SC13 in Review: The Week’s Top Newsmakers

By Nicole Hemsoth

November 28, 2013

This year at SC13 we counted over 100 HPC-specific announcements that hit the wires over the course of the week, many of which were from vendors, organizations and users that we were within a short walk across the show floor in Denver.

We wanted to point to some of the key newsmakers during the show, but before we delve deeper into some of their news items, there were some stories that deemed “best in show” during the course of the event. Our selections for “can’t miss” news items for SC13 include:

To get the full news firehose from last week, scroll down to the bottom of our special SC13 coverage page for a peek at top selected items.

Let’s take a more focused look at some of the week’s top newsmakers, beginning with the one company that seems to be everywhere (and they were hard to miss with their neon green scarves)…

NVIDIA

Before we jump directly into some of NVIDIA’s specific news, there are a few figures from the Top 500 BoF session that we’d like to share to highlight a few points.

nvidia_top_500nvidiashareperf

Rather hard trends to ignore–movements that are echoed by both Intersect360 Research and IDC, which noted during their breakfast event at SC13 that “way back” in 2011, only 28.2% of the sites they surveyed had adopted coprocessors or accelerators whereas their 2013 figures showed that a remarkable 76.9% of sites had swept up acceleration. While they note that a great deal of this is still in experimental phase, it’s nonetheless significant as it could mark the shape of the Top 500 in lists to come–and with some recent news from NVIDIA that we’ll get to in a moment–more enterprise datacenters.

General trends aside, there was plenty of specific news around NVIDIA during SC13–not to mention quite a bit of action at their booth, which hosted ongoing sessions and learning/engagement activities. News-wise the GPU giant had a strong showing with the official unveiling and detailing of its K40 accelerators, which provide a boost in both processing capacity and memory over their K20X.

While you can read more about the release in this in-depth feature from last week, suffice to say, a number of system vendors climbed on board with support, including Cray, AMAX, Supermicro, Boston Limited, Exxac and others. As we reported, the upgrade can mean significant performance improvements via the activation of more cores on the GPU and also through a new GPU Boost mode that lets the CUDA cores overclock.

Outside of this uptick in GPU capability, NVIDIA had other news that could be a boon to its future expansion in further environments. First, they announced that CUDA 6.0 will be available in 2014, which they said can push an 8x improvement to applications. The update includes some long-awaited features, most notably unified memory. CUDA 6.0 also now enables new drop-in libraries and “multi-GPU scaling” which lets re-designed BLAS and FFT GPU libraries scale their performance automatically across up to 8 GPUs per node, “delivering over nine teraflops of double precision performance per node, and supporting larger workloads than ever before (up to 512GB).” This feature can be used with their new BLAS drop-in library.

In another effort to extend the reach of GPU computing, this time into the enterprise datacenter, NVIDIA and IBM announced a partnership to collaborate on GPU-accelerated versions of several of IBM’s enterprise applications on Power systems. The companies noted that this is “the first time that GPU accelerator technology will move beyond the realm of supercomputing and into the heart of enterprise-scale datacenters.”

“This partnership will bring supercomputer performance to the corporate data center, expanding the use of GPU accelerators well beyond the traditional supercomputing and technical computing markets,” said Ian Buck, vice president of Accelerated Computing at NVIDIA. “It will also provide existing supercomputing and high performance computing customers with new choices and technologies to build powerful, energy-efficient systems that drive innovation and scientific discovery.”

Aside from these items and the notable momentum on the Top500, NVIDIA’s GPUs topped the list for green supercomputers and overall efficiency. All ten of the top placeholders on the Green500 (some excellent info on that list and its evolution from one of its founders, Kirk Cameron here) were powered by GPUs. Further, the Top500 BoF shared the following to echo the efficiency sentiment…

NVIDIA

 

Cray

As we move over to Cray, it’s worth pointing to their own involvement in NVIDIA’s news last week around the coming K40. The company was among the first to announce that it would support the updated GPU across its entire supercomputer line.

Given their history in HPC, it’s easy to make the claim that Cray is hard to ignore at SC, but this has really been their year to shine in some new ways. While their financials may not reflect knockout, wild growth, they’re working to innovate ahead of the curve, expanding into markets outside of scientific computing. In addition to the focus on their YarcData division, which is dedicated to delivering system and software solutions targeted at big data use cases, the company took another step in the enterprise direction with a new framework designed to allow Hadoop some easier hooks into their XC30 line of supers.

Cray was also behind the only new addition to this year’s top ten on the Top500—the 6.27 petaflop Piz Daint system at the Swiss National Supercomputing Centre—an XC30 powered by a Xeon E5/NVIDIA K20x duo and the Aries interconnect. Cray claimed a total of 48 entries on the Top500 this year, 18 of which were in the top 100 (and 2 in the top ten—Titan and now Piz Daint). Last November (SC12) they had a total of 55 systems, in 2011 they had 40, and in 2009 they had a 25 system share. In the years prior to 2009, they tended to hover around the 20 system share (give or take a few) regularly.

If the trend holds, they’ll be grabbing an ever-growing slice of Top500 pie, especially with the addition of some new systems and updates they’ve talked about that will be ripe for ISC’s list. For now, here is the vendor system share from this year:

CraySysShare

There were a few end user stories about new and build-out implementations at the show as well, including news that Cray was awarded a contract to expand its XC30 environment at the University of Stuttgart’s “Hornet” site. When the expansion is complete, Hornet will deliver peak performance of more than seven petaflops (quadrillion mathematical calculations per second) and 2.3 petabytes of additional Cray file system storage for Lustre (CLFS). Additionally, the Center for Computational Sciences (CCS) at the University of Tsukuba in Japan has pushed an NVIDIA and Intel-powered Cray CS300 cluster into production. The new system has been combined with the University’s current Cray super, and is providing researchers and scientists with 1.1 petaflops at their disposal.

On the programming front, Cray also announced another sweep across parts of its line with the latest release of the Cray Compiler Environment (CCE), which is available now on the CS300 machines. According to Cray, this move with the CCE “provides customers with a proven, familiar and HPC-optimized compiler for highly parallel environments.”

We’ve definitely been watching Cray this year—and so have you, according to our Reader’s Choice award votes. The company was handed ten separate HPCwire awards this year– three Readers’ Choice Awards and seven Editors’ Choice Awards. These together mark the most awards Cray has won in a single year. This also marks the tenth consecutive year Cray was selected for HPCwire awards.

CrayAwards

“We are truly honored by the scope of industry recognition for Cray this year,” said Peter Ungaro, president and CEO of Cray. “Credit is due to the hundreds of Cray employees who have committed their talents and energy to helping our customers solve the world’s most difficult computing challenges. As a company, we are intently focused on being a global leader in supercomputing, and the HPCwire awards are an acknowledgement of the results of working closely with our partners and our customers.”

Data Direct Networks

DDNThere seemed to be quite a bit of activity around the Data Direct Networks booth this year at SC as they held demos and showed off some their shiniest appliances against the din of the many other storage vendors that packed the floor.

At SC13 DDN rolled out two new models of its Storage Fusion Architecture(SFA) technology – the SFA12KX and the SFA12KXE. The company showcased the SFA12KX at SC13 and discussed the advanced processor technology and optimized OS, which they say to delivers up to 48GB/s and 1.4 Million IOPS from a single appliance.

The SFA12KXE leverages DDNTM In-Storage Processing technology (see image below) to back their own EXAScaler and GRIDScaler parallel file systems, as well as customer applications running natively within the storage array. The SFA12KXE is set to deliver up to 23GB/s of file system performance and eliminates external servers and storage networking to bring it into the “converged” camp that’s been garnering a great deal of attention.

DDN_inStorage

According to Jean-Luc Chatelain, Executive Vice President of Strategy and Technology at DDN, “DDN’s SFA12KX appliances are the foundation of many of the world’s most demanding and data-intensive environments, each requiring massive performance and scale without high cost. With features such as application-aware Flash caching, Real-Time I/O and in-storage processing, our SFX12KX appliances will perform at up to 48GB/s.”

DDN gave SC13 attendees something else to talk about last week beyond their SFA news via  their annual HPC Trends survey, which found that, perhaps unsurprisingly, storage I/O performance is a top priority for those designing HPC systems for “big data” workloads. The survey, which hit a cross-section of 60 of their end users, found that 68% of those polled agree that data and data storage has become the most strategic part of the HPC datacenter. As DDN noted, “Moreover, by a margin of two to one respondents, the survey also reveals that today’s storage technologies will need to undergo massive change to hit exascale proportions.” They also found that 78% “agree that hybrid storage is the evolutionary next step for HPC storage, combining both the performance and cost efficiency benefits required of storage at exascale.”

Data Direct Networks was another company that raked in a number of awards from HPCwire this year. DDN pulled in six separate awards for its work in manufacturing, government and industry collaborations, and financial services among other areas. The company also won Best HPC Storage Technology in conjunction with TACC as well as a Reader’s choice for Best Use of HPC in Oil and Gas for its role in BP’s new Center for High Performance Computing in Houston.

IBM

Outside of one major partnership news item, IBM only had a couple of light announcements at SC13, but before we dig into those specifics, just wanted to point to a trend that we’d noted before. Take a look below at the slide from this year’s Top 500 announcement that lists the top ten systems. Notice a trend, given that we’re talking now about Big Blue? (note: yellow highlight from BoF emphasis on the one new system–not related).

IBM_Top10

While this isn’t necessarily a surprise, it’s also worth noting a few other ways that IBM stole the listings last week at SC13. Take a look for instance at the following two charts, which show both the Green 500 supercomputer list and the Graph 500, which pits systems against one another based on their performance on the graph problem benchmark.

First, the Graph500

IBM_Graph500

And now the Green500

IBM_Green500

As we showed earlier, there is some disparity between the big players in the Top 500 and their smaller counterparts. While HP has an overall Top500 system share of 39% to IBM’s 33% (but with a performance share of 31.6% to HP’s 15.5%), it’s certainly worth pointing out that IBM is taking the cake in ways that few vendors can in the three big areas that matter—performance on LINPACK, performance on big data graph problems, and overall efficiency.

Back in the section on NVIDIA we highlighted a Top500 slide that pointed to the most efficient architectures and while IBM isn’t anywhere to be found there, NVIDIA and IBM’s partnership (again, highlighted earlier in the article) could turn that graphic around by the time next November rolls around with the POWER and GPU combination.

Outside of that announcement, IBM had a relatively quiet show but if there was one new item that slipped under the radar (at least in many of the conversations this attendee was around) this was certainly one. We should also point out that the Gordon Bell prize this year was awarded to researchers tapping Sequoia, providing IBM with another notch in its SC belt.

Other Strong Showings

We wanted to highlight a few other vendors that we watched at SC13 who had noteworthy and/or voluminous news. These include Mellanox, HP (which still holds the systems share on the Top 500) and Bull. Some of their key news items are linked below.

Mellanox

Mellanox InfiniBand Adoption Grows Across TOP500 Systems

NVIDIA RDMA Technology Supported on Mellanox InfiniBand Adapters

Mellanox InfiniBand Adapter Performance Revealed

Quantum Selects Mellanox as InfiniBand Partner

Mellanox Ranked 251 on Deloitte’s Technology Fast 500

Purdue Supercomputer Utilizes Mellanox InfiniBand Adapters

HP

TACC to Deploy Maverick for Visualization and Data Analysis

HP Servers Support TOP500 Supercomputers

Bull

University of Reims Supercomputer Ranked 5th on Green500 List

Bull Receives Honors in HPCwire Readers’ and Editor’s Choice Awards

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!

Weekly Twitter Roundup (Jan. 12, 2017)

January 12, 2017

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

NSF Seeks Input on Cyberinfrastructure Advances Needed

January 12, 2017

In cased you missed it, the National Science Foundation posted a “Dear Colleague Letter” (DCL) late last week seeking input on needs for the next generation of cyberinfrastructure to support science and engineering. Read more…

By John Russell

NSF Approves Bridges Phase 2 Upgrade for Broader Research Use

January 12, 2017

The recently completed phase 2 upgrade of the Bridges supercomputer at the Pittsburgh Supercomputing Center (PSC) has been approved by the National Science Foundation (NSF) making it now available for research allocations to the national scientific community, according to an announcement posted this week on the XSEDE web site. Read more…

By John Russell

Clemson Software Optimizes Big Data Transfers

January 11, 2017

Data-intensive science is not a new phenomenon as the high-energy physics and astrophysics communities can certainly attest, but today more and more scientists are facing steep data and throughput challenges fueled by soaring data volumes and the demands of global-scale collaboration. Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

Remote Visualization: An Integral Technology for Upstream Oil & Gas

As the exploration and production (E&P) of natural resources evolves into an even more complex and vital task, visualization technology has become integral for the upstream oil and gas industry. Read more…

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

UberCloud Cites Progress in HPC Cloud Computing

January 10, 2017

200 HPC cloud experiments, 80 case studies, and a ton of hands-on experience gained, that’s the harvest of four years of UberCloud HPC Experiments. Read more…

By Wolfgang Gentzsch and Burak Yenier

A Conversation with Women in HPC Director Toni Collis

January 6, 2017

In this SC16 video interview, HPCwire Managing Editor Tiffany Trader sits down with Toni Collis, the director and founder of the Women in HPC (WHPC) network, to discuss the strides made since the organization’s debut in 2014. Read more…

By Tiffany Trader

FPGA-Based Genome Processor Bundles Storage

January 6, 2017

Bio-processor developer Edico Genome is collaborating with storage specialist Dell EMC to bundle computing and storage for analyzing gene-sequencing data. Read more…

By George Leopold

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

UberCloud Cites Progress in HPC Cloud Computing

January 10, 2017

200 HPC cloud experiments, 80 case studies, and a ton of hands-on experience gained, that’s the harvest of four years of UberCloud HPC Experiments. Read more…

By Wolfgang Gentzsch and Burak Yenier

A Conversation with Women in HPC Director Toni Collis

January 6, 2017

In this SC16 video interview, HPCwire Managing Editor Tiffany Trader sits down with Toni Collis, the director and founder of the Women in HPC (WHPC) network, to discuss the strides made since the organization’s debut in 2014. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Fast Rewind: 2016 Was a Wild Ride for HPC

December 23, 2016

Some years quietly sneak by – 2016 not so much. It’s safe to say there are always forces reshaping the HPC landscape but this year’s bunch seemed like a noisy lot. Among the noisemakers: TaihuLight, DGX-1/Pascal, Dell EMC & HPE-SGI et al., KNL to market, OPA-IB chest thumping, Fujitsu-ARM, new U.S. President-elect, BREXIT, JR’s Intel Exit, Exascale (whatever that means now), NCSA@30, whither NSCI, Deep Learning mania, HPC identity crisis…You get the picture. Read more…

By John Russell

AWI Uses New Cray Cluster for Earth Sciences and Bioinformatics

December 22, 2016

The Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), headquartered in Bremerhaven, Germany, is one of the country's premier research institutes within the Helmholtz Association of German Research Centres, and is an internationally respected center of expertise for polar and marine research. In November 2015, AWI awarded Cray a contract to install a cluster supercomputer that would help the institute accelerate time to discovery. Now the effort is starting to pay off. Read more…

By Linda Barney

Addison Snell: The ‘Wild West’ of HPC Disaggregation

December 16, 2016

We caught up with Addison Snell, CEO of HPC industry watcher Intersect360, at SC16 last month, and Snell had his expected, extensive list of insights into trends driving advanced-scale technology in both the commercial and research sectors. Read more…

By Doug Black

KNUPATH Hermosa-based Commercial Boards Expected in Q1 2017

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more…

By John Russell

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

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

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

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

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

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

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

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

Leading Solution Providers

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

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

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

New Genomics Pipeline Combines AWS, Local HPC, and Supercomputing

September 22, 2016

Declining DNA sequencing costs and the rush to do whole genome sequencing (WGS) of large cohort populations – think 5000 subjects now, but many more thousands soon – presents a formidable computational challenge to researchers attempting to make sense of large cohort datasets. Read more…

By John Russell

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

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

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

Deep Learning Paves Way for Better Diagnostics

September 19, 2016

Stanford researchers are leveraging GPU-based machines in the Amazon EC2 cloud to run deep learning workloads with the goal of improving diagnostics for a chronic eye disease, called diabetic retinopathy. The disease is a complication of diabetes that can lead to blindness if blood sugar is poorly controlled. It affects about 45 percent of diabetics and 100 million people worldwide, many in developing nations. Read more…

By Tiffany Trader

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