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Showing posts from June, 2010

My first experiences calling the NAG Library for SMP and Multicore

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A quick introduction: I work for NAG as a Technical Support Engineer in Germany. I look after clients in Germany, Switzerland and Austria and am interested in approximation and interpolation methods as well as .NET languages. Naturally, I’m big fan of the NAG library for .NET as well as the NAG Library for SMP and Multicore.

As a non FORTRAN programmer to be able to run some tests with the new NAG Library for SMP and Multicore I decided to choose a few simple tests that I could run using both CPUs of my laptop. I created some .NET console applications, wrappers around the FORTRAN routines that were able to pass all the arguments to the routines in a .NET fashion and implemented a time counting function. There are many parts of the Library parallelized, including quadrature, partial differential equations, interpolation, curve and surface fitting, linear algebra, correlation and regression analysis, multivariate methods, random number generators, time series analysis, sorting and speci…

Technical computing futures part 2: GPU and manycore success

In my previous blog, I suggested that the HPC revolution towards GPUs (or similar many-core technologies) as the primary processor has a lot in common with the move from RISC to commodity x86 processors a few years ago. A new technology appears to offer cheaper (or better) performance than the incumbent, for some porting and tuning pain. Of course, I’m not the first HPC blogger to have made this observation, but I hope to follow it a little further.

The meaning of recognition

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A few years ago, NAG decided to brush up its public image and issued its staff with The Company Shirt (actually, it turned out that there was so much money in the marketing budget that each of us was able to have our own shirt, as opposed to being obliged to take it in turns to sport a single item of clothing). It's a rather splendid garment (you can see my colleague Mike Dewar elegantly modelling his below) that proudly but discreetly displays the company logo and, for good measure, the full name of the company (lest the abbreviation be misinterpreted as an exhortation to complain endlessly). The idea - which, I'd imagine, is common to just about every organization in the world - is that the shirt can be worn on exhibition stands, when giving commercial presentations or making customer visits so that a (somewhat loosely) unified image of the company is presented to the outside world. Members of staff have acceded to this idea with varying degrees of alacrity; speaking for mys…

Revealing the future of technical computing: part 1

I recall some years ago porting an application code I worked with, which was developed and used almost exclusively on a high end supercomputer, to my PC. Naively (I was young), I was shocked to find that, per-processor, the code ran (much) faster on my PC than on the supercomputer. With very little optimization effort.

How could this be – this desktop machine costing only a few hundred pounds was matching the performance of a four processor HPC node costing many times that? Since I was also starting to get involved in HPC procurements, I naturally asked why we spend millions on special supercomputers, when for a twentieth of the price, we’d get the same throughput from a bunch of high-spec PCs?

Why is writing good numerical software so hard?

People sometimes say to us "Why does NAG continue to exist? Surely all the good numerical algorithms have already been devised and implemented?". Well, this question ignores the fact that people keep finding new kinds of problem to solve. It also forgets that we need to make our current software continue to work robustly and efficiently as new hardware and software infrastructures develop - we need our code to run on all the platforms and in all the environments that our customers use. Making the NAG library work with a new compiler is always a non-trivial task (and sometimes it can seem more like a nightmare - just ask some of my colleagues!) It may be because we've got some code that's not yet been tested in a wide enough variety of environments. Or it may be because compiler optimization switches can reorder our code in ways that make the floating-point arithmetic behave in a way that we hadn't anticipated (which could be the compiler's fault or could be …

To people who provide technical support

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After feedback from very satisfied NAG users, it seems to be high time to publicly appreciate the folks who work in front line technical support teams. To point out what great value they provide to customers, not just for NAG but across many software organisations worldwide. It is a very important job that involves much more than answering questions. It is about asking the right return questions and about careful communications.

The idea of a TV detective springs to mind; working the crime scene at an upmarket golf club near Hollywood, with a smart party in the background… image Detective Lt Colombo, in the clubhouse, picking his words with oh-so-much care, and asking questions in the most un-intimidating way. At the same time, he has four suspects lined up at the back of his mind and is waiting to discount each one as the facts of the case (or support problem) are drawn out into the light.

Who at NAG?
------------ What! Not a doctor?

The support job sounds easy to start with: When…

NAG at ISC 2010

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NAG is attending International Supercomputing 2010 in Hamburg, Europe's largest Supercomputing conference. Attendence is apparently at its highest ever and many of the sessions have been standing-room only. During Thomas Sterling's talk yesterday, on "Parallel Computing in the Years to Come", there were people sitting in the aisles and listening from outside in the corridor. The conference starts with the announcement of the latest Top 500 List, and the big news was that a Chinese system, Nebulae, was now number 2, behind Jaguar at Oak Ridge National Laboratory in the US. This is the second Chinese system to get into the top 10 and, like Tianhe-1, currently at number 7 in the list, it gets its performance from GPUs. In fact its theoretical peak performance is higher than Jaguar's, but it is hard to achieve that performance with existing software development tools. GPUs are very much the flavour of the moment. There are some interesting new products for GPU prog…