Microsoft Aims for Client-Cluster-Cloud Unification in Technical Computing

By Michael Feldman

September 27, 2010

Last week’s High Performance Computing Financial Markets conference in New York gave Microsoft an opening to announce the official release of Windows HPC Server 2008 R2, the software giant’s third generation HPC server platform. It also provided Microsoft a venue to spell out its technical computing strategy in more detail, a process the company began in May.

The thrust of Microsoft’s new vision is to converge the software environment for clients, clusters and clouds so that HPC-style applications can run across all three platforms with minimal fuss for developers and end users. Between the parallel support in Visual Studio, .NET, Parallel LINQ, Dryad, HPC server and Windows Azure, the company has built an impressive portfolio of software for scale-out applications. At the center of the technical computing strategy is Microsoft’s HPC server, currently Windows HPC Server 2008 R2, that can hook into the desktop today and will be able to extend into the company’s Azure cloud in the very near future.

According to Bill Hilf, general manager of Microsoft’s Technical Computing Group, the multicore phenomenon and cloud computing have conspired to make parallel programming pervasive. Of course, parallelism has been the mainstay of high performance computing for years, but until a few years ago it was optional almost everywhere else. That’s all changed. Clients, clusters and clouds are leveling the playing field for scalable applications, or as Hilf put it: “Parallelism is becoming an increasingly mainstream need.”

To Microsoft, this translates into a business opportunity. Between Visual Studio libraries and .NET on the client, HPC server on the cluster, and Azure in the cloud, the company has managed to get its software in all the right places. In fact, no other single vendor can match its horizontal breadth of system software, especially parallel runtimes. The challenge is to generalize the model so that customers can leverage their applications across all three platforms, without extensive rewriting.

The new Windows HPC Server 2008 R2 starts down that path with the built-in capability to dynamically tap into idle Windows 7 workstations and treat them like extra nodes on the cluster. The idea is that on weekends and at night, these idle PCs can be used to expand a company’s local compute cluster for the price of the electricity to run them. For loosely-coupled apps (that is, applications that don’t require InfiniBand-level latency and bandwidth) the extra processing power can be used to run a variety of embarrassingly parallel applications.

Along those same lines, the new HPC server has the more general capability to dynamically shrink and expand cluster resources, nodes or otherwise. So if more important work arrives, that job receives priority for compute resources. That could entail jobs with lower priority getting kicked off nodes (presumably gracefully) until the higher priority work completes.

Corralling idle workstations and dynamically prioritizing cluster resources is just working at the edges. The real end game is to provide an HPC path to their Azure cloud. Once again, the idea is to make cloud resources appear as a seamless extension to the local compute cluster or desktop, so developers don’t have to rewrite their applications to scale up.

Adding Azure instances to a cluster was demonstrated at the High Performance Computing Financial Markets event last week. According to Kyril Faenov, the second GM of the Microsoft’s Technical Computing Group, the HPC Server/Azure integration is already working in the lab today. Currently they are signing up beta customers to kick the tires, and are planning for an initial release later this fall. That version will be the first of a set of rolling updates that will take place over the next year or so to add new cloud-to-cluster capabilities. The first version will be able to handle embarrassingly parallel (that is, non-MPI) apps, since it requires a relatively simple programming model.

As a follow-up to that effort, Azure will be outfitted for MPI. When that happens, a typical HPC workload can burst into the cloud from any Windows HPC cluster. According to Faenov, Microsoft is already evaluating the type of network interconnect and infrastructure that will be needed for this class of tightly-coupled HPC apps, and should have a version of the cloud offering ready to go sometime in 2011. “Azure is going to be a really good platform for HPC in the not-to-distant future,” he said.

Also on the docket is that ability to host legacy Windows apps in the cloud (without having to be rejiggered for the native Azure programming framework, that is). So popular applications like Excel will be able to execute on Azure and have access to a very elastic parallel platform. To accomplish this, Azure will have to incorporate VM support for Windows, something it does not currently have. “Once VMs become available, you could conceivably run any application in the cloud,” explained Faenov.

Excel is already halfway to the cloud, inasmuch as the latest HPC server supports a parallelized version of the spreadsheet app for cluster execution. Microsoft estimates they already have 300 million Excel customers, and some of the workbooks they develop are big enough to benefit from a cluster and cloud setup. This is especially true of in the financial services arena where quants build super-sized Excel models for applications like portfolio analysis and options pricing.

At the HPC Financial Markets event, Microsoft demonstrated a 60-fold speedup for an Excel pricing sensitivity workbook when they parallelized a serial version to run on a 500-node cluster. By adding some simple parallel hooks into the workbook to distribute the Excel calculations across the cluster, run time was reduced from two hours to two minutes.

“The reason we’re particularly excited about Excel and HPC is that it truly demonstrates our vision for technical computing,” said Faenov, “which is to bring high performance computing capabilities to more users and bring it into new markets beyond traditional HPC.”

Splicing all the parallel computing technologies under the Microsoft umbrella into a coherent-looking whole would be quite a coup for the software maker. As it stands today, clients, clusters and clouds operate more or less in their own worlds. A Hadoop or MapReduce application in the cloud or in a Linux cluster is going to be very different from its implementation on a client. Yet fundamentally, they’re all going to be parallelized in a similar fashion.

“As we pass through this inflection point, as we have to start writing software in a new way… it requires the entire technology industry to have a sea change in the way they think about computational problems,” said Hilf. “We must think of all things in a parallel way.”

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!

AWS Embraces FPGAs, ‘Elastic’ GPUs

December 2, 2016

A new instance type rolled out this week by Amazon Web Services is based on customizable field programmable gate arrays that promise to strike a balance between performance and cost as emerging workloads create requirements often unmet by general-purpose processors. Read more…

By George Leopold

AWS Launches Massive 100 Petabyte ‘Sneakernet’

December 1, 2016

Amazon Web Services now offers a way to move data into its cloud by the truckload. Read more…

By Tiffany Trader

Weekly Twitter Roundup (Dec. 1, 2016)

December 1, 2016

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

HPC Career Notes (Dec. 2016)

December 1, 2016

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the high performance computing community. Read more…

By Thomas Ayres

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

IBM and NSF Computing Pioneer Erich Bloch Dies at 91

November 30, 2016

Erich Bloch, a computational pioneer whose competitive zeal and commercial bent helped transform the National Science Foundation while he was its director, died last Friday at age 91. Bloch was a productive force to be reckoned. During his long stint at IBM prior to joining NSF Bloch spearheaded development of the “Stretch” supercomputer and IBM’s phenomenally successful System/360. Read more…

By John Russell

Pioneering Programmers Awarded Presidential Medal of Freedom

November 30, 2016

In an awards ceremony on November 22, President Barack Obama recognized 21 recipients with the Presidential Medal of Freedom, the Nation’s highest civilian honor. Read more…

By Tiffany Trader

Seagate-led SAGE Project Delivers Update on Exascale Goals

November 29, 2016

Roughly a year and a half after its launch, the SAGE exascale storage project led by Seagate has delivered a substantive interim report – Data Storage for Extreme Scale. Read more…

By John Russell

AWS Launches Massive 100 Petabyte ‘Sneakernet’

December 1, 2016

Amazon Web Services now offers a way to move data into its cloud by the truckload. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

Seagate-led SAGE Project Delivers Update on Exascale Goals

November 29, 2016

Roughly a year and a half after its launch, the SAGE exascale storage project led by Seagate has delivered a substantive interim report – Data Storage for Extreme Scale. Read more…

By John Russell

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

HPE-SGI to Tackle Exascale and Enterprise Targets

November 22, 2016

At first blush, and maybe second blush too, Hewlett Packard Enterprise’s (HPE) purchase of SGI seems like an unambiguous win-win. SGI’s advanced shared memory technology, its popular UV product line (Hanna), deep vertical market expertise, and services-led go-to-market capability all give HPE a leg up in its drive to remake itself. Bear in mind HPE came into existence just a year ago with the split of Hewlett-Packard. The computer landscape, including HPC, is shifting with still unclear consequences. One wonders who’s next on the deal block following Dell’s recent merger with EMC. Read more…

By John Russell

Intel Details AI Hardware Strategy for Post-GPU Age

November 21, 2016

Last week at SC16, Intel revealed its product roadmap for embedding its processors with key capabilities and attributes needed to take artificial intelligence (AI) to the next level. Read more…

By Alex Woodie

SC Says Farewell to Salt Lake City, See You in Denver

November 18, 2016

After an intense four-day flurry of activity (and a cold snap that brought some actual snow flurries), the SC16 show floor closed yesterday (Thursday) and the always-extensive technical program wound down today. Read more…

By Tiffany Trader

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Why 2016 Is the Most Important Year in HPC in Over Two Decades

August 23, 2016

In 1994, two NASA employees connected 16 commodity workstations together using a standard Ethernet LAN and installed open-source message passing software that allowed their number-crunching scientific application to run on the whole “cluster” of machines as if it were a single entity. Read more…

By Vincent Natoli, Stone Ridge Technology

IBM Advances Against x86 with Power9

August 30, 2016

After offering OpenPower Summit attendees a limited preview in April, IBM is unveiling further details of its next-gen CPU, Power9, which the tech mainstay is counting on to regain market share ceded to rival Intel. Read more…

By Tiffany Trader

AWS Beats Azure to K80 General Availability

September 30, 2016

Amazon Web Services has seeded its cloud with Nvidia Tesla K80 GPUs to meet the growing demand for accelerated computing across an increasingly-diverse range of workloads. The P2 instance family is a welcome addition for compute- and data-focused users who were growing frustrated with the performance limitations of Amazon's G2 instances, which are backed by three-year-old Nvidia GRID K520 graphics cards. Read more…

By Tiffany Trader

Think Fast – Is Neuromorphic Computing Set to Leap Forward?

August 15, 2016

Steadily advancing neuromorphic computing technology has created high expectations for this fundamentally different approach to computing. Read more…

By John Russell

The Exascale Computing Project Awards $39.8M to 22 Projects

September 7, 2016

The Department of Energy’s Exascale Computing Project (ECP) hit an important milestone today with the announcement of its first round of funding, moving the nation closer to its goal of reaching capable exascale computing by 2023. Read more…

By Tiffany Trader

HPE Gobbles SGI for Larger Slice of $11B HPC Pie

August 11, 2016

Hewlett Packard Enterprise (HPE) announced today that it will acquire rival HPC server maker SGI for $7.75 per share, or about $275 million, inclusive of cash and debt. The deal ends the seven-year reprieve that kept the SGI banner flying after Rackable Systems purchased the bankrupt Silicon Graphics Inc. for $25 million in 2009 and assumed the SGI brand. Bringing SGI into its fold bolsters HPE's high-performance computing and data analytics capabilities and expands its position... Read more…

By Tiffany Trader

ARM Unveils Scalable Vector Extension for HPC at Hot Chips

August 22, 2016

ARM and Fujitsu today announced a scalable vector extension (SVE) to the ARMv8-A architecture intended to enhance ARM capabilities in HPC workloads. Fujitsu is the lead silicon partner in the effort (so far) and will use ARM with SVE technology in its post K computer, Japan’s next flagship supercomputer planned for the 2020 timeframe. This is an important incremental step for ARM, which seeks to push more aggressively into mainstream and HPC server markets. Read more…

By John Russell

IBM Debuts Power8 Chip with NVLink and Three New Systems

September 8, 2016

Not long after revealing more details about its next-gen Power9 chip due in 2017, IBM today rolled out three new Power8-based Linux servers and a new version of its Power8 chip featuring Nvidia’s NVLink interconnect. Read more…

By John Russell

Leading Solution Providers

Vectors: How the Old Became New Again in Supercomputing

September 26, 2016

Vector instructions, once a powerful performance innovation of supercomputing in the 1970s and 1980s became an obsolete technology in the 1990s. But like the mythical phoenix bird, vector instructions have arisen from the ashes. Here is the history of a technology that went from new to old then back to new. Read more…

By Lynd Stringer

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Intel Launches Silicon Photonics Chip, Previews Next-Gen Phi for AI

August 18, 2016

At the Intel Developer Forum, held in San Francisco this week, Intel Senior Vice President and General Manager Diane Bryant announced the launch of Intel's Silicon Photonics product line and teased a brand-new Phi product, codenamed "Knights Mill," aimed at machine learning workloads. Read more…

By Tiffany Trader

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

Beyond von Neumann, Neuromorphic Computing Steadily Advances

March 21, 2016

Neuromorphic computing – brain inspired computing – has long been a tantalizing goal. The human brain does with around 20 watts what supercomputers do with megawatts. And power consumption isn’t the only difference. Fundamentally, brains ‘think differently’ than the von Neumann architecture-based computers. While neuromorphic computing progress has been intriguing, it has still not proven very practical. Read more…

By John Russell

Dell EMC Engineers Strategy to Democratize HPC

September 29, 2016

The freshly minted Dell EMC division of Dell Technologies is on a mission to take HPC mainstream with a strategy that hinges on engineered solutions, beginning with a focus on three industry verticals: manufacturing, research and life sciences. "Unlike traditional HPC where everybody bought parts, assembled parts and ran the workloads and did iterative engineering, we want folks to focus on time to innovation and let us worry about the infrastructure," said Jim Ganthier, senior vice president, validated solutions organization at Dell EMC Converged Platforms Solution Division. Read more…

By Tiffany Trader

Container App ‘Singularity’ Eases Scientific Computing

October 20, 2016

HPC container platform Singularity is just six months out from its 1.0 release but already is making inroads across the HPC research landscape. It's in use at Lawrence Berkeley National Laboratory (LBNL), where Singularity founder Gregory Kurtzer has worked in the High Performance Computing Services (HPCS) group for 16 years. Read more…

By Tiffany Trader

Micron, Intel Prepare to Launch 3D XPoint Memory

August 16, 2016

Micron Technology used last week’s Flash Memory Summit to roll out its new line of 3D XPoint memory technology jointly developed with Intel while demonstrating the technology in solid-state drives. Micron claimed its Quantx line delivers PCI Express (PCIe) SSD performance with read latencies at less than 10 microseconds and writes at less than 20 microseconds. Read more…

By George Leopold

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