Search Results for: “mpi”

Improving U.S. Weather Prediction With Petascale Supercomputing

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Over at the Washington Post, Jason Samenow writes that an infusion of funding into the National Weather Service from Hurricane Sandy relief legislation promises to facilitate massive upgrades to key supercomputers, dramatically improving local, national, and global weather forecasts.

This is a breakthrough moment for the National Weather Service and the entire U.S. weather enterprise in terms of positioning itself with the computing capacity and more sophisticated models we’ve all been waiting for,” said Louis Uccellini, director of the National Weather Service.

The $23.7 million in improvements to NWS’s forecasting systems from the Sandy supplemental will facilitate a more than ten-fold increase in the capacity of the supercomputer running the GFS model, ramping compute capacity from 213 teraflops to 2,600 teraflops by the 2015 fiscal year. Read the Full Story.


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Video: Challenges of Scale & MPI/PGAS APIs

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In this video from the 2013 Open Fabrics Developer Workshop, Todd Rimmer from Intel presents: Challenges of Scale & MPI/PGAS APIs.

Download the slides (PDF). You can check out more OFA videos at our Open Fabrics Workshop Video Gallery.

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Intel MPI Library for Intel Xeon Phi-based Clusters & MVAPICH2 for Intel MIC

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In this video from the 2013 Open Fabrics Developer Workshop, Bill Magro from Intel presents: Intel MPI Library: Implementation for Intel Xeon Phi Based Clusters. Download the slides (PDF).

In this follow-up session, DK Panda from Ohio State University presents: MVAPICH2 for Intel MIC.

You can check out more OFA videos at our Open Fabrics Workshop Video Gallery.

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Video Gallery: HPC Advisory Council Switzerland Workshop

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Video Gallery: HPC Advisory Council Switzerland Workshop

 

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OCF to Provide HPC Support for University of Central Lancashire

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HPC, data management, data storage and data analytics provider, OCF has been chosen by the University of Central Lancashire (UCLan) to provide cluster management support services for its HPC system.

OCF provides UCLan with strategic counsel and development of its HPC system in the absence of an in-house HPC manager, due to a shortage in the recruitment market.

Built by OCF in April 2010, the shared HPC system is now used by a multi-disciplinary team of in-house scientists who can access the system via local work stations, compile simulation code in user accounts and, once processed, view the resulting simulation locally. More recently, other PhD students in the physiotherapy and design departments have joined access to the HPC system, and the university is in the process of making the HPC system available across its various departments.

Graham Lee, head of IT infrastructure management at UCLan, said: “OCF responded quickly to a situation, whereby our previous HPC manager moved on leaving us with a gap in knowledge and skills to manage the HPC system. OCF initially provided an immediate system review and set in place clear SLAs with favourable response times for any service or incident calls. The OCF team now works in collaboration with our in-house IT team and the HPC system can be remotely managed and is presently returning 98 per cent availability of service.”

Julian Fielden, managing director at OCF, said: ‘It Is evident that the shortage of HPC expertise in the market can cause difficult situations for our customers, and we are pleased that we were able to help UCLan and will ensure going forward that our support services continue to deliver a high level of maintenance and advice. It can sometimes be more beneficial for our customers to use our remote service for cluster management to plug the gap in HPC skills, whether in the education market or corporate sector.’

The HPC system was originally funded entirely by the university without external financial support and was designed, installed and configured by OCF working closely with UClan’s Learning and Information Services team who host the system and provide day-to-day support and monitoring.

This story appears here as part of a cross-publishing agreement with Scientific Computing World.


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Allinea DDT Goes to 4.0, Brings HPC Software Development Closer to Home

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The new Allinea DDT 4.0 release is designed to make it easier for scientists to debug and optimize HPC code even when they’re on the road.

We’ve got a lot of academics, lab people, and industry people who are on the road a lot for conferences and meetings. It’s important for them to be able to work remotely,” says David Bernholdt, a senior computational scientist in R&D at ORNL. “Instead of having to put statements in the code, recompile, reset, and go through this whole long cycle, they’ll be able to pop up their clients on their laptops and figure out what’s going on right away.”

The release of Allinea DDT 4.0 includes native remote clients for Linux, Windows and Mac. These clients allow debugging of HPC applications, wherever they are hosted – on nationwide HPC resources or out in the rapidly growing HPC Cloud.

The new native client approach is paying dividends for users. “The advantage of a true native client is in the response times,” adds Chris January, VP Engineering at Allinea, “when you’re debugging code on a cluster you don’t want a slow connection to make you step twice or accidentally delete breakpoints. Only a native client can respond quickly enough to keep users in complete control.”

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TotalView Debugger Shortens App Development Cycles at European Universities

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Today Rogue Wave Software announced that TotalView has been selected by both the University of Luxembourg and University of Strasbourg to debug complex, multi-threaded applications. TotalView is a scalable and intuitive debugger for parallel applications written in C, C++, and Fortran. Designed to improve developer productivity, TotalView simplifies and shortens the process of developing, debugging, and optimizing complex applications.

TotalView enables our research teams to develop and debug all of their applications faster, from simple prototypes to advanced, multi-threaded applications,” stated Sébastien Varrette, manager of the HPC department of the University of Luxembourg. “Our teams are experts in bioinformatics and engineering, but not supercomputers. With TotalView, they can leverage the easy-to-use, advanced debugging features to quickly debug their applications, so they can focus on their research goals.”

Already impressed by TotalView’s ability to significantly shorten debugging cycles, the HPC Center of the University of Strasbourg has selected TotalView for several new MPI and OpenMP applications. TotalView will be deployed on a NEC machine which is a Linux cluster comprised of NEC HPC1812Rd-2 InfiniBand compute nodes and NEC GPS12G4Rd-2 hybrid compute nodes with Nvidia Kepler cards.

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Video Gallery: Open Fabrics Developer Workshop 2013

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Video Gallery: Open Fabrics Developer Workshop 2013

Note: Slides from the Workshop are now posted as well.

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How IBM’s Potential Sale of its x86 Business Could Impact the HPC Market

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Over at The Register, Timothy Prickett Morgan writes that IBM may be selling its x86 server business to Lenovo.

If IBM actually has a plan that gets it into hyperscale data centers – possibly with ARM, Atom, and Power microservers, possibly deploying some of the Power AS and torus interconnect in the BlueGene/Q supercomputers – and if IBM will use at least some of the funds from a Lenovo deal to do the engineering to make modern servers, then dumping System x might be worth it. It would be quite interesting, in fact, to see IBM become an ARM licensee and offer both ARM and Power alternatives. But IBM is probably more inclined to think it can push Power into an x86-dominated data center, and do so despite all the hype and real engineering with ARM processors for servers.

As to what such a deal means to the HPC market, I think this vendor chart from the November 2012 TOP500 is very telling. IBM clearly has the largest share of the TOP500, and even though this represents a mix of Blue Gene, Power, and x86 systems, a sale to Lenovo could result in a Chinese multinational becoming the number one vendor on the TOP500.

Ouch!

As you’ll recall, IBM sold off its unprofitable PC business to Lenovo back in December 2004. According to reports, IBM will not be selling its new FlexSystems in this deal.

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Jeff Layton on the Cloud’s Changing Role in HPC

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Over at Admin HPC, Dell’s Jeff Layton writes that a pair of recent use cases have helped changed his mind about the validity of using the Cloud for HPC.

At first, it was fairly easy to dismiss cloud computing for traditional HPC workloads. The “HP,” after all, stands for “high performance,” and doing anything to reduce performance is counterproductive. You are paying more and getting less. However, new workloads are being added to HPC all of the time that might be very different from the classic MPI applications in HPC and have different characteristics. The amount of computation in these new workloads is increasing at an alarming rate – so much so, that I think HPC is giving way to RC (research computing).

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Allinea DDT Sets Record with 700,000+ MPI Tasks on Blue Waters

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Today Allinea announced a new scalability record on the Blue Waters supercomputer at NCSA. Now in full production mode, Blue Waters is the world’s fastest supercomputer on a university campus with a theoretical capacity of 11.62 petaflops.

While getting the machine up to speed, the Blue Waters team ran their own demanding acceptance trials with Allinea DDT debugging more than 700,000 MPI processes simultaneously.

Having Allinea DDT in the hands of users at this scale whenever the need arises and at any scale – with its lightning fast performance and easy to use interface – is a critical part of getting the scientific applications to super-petascale,” says David Lecomber, COO and founder of Allinea.The implementation of the Blue Waters system had a tough timeline – and having a debugger ready to deploy at large scales was critical to meeting the schedule. “We knew our tool was more than ready,” says Lecomber. “We wanted the NCSA to take Allinea DDT to the extreme and see it first-hand, as real users. They came back with the news that it was 30x faster than they specified in performing common debugging tasks—without any extra tuning.”

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How to Set Up an MPI Cluster on Amazon EC2

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Glenn K. Lockwood from SDSC writes that setting up a working set of EC2 instances that have the necessary configuration to run MPI applications can be quite daunting, so he has posted a guide.

Most guides online are kind of unhelpful in that they try to illustrate some proof of concept in how easy it is to get a fully configured cluster-in-the-cloud setup using some sort of provisioning toolchain. They gloss over the basics of exactly how to start these instances up and what to expect as far as their connectivity. Fortunately it only took me a morning to get MPI up and running, and for the benefit of anyone else who just wants to get MPI applications running on EC2 with as little effort as possible, here are my notes.

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Video: How to Talk to Your CFO about HPC and Big Data

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In this video from the 2013 National HPCC Conference, Rich Brueckner from inside-BigData moderates a panel discussion on How to Talk to Your CFO about HPC and Big Data.

Panelists:

John C. Morris – Pfizer
Dr. George Ball – Raytheon
Henry Tufo – University of Colorado, Boulder
Dr. Flavio Villanustre – LexisNexis

As members of the HPC community, we spend a good share our time sharing our work and best practices with our colleagues. But how do we communicate the business value of high performance computing and Big Data analytics to CFOs who have little affinity to discussions of things like cores, Hadoop, and MPI? In this panel discussion, experts and Big Data and HPC will come together to share best practices and communication strategies that have proven effective when talking to CFOs and other C-level executives.”


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RCE Podcast Looks at Chapel, an Emerging Parallel Programming Language

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In this RCE Podcast, hosts Brock Palen and Jeff Squyres discuss the Chapel parallel programming language with Brad Chamberlain and Sung-Eun Choi from Cray.

Chapel strives to vastly improve the programmability of large-scale parallel computers while matching or beating the performance and portability of current programming models like MPI.

Download the MP3 or Subscribe on iTunes.


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Jeff Squyres on Latency Analogies

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Over at the MPI Blog, Jeff Squyres writes that the distance-from-home analogy is good way to help explain application latency.

So when you send a message to a peer (e.g,. MPI_SEND to another MPI process), consider with whom your communicating: are they next door, in the next subdivision, or in the next city? That gives you an idea of the magnitude of the cost of communicating with them. But let’s add another dimension here: caches and RAM. Data locality is a major factor in performance, and is frequently under-appreciated.

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