Cray XT5m Midrange Supercomputer Builds Market Momentum

By Nicole Hemsoth

September 28, 2009

In March 2009, Cray announced the Cray XT5m system, a compatible midrange extension of the high-end Cray XT5 product line that was first to break the sustained petaflop performance barrier on real-world applications. HPCwire asked Barry Bolding, Cray’s vice president of scalable systems, for an update on the midrange product.

Cray XT5HPCwire: How is the Cray XT5m midrange supercomputer doing in the market place?

Bolding: We disclosed one customer name with the March announcement, the High Performance Computing Center Stuttgart, where it’s being used for automotive, academic and public sector work. We have also publically announced a second customer, the Finnish Meteorological Institute (FMI) in the production weather forecasting segment. The Cray XT5m has been meeting our sales goals since then. Granted, our expectations for the first six months were fairly modest because the midrange is a new space for us and we viewed this as a learning period. The good news is that we have validated that the XT5m can be a leader in the mid-range. We have won customers in several of our key target segments and our pricing is very competitive in this price sensitive space so we expect higher volumes going forward. Today we have a large number of bids outstanding in academia, automotive, aerospace, pharma and weather forecasting, as well as in government and R&D labs.

HPCwire: Why did Cray decide to develop this product?

Bolding: There were several reasons. We were consistently running into procurements that were in the midrange and needed a more price-competitive system for that space, which we view as a growth area for us. According to IDC, Cray is the current global market share leader for HPC systems priced at $3 million and up, but we have a very small presence in the midrange segment. Many of the characteristics of our largest machines are applicable in the midrange, but to succeed in this space we needed to develop a price-competitive product, turn around procurements faster, and provide a wider range of ISV applications. ISV applications are also important at the high end, but industry typically buys midrange systems and relies more heavily on third-party apps than government and academia do. The Cray XT5m is the initial product on our midrange roadmap.

HPCwire: Why would someone buy a Cray XT5m system instead of a same-size cluster? What are the key differences?

Bolding: Primarily they get Cray’s more capable SeaStar interconnect and interconnect roadmap. The Cray SeaStar has proven itself over the past several years as the industry-leading interconnect for MPI scalability.  With the Cray SeaStar interconnect, the Cray XT5m handles complex messaging traffic very efficiently.  You also get the entire Cray software stack that has been scaled and validated up to the petascale performance level, plus the network roadmap driving toward global addressability and high-performance UPC and Co-Array Fortran, along with MPI of course. So, Cray XT5m customers are buying into a broader portfolio than just a typical midrange system.  They’re buying into the demonstrated petascale scalability of the XT5 architecture. To achieve true scaling today, even at midrange size, one needs a full portfolio of network, software and infrastructure support, which Cray provides in the XT5m. And with multicore processors becoming prevalent, users will soon be facing the need to scale substantially higher even with midrange systems, especially starting in 2010.  Our midrange systems are designed to benefit from Cray’s high-end system development and this will continue. For example, the Cray XT5m line provides the same TCO benefits to our midrange customers as our largest supercomputer customers enjoy with the ECOphlex cooling technology we developed for petascale systems.

HPCwire: Assuming the Cray XT5m has a more capable network and memory subsystem than a standard cluster, with better bandwidth and latency characteristics, wouldn’t it be able to tackle a broader range of applications efficiently?

Bolding: The Cray XT5m today is a midrange industry leader from a network bandwidth and latency perspective. This gives users an important advantage over commodity InfiniBand networks and allows the Cray XT5m to handle a broader range of applications efficiently. The system is aimed at codes scaling to 256 cores and beyond, and in this range users typically see significant benefits from the overall system and software design.

HPCwire: Are customers using their Cray XT5m systems as their main HPC systems or for specific portions of their workloads?

Bolding: It varies. In production weather forecasting, we have a customer using it as their primary production system. At academic sites it varies from being primary system to one among multiple HPC systems. Some users are experimenting with the new functionalities, including the network features and the Cray software and compilers. It’s also allowing users to experiment with scalability in ways they haven’t been able to do before. So, the Cray XT5m is being used both as a development platform and a production platform.

HPCwire: Is there any customer who operates both a Cray XT5 and a Cray XT5m system?

Bolding: There are customers running applications across both Cray XT5 and Cray  XT5m systems, although they don’t have both systems in-house today.  By the end of this year, we’ll have sites that have both in their data centers.

HPCwire: The XT5m is a compatible downward extension of the Cray XT5 architecture, but uses a 2D torus interconnect instead of the XT5’s 3D torus. What’s the strategy behind this change?

Bolding: It’s a cost-saving strategy for the midrange scale. With a Cray XT5m system consisting of 1-6 cabinets, customers tend not to have applications that require the full 3D topology as much as with a larger, high-end Cray XT5. We right-sized the Cray XT5m for midrange requirements, including the interconnect, allowing us to provide a price-competitive product in this space. We’ve done extensive studies on application performance on the Cray XT5m, and there has been minimal performance impact at six cabinets and below. Above that size, you need the Cray XT5’s 3D torus to maintain scalability. For most apps in the 1-6 cabinet range, performance degradation due to the topology is less than 5 percent even for applications running across several thousand cores of a Cray XT5m.

HPCwire: If a site maxes out on their XT5m, what’s the upgrade path to a Cray XT5 system?

Bolding: It’s very simple. Today, it just involves replacing the network mezzanine card and adding more cables to transform the 2D torus into a 3D torus. We’ll make the upgrade path even simpler in the future of our midrange systems.

HPCwire: Do you expect some users to take advantage of non-MPI programming models that are available on the XT5m, such as SHMEM, UPC and Co-Array Fortran?

Bolding: We do. We port those in the software today and will be making announcements of enhancements to the hardware support for some of these features in the next 12 months. We are committed to making more innovations and remaining a leader in HPC, and this requires providing our customers with multiple, high performance programming models.

HPCwire: What is the Data Virtualization Service that comes with the XT5 and XT5m, and why is it important?

Bolding: DVS is an important part of Cray systems. DVS is a flexible virtualization layer that Cray plans use to expand our software functionality and performance . One feature of DVS is that it can allow Cray to project various file systems onto the compute nodes (which are diskless on Cray XT5 systems). This allows Cray systems to act more like a standard commodity cluster if it needs to.  We support IO and storage functionalities that we haven’t in the past. We can share file systems with high-performance file systems on platforms other than clusters. Customers such as NERSC and Oak Ridge are doing very innovative things with file systems and DVS can play a role in providing the flexibility they need.  So, DVS helps us both with compute and IO/storage.

HPCwire: Where is the Cray XT5m product line headed in the future?

Bolding: We are going to continue driving into the midrange market, which is a segment that has excellent growth opportunities for Cray. We want to build a substantial and sustainable market presence there, especially with customers focused on scalability of applications. To grow the XT5m line we need to continue to be competitive on cost while improving price/performance, network scalability,  software features and ISV availability, and we’ll be doing all those things. We’ll also be improving the processor roadmap with new technologies coming into market place. Cray’s innovation, combined with AMD’s strong roadmap is a winning combination for the next few years for the entire XT family of systems. 
HPCwire: What should we look for next?

Bolding: At SC09, we plan to talk more specifically about our future plans for the Cray XT5m product line.

For more information on how the Cray XT5m is making petaflops performance affordable, download the AMD white paper here.


Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

RSC Reports 500Tflops, Hot Water Cooled System Deployed at JINR

April 18, 2018

RSC, developer of supercomputers and advanced HPC systems based in Russia, today reported deployment of “the world's first 100% ‘hot water’ liquid cooled supercomputer” at Joint Institute for Nuclear Research (JI Read more…

By Staff

New Device Spots Quantum Particle ‘Fingerprint’

April 18, 2018

Majorana particles have been observed by university researchers employing a device consisting of layers of magnetic insulators on a superconducting material. The advance opens the door to controlling the elusive particle Read more…

By George Leopold

Cray Rolls Out AMD-Based CS500; More to Follow?

April 18, 2018

Cray was the latest OEM to bring AMD back into the fold with introduction today of a CS500 option based on AMD’s Epyc processor line. The move follows Cray’s introduction of an ARM-based system (XC-50) last November. Read more…

By John Russell

HPE Extreme Performance Solutions

Hybrid HPC is Speeding Time to Insight and Revolutionizing Medicine

High performance computing (HPC) is a key driver of success in many verticals today, and health and life science industries are extensively leveraging these capabilities. Read more…

Hennessy & Patterson: A New Golden Age for Computer Architecture

April 17, 2018

On Monday June 4, 2018, 2017 A.M. Turing Award Winners John L. Hennessy and David A. Patterson will deliver the Turing Lecture at the 45th International Symposium on Computer Architecture (ISCA) in Los Angeles. The Read more…

By Staff

Cray Rolls Out AMD-Based CS500; More to Follow?

April 18, 2018

Cray was the latest OEM to bring AMD back into the fold with introduction today of a CS500 option based on AMD’s Epyc processor line. The move follows Cray’ Read more…

By John Russell

IBM: Software Ecosystem for OpenPOWER is Ready for Prime Time

April 16, 2018

With key pieces of the IBM/OpenPOWER versus Intel/x86 gambit settling into place – e.g., the arrival of Power9 chips and Power9-based systems, hyperscaler sup Read more…

By John Russell

US Plans $1.8 Billion Spend on DOE Exascale Supercomputing

April 11, 2018

On Monday, the United States Department of Energy announced its intention to procure up to three exascale supercomputers at a cost of up to $1.8 billion with th Read more…

By Tiffany Trader

Cloud-Readiness and Looking Beyond Application Scaling

April 11, 2018

There are two aspects to consider when determining if an application is suitable for running in the cloud. The first, which we will discuss here under the title Read more…

By Chris Downing

Transitioning from Big Data to Discovery: Data Management as a Keystone Analytics Strategy

April 9, 2018

The past 10-15 years has seen a stark rise in the density, size, and diversity of scientific data being generated in every scientific discipline in the world. Key among the sciences has been the explosion of laboratory technologies that generate large amounts of data in life-sciences and healthcare research. Large amounts of data are now being stored in very large storage name spaces, with little to no organization and a general unease about how to approach analyzing it. Read more…

By Ari Berman, BioTeam, Inc.

IBM Expands Quantum Computing Network

April 5, 2018

IBM is positioning itself as a first mover in establishing the era of commercial quantum computing. The company believes in order for quantum to work, taming qu Read more…

By Tiffany Trader

FY18 Budget & CORAL-2 – Exascale USA Continues to Move Ahead

April 2, 2018

It was not pretty. However, despite some twists and turns, the federal government’s Fiscal Year 2018 (FY18) budget is complete and ended with some very positi Read more…

By Alex R. Larzelere

Nvidia Ups Hardware Game with 16-GPU DGX-2 Server and 18-Port NVSwitch

March 27, 2018

Nvidia unveiled a raft of new products from its annual technology conference in San Jose today, and despite not offering up a new chip architecture, there were still a few surprises in store for HPC hardware aficionados. Read more…

By Tiffany Trader

Inventor Claims to Have Solved Floating Point Error Problem

January 17, 2018

"The decades-old floating point error problem has been solved," proclaims a press release from inventor Alan Jorgensen. The computer scientist has filed for and Read more…

By Tiffany Trader

Researchers Measure Impact of ‘Meltdown’ and ‘Spectre’ Patches on HPC Workloads

January 17, 2018

Computer scientists from the Center for Computational Research, State University of New York (SUNY), University at Buffalo have examined the effect of Meltdown Read more…

By Tiffany Trader

Russian Nuclear Engineers Caught Cryptomining on Lab Supercomputer

February 12, 2018

Nuclear scientists working at the All-Russian Research Institute of Experimental Physics (RFNC-VNIIEF) have been arrested for using lab supercomputing resources to mine crypto-currency, according to a report in Russia’s Interfax News Agency. Read more…

By Tiffany Trader

How the Cloud Is Falling Short for HPC

March 15, 2018

The last couple of years have seen cloud computing gradually build some legitimacy within the HPC world, but still the HPC industry lies far behind enterprise I Read more…

By Chris Downing

Chip Flaws ‘Meltdown’ and ‘Spectre’ Loom Large

January 4, 2018

The HPC and wider tech community have been abuzz this week over the discovery of critical design flaws that impact virtually all contemporary microprocessors. T Read more…

By Tiffany Trader

Fast Forward: Five HPC Predictions for 2018

December 21, 2017

What’s on your list of high (and low) lights for 2017? Volta 100’s arrival on the heels of the P100? Appearance, albeit late in the year, of IBM’s Power9? Read more…

By John Russell

How Meltdown and Spectre Patches Will Affect HPC Workloads

January 10, 2018

There have been claims that the fixes for the Meltdown and Spectre security vulnerabilities, named the KPTI (aka KAISER) patches, are going to affect applicatio Read more…

By Rosemary Francis

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Leading Solution Providers

Deep Learning at 15 PFlops Enables Training for Extreme Weather Identification at Scale

March 19, 2018

Petaflop per second deep learning training performance on the NERSC (National Energy Research Scientific Computing Center) Cori supercomputer has given climate Read more…

By Rob Farber

Lenovo Unveils Warm Water Cooled ThinkSystem SD650 in Rampup to LRZ Install

February 22, 2018

This week Lenovo took the wraps off the ThinkSystem SD650 high-density server with third-generation direct water cooling technology developed in tandem with par Read more…

By Tiffany Trader

AI Cloud Competition Heats Up: Google’s TPUs, Amazon Building AI Chip

February 12, 2018

Competition in the white hot AI (and public cloud) market pits Google against Amazon this week, with Google offering AI hardware on its cloud platform intended Read more…

By Doug Black

HPC and AI – Two Communities Same Future

January 25, 2018

According to Al Gara (Intel Fellow, Data Center Group), high performance computing and artificial intelligence will increasingly intertwine as we transition to Read more…

By Rob Farber

New Blueprint for Converging HPC, Big Data

January 18, 2018

After five annual workshops on Big Data and Extreme-Scale Computing (BDEC), a group of international HPC heavyweights including Jack Dongarra (University of Te Read more…

By John Russell

US Plans $1.8 Billion Spend on DOE Exascale Supercomputing

April 11, 2018

On Monday, the United States Department of Energy announced its intention to procure up to three exascale supercomputers at a cost of up to $1.8 billion with th Read more…

By Tiffany Trader

Momentum Builds for US Exascale

January 9, 2018

2018 looks to be a great year for the U.S. exascale program. The last several months of 2017 revealed a number of important developments that help put the U.S. Read more…

By Alex R. Larzelere

Google Chases Quantum Supremacy with 72-Qubit Processor

March 7, 2018

Google pulled ahead of the pack this week in the race toward "quantum supremacy," with the introduction of a new 72-qubit quantum processor called Bristlecone. Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This