Posted: 24 Nov 2016 | 14:32
NEXTGenIO was one of several EC-funded exascale projects that we started work on last year. Here’s what’s been happening since it launched.
Posted: 17 Nov 2016 | 10:03
Fortissimo is a collaborative EC-funded project that enables European SMEs to be more competitive globally through the use of simulation services running on a high performance computing (HPC) cloud infrastructure.
Posted: 16 Sep 2016 | 11:34
Recently EPCC's Alan Gray and I attended a workshop at Donington Park held by Roborace. For those who've not heard of Roborace, it's a project to build and race autonomous cars, along the lines of Formula 1 but without any drivers or human control of the cars. Actually, it's more like Formula E but without drivers, as the plan is for the cars to be electric.
Posted: 5 Sep 2016 | 10:35
06/09/16: As pointed out by my colleague Stephen in the comments after this post, the way to solve most of these issues is to tunnel the key authentication and therefore bypass the need to have private keys anywhere but on my local machine. I'm always learning :)
Password vs key
Having to remember a range of passwords for systems that I don't use regularly is hard.
You can use a password manager, but that only helps if I'm only ever trying to log in from my own laptop. If I have to log in from someone else's machine for any reason then I'd need to know the password.
Posted: 1 Sep 2016 | 10:03
The ADEPT project is creating tools that can be used to design more efficient HPC systems.
Energy efficiency is one of the key challenges of modern computing – in an era where even the most efficient supercomputers come with massive energy bills, technology that can help to increase energy efficiency is critical to sustainable HPC development.
Posted: 31 Aug 2016 | 15:29
We're looking for collaborative projects with industry and academia.
As ever we are on the look-out for interesting collaborative projects for the students to undertake towards the end of their course (roughly from April/May to August).
Posted: 30 Aug 2016 | 12:22
Knights Landing MPI performance
Following on from our recent post on early experiences with KNL performance, we have been looking at MPI performance on Intel's latest many-core processor.
The MPI performance on the first generation of Xeon Phi processor (KNC) was one of the reasons that some of the applications we ported to KNC had poor performance. Figures 1 and 2 show the latency and bandwidth of an MPI ping-pong benchmark running on a single KNC and on a 2x8-core IvyBridge node.
Posted: 29 Jul 2016 | 16:45
Initial experiences on early KNL
Updated 1st August 2016 to add a sentence describing the MPI configurations of the benchmarks run.
Updated 30th August 2016 to add CASTEP performance numbers on Broadwell with some discussion
KNL is a many-core processor, successor to the KNC, that has up to 72 cores, each of which can run 4 threads, and 16 GB of high bandwidth memory stacked directly on to the chip.
Posted: 21 Jun 2016 | 17:13
There's been a lot of discussion about the latest Top500 list, released this week at ISC16. Most of the interest has been in the whopping new Chinese system, Sunway TaihuLight, which has come in at number 1 on the list with a massive 93 PFlop/s rpeak Linpack performance, and 125 PFlop/s rmax theoretical peak performance (3 times bigger than the previous number 1 system).
Whilst this is a very interesting system, and much bigger than is currently planned elsewhere, it's not unknown for very large systems to come in and dominate the list like this. Back in 2002, the Japanese Earth Simulator system became the number 1 machine with an rpeak of ~5x that of the previous number 1 system, and it stayed as the top machine for a number of years.
Posted: 15 Jun 2016 | 13:35
This week sees our annual collaboration workshop with Tsukuba University, Japan (more details are available here). This is a great chance to get a flavour of the kind of research another HPC centre is undertaking, how they work, and what platforms they are investing in.
The Centre for Computational Sciences (CCS) at Tsukuba is a department very like EPCC, in that it is responsible for high performance and parallel computing at the university, runs and supports large-scale computers for researchers, and undertakes parallel computing research.