PNNL’s CENATE Quickly Winning Industry Support and Collaboration

By John Russell

July 6, 2016

Getting to the root of how things work has informed and progressed all aspects of scientific discovery. As computers and applications grow in complexity, seemingly poised to enter a new phase beyond the limits of Moore’s Law and CMOS technology, enlightening how they work best is paramount.

With new resources from a growing list of industry partners, the Center for Advanced Technology Evaluation – known as CENATE – a computing proving ground at Pacific Northwest National Laboratory supported by the U.S. Department of Energy’s Office of Advanced Scientific Computing Research, is rapidly expanding its capabilities to assist the high-performance computing community by providing diverse methods to steer optimal system designs and enhance overall performance. (See HPCwire article, PNNL Launches Center for Advanced Technology Evaluation)

Through its integrated approach to combining advanced concepts and technology, the CENATE measure–model–design pipeline remains unique among similar early analysis capability providers. Adolfy Hoisie, CENATE’s director and PNNL’s chief scientist for computing, cited how the CENATE technology maturity pipeline can be applied to analyzing advanced architectures that are expected to emerge from the union of diverse technologies, for example, minimizing data movement, which is a central concern in achieving optimality for performance and power.

Print

The CENATE Technology Maturity Pipeline

“Novel networking concepts, which we currently are examining with Data Vortex, are designed for extremely high bandwidths obtained through innovative topologies, while novel memory concepts, such as stacked memory, enable memory operations at extreme bandwidths and complex patterns,” he explained. “So, memories and networks can impact performance and power. Within CENATE, we link advanced concepts to assess the impact of such hypothetical architectures on DOE applications and systems. Rather than look at these as separate technologies, we can enable the next step: we link the two through modeling and simulation, experimentation, and measurement.”

The Data Vortex work is a good example of a promising new technology that is drawing attention.

Speaking at ISC 2016, Thomas Sterling, chief scientist and associate director at the Center for Research on Extreme Scale Technologies (CREST), Indiana University, noted, “The Data Vortex computer is a very different animal. It is created around a new and very different class of communication. [It’s] focused on lightweight fine grained messages, in fact very fine grained, each payload is only 64 bits with an address space available of 64 bits so that’s quite on the edge. Its high-rate, high bandwidth network [has] both low latency and its contention free.”

Sterling suggested the Data Vortex approach may be most useful as a domain specific or a domain narrow machine as there are a wide range of applications that are particularly well suited for its architecture. Exploring new technologies such as this is a central mission for CENATE.

In addition to providing a closer look at the interface between technologies and how these interactions influence system designs, CENATE’s approach uses measurement of advanced technologies combined with modeling and simulation to explore their possible impact on future large-scale HPC deployments.

Well-equipped Research Engine

CENATE recently has seen its slate of analysis equipment and testbeds expand to include advanced technologies from industry, including IBM, Mellanox, NVIDIA, Micron, Penguin Computing, and the previously noted Data Vortex Technologies.

These technologies include:

CENAT Technologies.2

CENATE also is exploring a new flexible cluster that will emulate large networks within a limited footprint, as well as combine optical circuit switching (OCS) for software-defined networking (SDN)/dynamic bandwidth allocations.

CENATE Seeks to Spread the Word

Adolfy Hoisie, CENATE’s director and PNNL’s chief scientist for computing
Adolfy Hoisie, CENATE’s director and PNNL’s chief scientist for computing

Access, outreach, and HPC community involvement are a critical part of CENATE’s research activities. The CENATE team is working on providing an access portal for the center’s instrumentation and testbeds with priority for other DOE-sponsored researchers. They are evaluating methods for disseminating research to the community (with accommodations for analysis activities conducted under non-disclosure agreements). A soon-to-be-established Advisory Board will inform some of the best practices for these mechanisms.

CENATE also benefits from interaction with large-scale, production-level computing facilities in the Molecular Science Computing capability within the Environmental Molecular Sciences Laboratory, a DOE Office of Biological and Environmental Research-sponsored user facility available for use by the global research community. Currently, EMSL is housing CENATE’s machine room, and efforts to further couple CENATE research applications with PNNL-based resources and other computing systems throughout the DOE complex are ongoing.

For more information or to access CENATE, contact Lead Scientist, Darren Kerbyson.

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!

Data Vortex Users Contemplate the Future of Supercomputing

October 19, 2017

Last month (Sept. 11-12), HPC networking company Data Vortex held its inaugural users group at Pacific Northwest National Laboratory (PNNL) bringing together about 30 participants from industry, government and academia t Read more…

By Tiffany Trader

AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

Researchers Scale COSMO Climate Code to 4888 GPUs on Piz Daint

October 17, 2017

Effective global climate simulation, sorely needed to anticipate and cope with global warming, has long been computationally challenging. Two of the major obstacles are the needed resolution and prolonged time to compute Read more…

By John Russell

HPE Extreme Performance Solutions

Transforming Genomic Analytics with HPC-Accelerated Insights

Advancements in the field of genomics are revolutionizing our understanding of human biology, rapidly accelerating the discovery and treatment of genetic diseases, and dramatically improving human health. Read more…

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Cluster Competition coverage has come to its natural home: H Read more…

By Dan Olds

Data Vortex Users Contemplate the Future of Supercomputing

October 19, 2017

Last month (Sept. 11-12), HPC networking company Data Vortex held its inaugural users group at Pacific Northwest National Laboratory (PNNL) bringing together ab Read more…

By Tiffany Trader

AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Read more…

By Dan Olds

Intel Delivers 17-Qubit Quantum Chip to European Research Partner

October 10, 2017

On Tuesday, Intel delivered a 17-qubit superconducting test chip to research partner QuTech, the quantum research institute of Delft University of Technology (TU Delft) in the Netherlands. The announcement marks a major milestone in the 10-year, $50-million collaborative relationship with TU Delft and TNO, the Dutch Organization for Applied Research, to accelerate advancements in quantum computing. Read more…

By Tiffany Trader

Fujitsu Tapped to Build 37-Petaflops ABCI System for AIST

October 10, 2017

Fujitsu announced today it will build the long-planned AI Bridging Cloud Infrastructure (ABCI) which is set to become the fastest supercomputer system in Japan Read more…

By John Russell

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Intel Debuts Programmable Acceleration Card

October 5, 2017

With a view toward supporting complex, data-intensive applications, such as AI inference, video streaming analytics, database acceleration and genomics, Intel i Read more…

By Doug Black

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute Read more…

By Tiffany Trader

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Leading Solution Providers

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

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Intel Launches Software Tools to Ease FPGA Programming

September 5, 2017

Field Programmable Gate Arrays (FPGAs) have a reputation for being difficult to program, requiring expertise in specialty languages, like Verilog or VHDL. Easin Read more…

By Tiffany Trader

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

Intel, NERSC and University Partners Launch New Big Data Center

August 17, 2017

A collaboration between the Department of Energy’s National Energy Research Scientific Computing Center (NERSC), Intel and five Intel Parallel Computing Cente Read more…

By Linda Barney

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