21 June 2017 - 14:00-17:30 in K4U.13

 

If you would like to attend one of the above sessions, please do let me know. 

 

Best wishes

Lucy

 

Lucy Ward

Faculty Equality & Diversity Coordinator

Faculty PGR Coordinator

Faculty of Natural and Mathematical Sciences

King's College London

 

Strand Building S3.27 | Strand | London | WC2R 2LS

Tel: 020 7848 2267

Email: lucy.ward@kcl.ac.uk

Website: www.kcl.ac.uk/nms