An interview with Jorge Titinger, CEO, SGI.

SCSD: Tell our readers about your company. What’s your main line ofbusiness?

JT: SGI is a global leader in high-performance computing (HPC). Weare focused on helping customers solve their most demanding businessand technology challenges by delivering technical computing, Big Dataanalytics, cloud computing and peta-scale storage solutions that accelerate time to dis-covery, innovation and profitability. Financially strong and building on 25 years ofinnovation with more than 625 granted and pending patents, SGI has more than 1,300employees worldwide, serves more than 6,500 customers and is distributed in 50 coun-tries.

SCSD: What was the most significant event or series of events affecting your

An interview with Eva Cherry, President and CEO of SiliconMechanics, Inc.

SCSD: Tell our readers about your company. What is your main line ofbusiness?

EC: Silicon Mechanics, Inc. is an industry-leading provider ofrackmount server, storage and high-performance computing solu-tions. Using the latest innovations in hardware and software technology, we work in collaboration with our customers to design and build the most efficient,cost-effective technology solution for their needs. Silicon Mechanics has beenrecognized as one of the fastest growing companies in the Greater SeattleTechnology Corridor.

SCSD: What type of clients do you serve?

An interview with Bruce McCormick, CEO, CognimemTechnologies Inc.

SCSD: What does Cognimem do?

BM: Cognimem stands for “cognitive memory,” and what we do is build general pur-pose artificial intelligence hardware. It is different than traditional computing in that itoperates purely in parallel, and it is taught versus programmed.

Traditional computing, like what is in your smartphone or personal computer, hasreached its limits in going faster in a serial fashion. You probably have noticed that noone talks about faster CPUs anymore, and when you try to put many of these proces-sors together it is very difficult to program.

What we build is practical and commercially available hardware that is pat-terned after how we biologically process information. That is, massively parallelpattern recognition. We do not have physically separate processor and memory

Continued on Page 17

An interview with Rob Clyde, CEO, Adaptive Computing.

SCSD: What are the challenges your customers face today?

RC: Today’s enterprise needs to rely on collected data and simulation results to stay competitive in the marketplace. No longercan CEOs make business decisions based on hunches and what they can physically extract from industry research. Businesses areturning to their CIOs and data scientists to leverage big data to help predict likely outcomes and make data-driven decisions. Unfortunately, the increase in compute and data intensive workflows creates a logjam within the data center.

SCSD: Does Adaptive help alleviate the logjam and solve these big data challenges?

Continued on Page 12

SGI PROVIDES EXPERTISE FOR BIG DATA

SILICON MECHANICS LAUNCHES THIRD ANNUAL RESEARCH GRANT PROGRAM

COGNIMEM BUILDS CHIPS THAT ARE TAUGHT, NOT PROGRAMMED

ADAPTIVE COMPUTING ANNOUNCES NEW PRODUCT

Continued on Page 12 Continued on Page 17

O se r C o mmu n ica tio n s G ro u p D en ve rMo n da y, N o vember 1 8 , 2 0 1 3

AN INDEPENDENT PUBLICATION NOT AFFILIATED WITH SC

Supe r C ompu te r Show Da i lyMonday, November 1 8 , 2 0 1 34

AN INDEPENDENT PUBLICATIONNOT AFFILIATED WITH SC

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Director of Sales

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Graphic Designers

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Super Computer Show Daily is published byOser Communications Group ©2013.

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CLUSTERED SYSTEMS INTRODUCESSUPER-NODE PLATFORM

Application-specific compute clustershave been around for a long time as adhoc assemblies of equipment to meetdiverse compute, storage and networkingneeds. A cohesive specification anddeployment approach encompassinghardware, software and networking hasbeen absent. Clustered Systems andInfiscale have cooperatively developedSuper Nodes to address these issues.

A Super Node comprises an intelli-gently managed cluster. It can be standalone, or more commonly, an element ofa much larger compute system. It is

instantiated within an integrated power,cooling and networking infrastructure inwhich any compute and storage modulecan be deployed. Super Nodes are readi-ly optimized for specific workloads andgeneral purpose shared computing envi-ronments by adding blades comprisingmulti-core, multiple CPU servers, many-core accelerators, high-density micro-servers, large RAM footprint servers,multi-terabyte disk storage units, SSDacceleration/cache units, and networkingswitches and interfaces.

Infiscale's Software Defined Scalable

Infrastructure (SDSI)knits the whole thingtogether with SuperNode Manager(SNM), easy-to-useconfiguration, opti-mization, and I/Ocontrol of alldeployed SuperNodes; PERCEUS,whole infrastructureOS and applicationstack provisioning; Abstractual, intelligentsystem management and workload sched-uling; GravityFS, distributed, parallel filesystem; and GravityPark Open ParallelToolkit, advanced, next-generation

ABERDEEN FINDS BALANCE FOR SSD DATA STORAGE

By Niso Levitas, Research andDevelopment Manager, Aberdeen LLC

It is getting harder to pick the right SSDstorage these days. It is possible to buy ashared storage completely made of PCI-E Memory cards at the cutting edge. Youcan buy a solution completely made ofenterprise level SSD drives, or you cango for a hybrid, with a couple of SSDs forcaching and good old mechanical harddrives for the rest. This line-up startsfrom extremely expensive and goesdown to cheap.

The key is to target your perform-ance, capacity and your budget. In ourlabs, we explored all the options foraffordable shared SSD storage that doesnot break the bank. The test results, com-paring only mechanical with hybrid SSDsolutions, were disappointing. All of thebuzz about hybrid RAID controllers wentdown the drain.

We started testing all SSD drivearrays. We tested a set of 16 drives withgood endurance for shared storage. Itstarted around 500K IOPS and after anhour of data bombarding, the perform-

ance declined andleveled off at100K IOPS. Thechoice of driveswas not good. Weneeded to find theright drives tokeep the perform-ance high, and thelife of the drives should be suitable forshared enterprise use.

After testing numerous sets of drives,we hit 320K IOPS and once the resultsstayed there for a day, we were happy.This is the sweet spot for 4K RandomReads, sustained. It is the perfect perform-ance for applications up to 14-15TB on an

Continued on Page 17

Continued on Page 17

Su pe r C o mpu te r Sh o w D a i lyMo n da y, N o vember 1 8 , 2 0 1 36

ONE STOP SYSTEMS DELIVERS HIGH-DENSITY 8 MILLION IOPS FLASH STORAGE ARRAY

One Stop Systems, Inc. (OSS) unveilsits Fusion-Powered Flash Storage Array(FSA) product line to customersdemanding extreme storage perform-ance in a small footprint. The FSA is theideal platform for high-speed datarecording and processing, lightning fastdata response time, high-availability andflexibility. The latest FSA renditionoffers enterprise, financial and intelli-gence, surveillance as well as reconnais-sance (ISR) applications for the fastest,most flexible and powerful turnkey stor-age solution to date.

Fusion-io ioScale flash coupledwith four 128Gbps OSS PCIe 3.0 serv-er links in the FSA provide the extremeperformance demanded by today’sapplications. Uniting these innovations

creates a 100TB network attached flasharray that can reach 40GB/s and morethan 8 million IOPS.

The FSA fits in most datacenterswith its compact size and light-weight. Ata height of 3U and 24" deep, the 19" rackmount FSA packs up to 32 FusionioScale modules into four individuallyremovable sleds. The sleds and enclosureare made of lightweight, rugged alloyswith redundant power and filtered aircooling optimized to the installationenvironment. The local IPMI moduleoptimizes the enclosure parameters whilealso allowing the power user to set fea-tures through SNMP or the built-in userinterface based on the overall policy ofthe installation. The small footprint,removable sleds and light weight allows

one-person installation in data centers,airborne ISR platforms, mobile sheltersand portable transit cases. The 3U x 18"x 3.4" sleds fit easily into the enclosure toprotect your investment and your data inhighly secure environments.

The FSA supports OSS PCIe directattached storage as well as Fiber ChannelSAN or Infiniband NAS storage optionsvia the Fusion-io ION Data Acceleratorsoftware. In direct attached mode, aninternal switch matrix allows from one tofour servers to have direct access to theFusion ioScale memory in multiple con-figurations. The sleds act in concert orseparately to fit the changing needs ofany storage application while supportingany RAID level available to the servers.In network attached mode, the ION DataAccelerator software provides a fiberchannel or Infiniband path across servers,virtual machines and more concurrentusers than the direct attached mode. Upto 100TB of shared ioMemory becomesavailable with industry leading perform-ance, minimum latency and comprehen-

sive visibility.The FSA achieves end-to-end high

availability at every level in the system.At the ioMemory level, Fusion-ioAdaptive Flashback software increasesflash reliability and endurance byrebuilding data at the individual NANDbanks. At the module level, the FusionioScale flash memory offers the reliabili-ty proven in the world’s largest datacen-ters. At the chassis level, the OSS switchmatrix, removable sleds and IPMI mod-ule allow for environmental monitoring,physical rerouting of storage traffic andhot-swap of the ioScale memory plat-form. At the array level, the Fusion-ioION Data Accelerator software providesreplication clustering and SNMP real-time performance and physical arraymonitoring.

During SC13, visit One Stop Systems at booth 1137. For more infor-mation, visit www.onestopsystems.com,call 760-745-9883 or email rruple@onestopsystems.com.

CIENA DEMONSTRATES PROTOTYPE AT SC13

At Supercomputing, Ciena will demon-strate a prototype of an open, modularmulti-layer Software Defined Network(SDN) controller and autonomic intelli-gence applications for use on carriergrade wide area networks (WANs). TheSDN will connect to the industry’s firstlive, fully functional internationalresearch testbed that unites all of the keypacket, optical and software buildingblocks required to demonstrate and provethe benefits of software-defined, multi-layer service provider WANs.

The testbed was created in collab-oration with Ciena’s research and edu-cation (R&E) partners CANARIE,Internet2, StarLight and ESnet. Itspans more than 2500km and connectsCiena labs in Ottawa, Canada andHanover, Md. with the R&E communi-ty via StarLight in Chicago. An impor-

tant component of Ciena’s OPn archi-tecture, SDN supports open, applica-tion-driven and analytics-enhancedcontrol of wide area networks, layingthe groundwork for more efficientcapacity utilization and new advancedresearch applications.

The testbed leverages OpenFlowacross both the packet and transportlayers, is supported by an open archi-tecture carrier-scale SDN controllerand intrinsic multi-layer operation, andincorporates real-time analytics soft-ware applications.

The SDN controller incorporates amulti-layer path computation elementand leverages OpenFlow v1.3 withtransport extensions across packet,OTN and photonic layers for end-to-end flow/connection control of the fol-lowing network elements: a prototype 4

Tb/s packet switch, Ciena’s 6500Packet Optical Platform supportingpacket, OTN and photonic switching,and Ciena’s 5410 ReconfigurableSwitching System supporting OTNswitching. It also supports a north-bound RESTful API that supportsCiena-developed autonomic operationsintelligence applications that include amulti-layer optimizer and a dynamicpricing engine.

The multi-layer optimizer applica-tion will show how operators can com-bine a global view of the current networkstate, an analytics-enabled prediction offuture network state based on historicaldata, and a global view of all currentservice demands to calculate how to real-locate network capacity and regroomexisting services to minimize capitalexpenditures, latency, blocking proba-blility and other metrics.

Based on a historical and currentglobal view of all the networkresources and service demands, theanalytics-based dynamic pricing engine

application will show how operatorscan use pricing to simultaneously max-imize revenue and minimize idleresources. It does this by presenting ahigher price when network resourcesupply is projected to be scarce and/ornew demands are expected to be high,and presenting a lower price when theopposite is projected. The customerthen selects whichever price andparameter combination provides themthe most value. Over time, the enginelearns the price points that will incentthe optimal aggregate behavior.

Collectively, these demonstrationswill show the value of creating andmaintaining a fully open, multi-layerSDN-powered WAN in today’s operatornetworks, in both the network and theback office.

During SC13, visit Ciena at booth 1924.For more information, go towww.ciena.com, call 800-207-3714 or+44 20 7012 5555 or emailpr@ciena.com.

NUMASCALE PROVIDES PLUG-AND-PLAY SMP, SHARED MEMORY AT A CLUSTER PRICE

By Trond Smestad, CEO, Numascale

Innovative developers can now accessthe power of shared memory systems forthe price point and ease-of-use of a clus-ter by utilizing Numascale’sNumaConnect, a simple add-on card forcommodity servers. The hardware is nowdeployed in systems with more than1,700 cores, and the memory addressingcapability is virtually unlimited.

The big differentiator withNumaConnect, compared to otherhigh-speed interconnect technologies,is its shared memory and cachecoherency. These features allow pro-grams to access any memory locationand any memory mapped I/O device ina multiprocessor system with a highdegree of efficiency. They providescalable systems with a unified pro-

gramming model that stays the samefrom the small multi-core machinesused in laptops and desktops to thelargest imaginable single system-image machines that may contain thou-sands of processors. The architecture iscommonly classified as ccNuma (orNuma) but the interconnect system canalternatively be used as a low latencyclustering interconnect.

Numascale systems are deployedby simply installing a card with a PCIform factor into a standard server. Thisapproach makes it possible to takeadvantage of the great price breakoffered by mass-produced servers withvolume applications outside the seg-ment covered by NumaConnect.Servers from IBM, Supermicro andDell provide excellent building blocksfor large memory systems in combina-

tion with NumaConnect cards.The design is implemented in a chip,

the NumaChip, with an external cache inDRAM, the NumaCache. The NumaChipcan address up to 4,095 nodes in a singleimage system, and each node can havemultiple processor cores. AMD proces-sors can address 256 terabytes of data,and this does limit the total memoryspace of the systems. A directory-basedcache coherence protocol handles scal-ing, with significant numbers of nodessharing data to avoid overloading theinterconnect between nodes withcoherency traffic, which would seriouslyreduce real data throughput.

Basic ring topology with distrib-uted switching allows for a number ofdifferent interconnect configurationsthat are more scalable than those pro-vided by most other interconnectswitch fabrics. Ring topology alsoeliminates the need for a centralizedswitch and includes inherent redundan-cy for multidimensional topologies.The topologies used are two- and three-dimensional topologies (torus) thathave the advantage of built-in redun-

dancy, as opposed to systems based oncentralized switches where the switchrepresents a single point of failure.

Distributed switching reduces thecost of the system because there is noextra switch hardware to pay for. It alsoreduces the amount of rack spacerequired to hold the system, as well as thepower consumption and heat dissipationfrom the switch hardware and the associ-ated energy loss of the power supply.

Shared memory and OS simplifyparallelization tasks. Running a single-image standard OS is an advantage forreliability, operations and system man-agement. The hardware integrates seam-lessly with the processor cache systemand takes advantage of standard opti-mization techniques.

NumaConnect provides an afford-able solution by delivering all the advan-tages of expensive shared memory com-puting for a cluster price point.

Visit Numascale during SC13 at booth2505. For more information, go towww.numascale.com, call 832-470-8200or email ts@numascale.com.

Supe r C ompu te r Show Da i lyMonday, November 1 8 , 2 0 1 31 2

ASROCK INC. PRESENTS ASROCK RACK

ASRock Inc. was established in 2002,specializing in the field of motherboards.ASRock strives to build up its ownbrand. With 3C design concepts (creativ-ity, consideration and cost-effectiveness),the company explores the limits of moth-erboards manufacturing while payingattention to environmental issues at thesame time, developing products with theconsideration of being eco-friendly.

ASRock has been growing fast, andhas become one of the three largest moth-erboard brands, with headquarters inTaipei and Taiwan as well as branches in

Europe and the U.S. Since 2012, themanufacturer has been positioned as aleader in this segment in Korea. It’s alsothe second largest ASRock motherboardmanufacturer in Japan.

The young and vibrant company tar-gets the mainstream segment of themotherboard business, earning a reputa-tion around the world market with itsreliability and proficiency. In 2013,ASRock is throwing its enthusiasm intoserver product lines, and within sixmonths the ASRock team will be offeringthe following creative server mother-

boards and barebones: 1U cold storagebarebone, 2U SSD cache barebone, 3UGPGPU card barebone, 4U 60 3.5 inchHDD barebone, Mini ITX Intel Avotonboard, and Half Width Intel Denlowboard.

Seeing the growth potential of thisindustry segment, ASRock decided tofund a new subsidiary, ASRock RackInc. ASRock Rack Inc. aims to bringthe market a fast, flexible, efficientproduct design and distribute businessmodel, which should have the abilityto rock the industry. “Like Zara orUniQlo in the clothing business, wewant to bring a similar fast responseproduct design and distribution modelto the server industry. We believe it iswhere the industry is going, and can

bring enormous value to our customersand the whole market,” said LL Shiu,Chief Operating Officer of ASRockand Chief Executive Officer ofASRock Rack.

View the exciting video of the ASRockextreme computing server atwww.youtube.com/watch?v=LIYDuJV5D-0&list=UUK2t9Vtqq7AYKXCShevGcmA&index=2.

For more product information,please visit www.asrock.com/news/show/CeBit2013.

During SC13, visit ASRock at booth4322. For more information, visitwww.asrock.com, call +886-2-55599600or email ASRockRack_sales@asrockrack.com.

VISUALIZE AT EXASCALE WITH KITWARE

Advances in high-performance comput-ing and data acquisition technologies areallowing researchers to contemplatemore complex problems than ever beforein many scientific, engineering and med-ical fields. The research community isfacing the challenge of how to manage,analyze and visualize data of suchunprecedented size in a meaningful way.With expertise in high-performance, dis-tributed visualization and data process-ing, Kitware is addressing these issues.

As a leader in scientific visualiza-tion, Kitware is developing the next-gen-eration infrastructure that will powervisualization at the exascale.Visualization and analysis are critical tounderstanding complex data, but current

approaches require a paradigm shift inorder to scale with advances in high-per-formance computing. To tackle this chal-lenge, Kitware is further developing theVisualization Toolkit (VTK) andParaView, the leading open-source toolsfor scientific visualization and analysis.

VTK is the industry standard, anopen-source, freely available softwaresystem for 3D visualization and data pro-cessing. A true cross-platform solutiondesigned to scale from mobile devices upto supercomputers, VTK supports scien-tific visualization, information visualiza-tion and medical image processing.

ParaView is an open-source applica-tion that leverages the robust visualiza-tion algorithms of VTK to provide data

analysis and visualization in an end-userenvironment. ParaView users can quick-ly build visualizations to analyze theirdata using qualitative and quantitativetechniques, and explore data interactive-ly in 3D. ParaView was developed toanalyze extremely large datasets usingdistributed memory computingresources, but it is also a powerful tool ona standard desktop or laptop computer.

To augment these products,Kitware is contributing to the collabora-tive efforts on the Data Analysis atExtreme (DAX) toolkit and PortableData-Parallel Visualization andAnalysis Library (PISTON). Both ofthese efforts are targeted to deliveringextremely scalable data analysis func-tionality using current and next genera-tion processors including multi- andmany-core architectures. With thearchitectures of DAX and PISTON,researchers will be able to leverage

VTK and ParaView to move their workto the exascale.

To support its visualization andanalysis products, Kitware provides cus-tomers with a variety of advanced soft-ware development services. As a flexibleand agile organization, Kitware has expe-rience both in leading large-scale collab-orative teams to tackle some of today’stoughest research challenges, and indeveloping custom, proprietary softwaresolutions for commercial customers.Representatives are available at booth4207 to demonstrate how Kitware’s high-performance computing and visualiza-tion services can be tailored to the needsof both research organizations and com-mercial product companies.

Visit Kitware at booth 4207 during SC13.For more information, visit www.kitware.com, call 518-371-3971 oremail kitware@kitware.com.

programmed with instructions. Rather,our memory is merged together withprocessing and is taught. Like us, thishardware chip technology is massivelyparallel, operates at low wattage andcan scale to provide very efficient per-formance per watt.

SCSD: You talk about creating chips thatcan be “taught” versus being pro-grammed. What does this mean?

BM: You teach the chips much in thesame way you teach a young student howto read, speak or recognize one objectversus another. Once taught, you can

replicate it for many users.For instance, if you wanted the chip

to recognize my face versus yours, youpresent several examples of your faceand mine to the inputs of the device. Asyou show it examples, it will store theseas models and will automatically learnwhat is unique that differentiates you ver-sus me.

When it is given an example it hasn’tseen before, it compares it to all the pat-terns it learned in parallel and gives adecision.

The chip learns as fast as it recog-nizes and it doesn’t matter if it is images,video, voice or data from a spreadsheet,as long as it is converted to digital infor-mation.

Cognimem (Cont’d. from p. 1) SCSD: What potential applications willthis technology enable?

BM: As I mentioned, this patternrecognition hardware is based on verysimple, but highly scalable memoryprocessing elements. You can just use afew of them – or a lot – depending onthe application needs, with no changein latency for a decision. So applica-tions can range from using a smallnumber of them to monitor a set of sig-nals or control a motor, to using morefor doing gesture recognition locally ona handheld to large arrays handlingsearching through a data base to detectmalicious viruses or find that scene in avideo that you are looking for. We are

very good at looking at unstructureddata in parallel and making fuzzy deci-sions based on incomplete data. Soapplications like machine vision forparts assembly or product inspection,finding a fingerprint match against mil-lions instantaneously for crime sceneinvestigation or gesture control to getrid of all those remotes are just a fewexamples. There are many practicalexamples that can utilize the technolo-gy long before truly autonomousmachines become an everyday reality.

During SC13, visit Cognimem at booth3609. For more information, visitwww.cognimem.com, call 916-358-9483or email info@cognimem.com.

EC: We have a broad range of aca-demic and research, government andpublic sector, and business and indus-try clients. Our impressive client listincludes Duke University,Massachusetts Institute of Technology,Lawrence Livermore NationalLaboratories and the National Oceanicand Atmospheric Administration.

SCSD: What will you be showcasing atSC13?

EC: We have a really full program hereat SC13. We’ll be launching our 3rdAnnual Research Grant Program,exhibiting the research successes

achieved by prior awardee Saint LouisUniversity, sponsoring a team in theSC13 Student Cluster Competition, aswell as underwriting IndianaUniversity’s booth. We will also bedemonstrating our zStax StorCore uni-fied storage appliance, an enterprise-level software-defined storage platformbased on open-source ZFS technologyand powered by NexentaStor™.

SCSD: You have an interesting personalhistory that influences your leadershipstyle and philosophy. Can you sharesome of this with us?

EC: I have had much luck in my lifeand career, and most importantly, I haveto thank the many great people that

Silicon Mechanics (Cont’d. from p. 1) helped me along the way. Havinggrown up in the former East Germany, Isaw the effects of a general disregardfor an individual’s personal growth andachievement. I have come to believeand experience that enduring successrequires leadership that shows an unwa-vering ambition for the organization tothrive, and a passion for building teamsthat enjoy working together towards acommon goal.

SCSD: Tell us more about how you putthis into practice.

EC: First, attracting the right people tojoin our team is critical. I firmly believethat people drive company objectives,not the other way around. Second, we

grow the company based on our corecompetencies. It’s easy to get distractedand reach for new emerging technolo-gies and markets, but unless it builds onwhat we can do best, we won’t do it.Lastly, good decision making is basedon accurate data. To obtain accuratedata we need to report and review allfacts, whether they are good or bad. Aculture of honest communication andtransparency, internal and external toour organization, is core to the successof our business.

Visit Silicon Mechanics and meet EvaCherry at booth 3126 during SC13. Formore information, visit www.siliconme-chanics.com, call 425-424-0000, oremail info@siliconmechanics.com.

Supe r C ompu te r Show Da i ly 1 7Monday, November 1 8 , 2 0 1 3

company in the past year?

JT: The broadening focus on Big Data andneed for our expertise. SGI has been adriving force in high-performance comput-ing for nearly two decades, and has builtseveral of the world’s fastest supercomput-ers. What surprises many is that SGI is alsoa significant global storage provider, ship-ping more than 600PBs annually, and hashelped customers manage some of theworld’s largest data environments cost-efficiently for many years as well.

While there is much hype in the mar-ket, the reality is Big Data is revolutioniz-ing industries. We are at an early stage asbusiness and government agencies are justbeginning to understand how. SGI’s her-itage in HPC and high-volume storage ishelping customers accelerate this under-standing and unlock value within Big Datato achieve business breakthroughs.

SCSD: What do you anticipate to be yourgreatest challenge in the year ahead?

JT: Awareness in the commercialenterprise. SGI solutions are utilized tofulfill highly data intensive applicationneeds in petascale environments span-ning federal government, defense andstrategic systems, physical and life sci-ences, manufacturing design, financialservices and more.

However, these applications general-ly fall outside the mainstream enterpriseso many of the advantages we bring,from solution design and power up andgo deployment, to cost-savings andworld-class support, are less well known.With the challenge of Big Data reachingbeyond historically massive data envi-ronments to mainstream IT, new solu-tions are needed. We open a lot of eyeswhen SGI solutions are first introduced.

SCSD: Are you introducing any new

SGI (Cont’d. from p. 1) products?

JT: Yes. In addition to continuing inno-vation of our market leading super com-puter, SGI ICE X, and unparalleledshared memory system, SGI UV, we areintroducing three new solutions: SGIInfiniteData Cluster, delivering break-through compute and storage density thatscales seamlessly from a small number ofcluster nodes to several thousand; SGIObjectStore, delivering innovativeobject-based storage; and new intelligentmanagement of active archives for ourSGI InfiniteStorage Gateway. These newsolutions enable organizations to performBig Data analytics with faster and greaterinsight, achieve the extreme capacity andscale needed for Big Data storage, andmanage storage investments more costeffectively.

SCSD: What distinguishes your productsfrom the competition?

JT: SGI achieves competitive differenti-ation through compute and storage solu-tions built with innovative architecturaladvantages utilizing industry standardcomponents and tight integration. Bydesigning for performance, power, densi-ty and scalability, optimizing intercon-nections between layers and engineeringto reduce overhead and acceleratedeployment, SGI solutions deliver indus-try leading speed, scale and efficiency.

SCSD: How can our readers find outmore about your company?

JT: Please stop by the SGI booth 2709,as we have many solution experts onhand, as well as product demonstrations,white papers and more. Please also visitus at www.sgi.com.

Visit SGI at booth 2709 during SC13. Formore information, visit www.sgi.com, call800-800-7441 or email nehrman@sgi.com.

RC: Adaptive Computing enables largeenterprises in oil and gas, financial, man-ufacturing, research and government toperform simulations and analyze big datafaster, more accurately and most costeffectively. Moab manages and schedulesall available datacenter resources includ-ing HPC, cloud and big data, as one,turning the logjam into an orderly work-flow that greatly increases throughputand productivity. Because Moab overseespriorities, resource requirements, SLAsand more, it can adapt to business priori-ties, delivering the invaluable insights theenterprise needs to make game-changing,data-driven decisions.

SCSD: What sets Adaptive apart andallows you to process intensive simula-tions and big data analysis better thanyour competition?

RC: Adaptive Computing is a pioneer inprivate/hybrid cloud, technical comput-ing and large-scale scheduling, holding30-plus patents with more than 20 morepending. We are one of the few compa-nies with extensive experience in allthree areas – HPC, Cloud and Big Data.Adaptive manages many of the world’slargest private/hybrid cloud and technicalcomputing environments with Moab, itsaward-winning optimization and sched-uling software. Moab’s recent recogni-tions include the Gartner Cool Vendor,HPCWire’s Reader’s Choice and the RedHerring 100. Adaptive has more than 300global customers that make the world abetter place by developing cancer treat-ments, helping first responders duringnatural disasters, predicting the weather,discovering the origins of the universe,lowering energy prices and emissionsand so much more. All of this would notbe possible without a product like Moab.

Adaptive Computing (Cont’d. from p. 1) SCSD: What are the new products and technologies you’ve recentlyannounced?

RC: Just a few weeks ago, we announcedfive newly awarded patents for our intel-ligent power management that enableMoab to significantly increase energyefficiency. The patent concepts include:calendar-based power capping, whichhelps navigate power quotas by identify-ing optimal times to operate data-inten-sive simulations; on-demand power man-agement, which optimizes workload byproperly allocating resources and power-ing off servers as needed; and predictiveplacement, which employs power-awarepolicies to manage energy consumptionwithin data centers more evenly and saveon cooling costs

Adaptive will announce the MoabTask Manager at SC13, which greatlyincreases throughput on short/small

jobs. Moab Task Manager allows 100xfaster throughput, launches 10 jobs pernode per second and reduces latency.Stay tuned for more details in theannouncement released first thingtomorrow morning.

In booth 3113, we are demoing ourMoab Task Manager along with many ofour other products: Moab HPC SuiteEnterprise and Remote VisualizationEditions; Adaptive WorkloadOptimization Pack with Moab HPCSuite, Intel Messaging Passing InterfaceLibrary and HP Insight ClusterManagement Utility Connector; andTopology Aware Scheduling for 3-DTorus Networks.

During SC13, visit Adaptive Computingat booth 3113. For more information,visit www.adaptivecomputing.com, call801-717-3700 or email solutions@adaptivecomputing.com.

code compilation.Saying it’s a software defined sys-

tem makes it sound easy, but it takes atightly integrated and flexible hardwareplatform to provide the Super Node foun-dation. Clustered Systems ExaBlade issuch a platform. The base unit of theExaBlade is a five chassis blade rackinclusive of a power distribution andcooling. With a minimum of 100kWpower, scalable to twice that, quiet twophase cooling, and PUEs approaching 1,it simply eliminates power, power densi-

ty and cooling as limitations.The front of each of the five inde-

pendent chassis comprises 16 com-pute/storage blades and a PDU blade.Each chassis can be configured as aSuper Node or the entire rack can becombined into one larger Super Node.These front blades are interconnectedby four rear networking blades in eachchassis. These provide a redundant GbEmanagement network and a redundantPCIe interconnect between all bladesand other chassis. All the memory on allthe compute blades is shared via thePCIe network. All the storage on the

Clustered Systems (Cont’d. from p. 4) disk blades may be integrated into alarger parallel file system that mayencompass the Super Node or the com-plete HPC system.

The Super Node can be accessed viafront connectors on the compute bladesor by virtual I/O through the intercon-necting PCIe network to an externalinterface box.

There are no placement limitationsas every slot of every chassis is identical.The user need only specify the type andnumber of required blades to satisfy theSuper Node performance requirements.

Currently, Clustered Systems offers

dual two socket Intel S2600JF serverblades and PCIe switch blades. Comingsoon are a full range of complementaryproducts including dual processor-coprocessor blades, disk storage blades,flash memory storage blades, data base(large memory) blades and high-perform-ance network blades with direct IB and10GbE connectivity.

During SC13, visit Clustered SystemsCompany, Inc. at booth 742. For moreinformation, visit www.clusteredsys-tems.com, call 408-327-8100 or emailphil@clusteredsystems.com.

all SSD array. As a result, Aberdeen isdelivering this high performance alongwith affordability and our industry leadingfive year warranty to back up the quality.

Now the challenge is to push this per-formance out of the box. There are two10GBASE-T ports in the system asdefault, and 6 PCI-E 3.0 x8 slots availablefor that purpose. We performed our testswith default iSCSI function on our NAS

Aberdeen (Cont’d. from p. 4) and utilized default IPMI KVM capabilityto monitor the results when we were away.

AberNAS N21 all SSD NAS, 320KIOPS 4K Random Reads sustained with afive year warranty at an affordable price.Onboard dual 10GbE ports. 6 PCI-E 3.0

x8 available expansion slots.

Visit Aberdeen during SC13 at booth1738. For more information, visitwww.aberdeeninc.com, call 800-500-9526or email salesinfo@aberdeeninc.com

FIFTEEN INVITED SPEAKERS TAKE THE PODIUM AT SC13

Fifteen speakers are set to share their per-spectives with the supercomputing com-munity as part of the invited talks pro-gram at SC13. These talks provide along-term perspective and put multiple

research insights into broader context. This year’s speakers will address

the ways in which HPC and supercom-puting are shaping modern scientificand engineering discovery, and the

ways in which HPC is shaping the rela-tionships among nations.

Some of the speakers are: 2011Nobel Laureate Saul Perlmutter, whowill explain how integrating big dataled to the discovery of the accelerationof the universe's expansion; 2010National Medal of Science Winner,Warren Washington, who will reviewchallenges facing users of the

Community Earth System Model forclimate and Earth system simulations;Northwestern University’s Alok N.Choudhary, who will address the ques-tion, "What are the challenges andopportunities for extreme scale sys-tems to be an effective platform?”; andThe University of California atBerkeley’s Vern Paxson, who willexamine scaling issues.