Princeton Research Computing Introduces Newest TIGER Supercomputer

July 9, 2018

July 9, 2018 — Replacing a cluster installed in 2012, Princeton’s new flagship computer, TIGER, arrived quietly on campus in March and was put through months of routine testing and debugging before being officially unveiled in late May. Several tours and a reception were held at the High-Performance Computing Research Center (HPCRC) on the Forrestal Campus during Reunions.

The TIGER HPC computing cluster in the High-Performance Computing Research Center, Princeton’s 47,000-square-foot data center.
Photo by Florevel Fusin-Wischusen, Princeton Institute for Computational Science and Engineering

At close to six times the power of its predecessor, TIGER is funded by the University provost, the Princeton Institute for Computational Science and Engineering (PICSciE) and several University schools and departments.

TIGER represents “Princeton University’s mission to advance learning through scholarship and research of unsurpassed quality,” said Jay Dominick, vice president for information technology and the University’s chief information officer.

“Computation has become an indispensable tool in accomplishing that mission,” Dominick said. “With the newest addition to our High-Performance Computing suite, Princeton continues to equip its faculty with the most advanced computational tools available. The TIGER cluster, and the remarkable staff that support it, are symbolic of the University’s commitment to sustained excellence.”

Jeroen Tromp, PICSciE’s director and the Blair Professor of Geology and professor of geosciences and applied and computational mathematics, said: “There’s such a wide range of research crucial to humanity, from investigations of fusion energy to new frontiers in genomics, that is now dependent on computers to analyze huge complex data sets and turn predictions into testable hypotheses. In many cases, our success as researchers hinges on our access to cutting-edge supercomputing power.”

Tromp’s own recent advances in medical imaging technology combined computational power with techniques originally developed for the study of earthquakes and subterranean structures.

Jim Stone, the Lyman Spitzer Jr., Professor of Theoretical Physics and professor of astrophysical sciences and applied and computational mathematics, said that “In addition to code development, this new faster machine allows us to investigate many new astrophysics problems.”

Stone, who is chair of astrophysical sciences, said his graduate students are using TIGER to study the flow of matter onto compact objects such as neutron stars in close binary systems; to investigate how nuclear reactions change the structure of accretion flows formed when stars pass nearby to black holes, so-called tidal disruption events; and to learn more about the radiation emitted in the first few seconds of a supernovae explosion when the shock first breaks out of the stellar envelope.

A computer simulation of water vapor in the atmosphere from a global model developed at NOAA/GFDL, run by Gabriel Vecchi’s lab. Much of the data was calculated on the new TIGER cluster in the Princeton University High-Performance Computing Research Center, and rendered in the PICSciE Visualization Lab.
Photo by Florevel Fusin-Wischusen, Princeton Institute for Computational Science and Engineering

“TIGER represents a significant increase in the amount of core-hours available to campus researchers per year,” added Stone. “This machine has the latest and most advanced Intel processors. Each CPU has 20 different computing cores that can be used simultaneously. So we will be testing and upgrading our application codes to work effectively on this new computer. Having a local computer to do such development work is far more effective than using remote resources and allows us to apply for time on larger machines elsewhere.”

In fields such as climate-change science, researchers are leveraging supercomputing to improve the accuracy and precision of modeling, simulations and predictions. Gabriel Vecchi, professor of geosciences and the Princeton Environmental Institute, said: “The University’s supercomputing capacity is allowing us to run some of the world’s most advanced climate modeling in an academic environment, which is a unique capability. Thanks to the new TIGER supercomputer, Princeton undergraduates and graduate students are able to ask questions about the fundamental controls on the climate system, and how climate change impacts weather events, with very novel methods.”

Curtis Hillegas, associate CIO of research computing, underscored the enthusiasm among all the partners to contribute to the success of this upgrade. “This means a great deal to their own departmental research and to the overall advancement of data science and computational research at the University, and everyone recognizes that.”

The new TIGER, a hybrid system with a combination of Intel Skylake chips and NVIDIA Pascal P100 GPUs, has a theoretical peak speed of 2607 teraFLOPS, or TFLOPS, explained William Wichser, associate director of research computing systems and storage. “A computer running at 1 TFLOP can perform a trillion floating-point operations per second. To put it in perspective, that speed is sometimes explained as the equivalent of doing one calculation a second for the next 31,688.77 years.”

“In our system,” Wichser added, “some of our computer nodes are CPUs only, while others have the GPUs attached, four per node. Typically, there are codes that require one or the other architecture. Our TIGER cluster allows for all of this to happen in one place rather than having different clusters for different tasks.”

To celebrate TIGER, Princeton Research Computing tasked University Creative Director Laurel Masten Cantor with the creation of a new logo, as well as a large “mixed media over lightbox” art piece designed specifically for the soaring atrium of the LEED-certified High-Performance Computing Research Center building.

The challenge, said Cantor, was how to give visual form to the abstract concepts of data and computing. “My solution was to weave several specific scientific visualization images created via supercomputing by Princeton researchers with the graphic identity of the University. Color, texture, typography and tigers all come into play.”

Source: Princeton University

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!

Russian and American Scientists Achieve 50% Increase in Data Transmission Speed

September 20, 2018

As high-performance computing becomes increasingly data-intensive and the demand for shorter turnaround times grows, data transfer speed becomes an ever more important bottleneck. Now, in an article published in IEEE Tra Read more…

By Oliver Peckham

IBM to Brand Rescale’s HPC-in-Cloud Platform

September 20, 2018

HPC (or big compute)-in-the-cloud platform provider Rescale has formalized the work it’s been doing in partnership with public cloud vendors by announcing its Powered by Rescale program – with IBM as its first named Read more…

By Doug Black

Democratization of HPC Part 1: Simulation Sheds Light on Building Dispute

September 20, 2018

This is the first of three articles demonstrating the growing acceptance of High Performance Computing especially in new user communities and application areas. Major reasons for this trend are the ongoing improvements i Read more…

By Wolfgang Gentzsch

HPE Extreme Performance Solutions

Introducing the First Integrated System Management Software for HPC Clusters from HPE

How do you manage your complex, growing cluster environments? Answer that big challenge with the new HPC cluster management solution: HPE Performance Cluster Manager. Read more…

IBM Accelerated Insights

Clouds Over the Ocean – a Healthcare Perspective

Advances in precision medicine, genomics, and imaging; the widespread adoption of electronic health records; and the proliferation of medical Internet of Things (IoT) and mobile devices are resulting in an explosion of structured and unstructured healthcare-related data. Read more…

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Gordon Bell Prize used Summit in their work. That’s impres Read more…

By John Russell

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Nvidia Accelerates AI Inference in the Datacenter with T4 GPU

September 14, 2018

Nvidia is upping its game for AI inference in the datacenter with a new platform consisting of an inference accelerator chip--the new Turing-based Tesla T4 GPU- Read more…

By George Leopold

DeepSense Combines HPC and AI to Bolster Canada’s Ocean Economy

September 13, 2018

We often hear scientists say that we know less than 10 percent of the life of the oceans. This week, IBM and a group of Canadian industry and government partner Read more…

By Tiffany Trader

Rigetti (and Others) Pursuit of Quantum Advantage

September 11, 2018

Remember ‘quantum supremacy’, the much-touted but little-loved idea that the age of quantum computing would be signaled when quantum computers could tackle Read more…

By John Russell

How FPGAs Accelerate Financial Services Workloads

September 11, 2018

While FSI companies are unlikely, for competitive reasons, to disclose their FPGA strategies, James Reinders offers insights into the case for FPGAs as accelerators for FSI by discussing performance, power, size, latency, jitter and inline processing. Read more…

By James Reinders

Update from Gregory Kurtzer on Singularity’s Push into FS and the Enterprise

September 11, 2018

Container technology is hardly new but it has undergone rapid evolution in the HPC space in recent years to accommodate traditional science workloads and HPC systems requirements. While Docker containers continue to dominate in the enterprise, other variants are becoming important and one alternative with distinctly HPC roots – Singularity – is making an enterprise push targeting advanced scale workload inclusive of HPC. Read more…

By John Russell

At HPC on Wall Street: AI-as-a-Service Accelerates AI Journeys

September 10, 2018

AIaaS – artificial intelligence-as-a-service – is the technology discipline that eases enterprise entry into the mysteries of the AI journey while lowering Read more…

By Doug Black

TACC Wins Next NSF-funded Major Supercomputer

July 30, 2018

The Texas Advanced Computing Center (TACC) has won the next NSF-funded big supercomputer beating out rivals including the National Center for Supercomputing Ap Read more…

By John Russell

IBM at Hot Chips: What’s Next for Power

August 23, 2018

With processor, memory and networking technologies all racing to fill in for an ailing Moore’s law, the era of the heterogeneous datacenter is well underway, Read more…

By Tiffany Trader

Requiem for a Phi: Knights Landing Discontinued

July 25, 2018

On Monday, Intel made public its end of life strategy for the Knights Landing "KNL" Phi product set. The announcement makes official what has already been wide Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

ORNL Summit Supercomputer Is Officially Here

June 8, 2018

Oak Ridge National Laboratory (ORNL) together with IBM and Nvidia celebrated the official unveiling of the Department of Energy (DOE) Summit supercomputer toda Read more…

By Tiffany Trader

New Deep Learning Algorithm Solves Rubik’s Cube

July 25, 2018

Solving (and attempting to solve) Rubik’s Cube has delighted millions of puzzle lovers since 1974 when the cube was invented by Hungarian sculptor and archite Read more…

By John Russell

AMD’s EPYC Road to Redemption in Six Slides

June 21, 2018

A year ago AMD returned to the server market with its EPYC processor line. The earth didn’t tremble but folks took notice. People remember the Opteron fondly Read more…

By John Russell

House Passes $1.275B National Quantum Initiative

September 17, 2018

Last Thursday the U.S. House of Representatives passed the National Quantum Initiative Act (NQIA) intended to accelerate quantum computing research and developm Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours Playlist

Altair @ SC17


AMD @ SC17


ASRock Rack @ SC17

ASRock Rack



DDN Storage @ SC17

DDN Storage

Huawei @ SC17


IBM @ SC17


IBM Power Systems @ SC17

IBM Power Systems

Intel @ SC17


Lenovo @ SC17


Mellanox Technologies @ SC17

Mellanox Technologies

Microsoft @ SC17


Penguin Computing @ SC17

Penguin Computing

Pure Storage @ SC17

Pure Storage

Supericro @ SC17


Tyan @ SC17


Univa @ SC17


Sandia to Take Delivery of World’s Largest Arm System

June 18, 2018

While the enterprise remains circumspect on prospects for Arm servers in the datacenter, the leadership HPC community is taking a bolder, brighter view of the x86 server CPU alternative. Amongst current and planned Arm HPC installations – i.e., the innovative Mont-Blanc project, led by Bull/Atos, the 'Isambard’ Cray XC50 going into the University of Bristol, and commitments from both Japan and France among others -- HPE is announcing that it will be supply the United States National Nuclear Security Administration (NNSA) with a 2.3 petaflops peak Arm-based system, named Astra. Read more…

By Tiffany Trader

D-Wave Breaks New Ground in Quantum Simulation

July 16, 2018

Last Friday D-Wave scientists and colleagues published work in Science which they say represents the first fulfillment of Richard Feynman’s 1982 notion that Read more…

By John Russell

MLPerf – Will New Machine Learning Benchmark Help Propel AI Forward?

May 2, 2018

Let the AI benchmarking wars begin. Today, a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – releas Read more…

By John Russell

TACC’s ‘Frontera’ Supercomputer Expands Horizon for Extreme-Scale Science

August 29, 2018

The National Science Foundation and the Texas Advanced Computing Center announced today that a new system, called Frontera, will overtake Stampede 2 as the fast Read more…

By Tiffany Trader

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

GPUs Power Five of World’s Top Seven Supercomputers

June 25, 2018

The top 10 echelon of the newly minted Top500 list boasts three powerful new systems with one common engine: the Nvidia Volta V100 general-purpose graphics proc Read more…

By Tiffany Trader

The Machine Learning Hype Cycle and HPC

June 14, 2018

Like many other HPC professionals I’m following the hype cycle around machine learning/deep learning with interest. I subscribe to the view that we’re probably approaching the ‘peak of inflated expectation’ but not quite yet starting the descent into the ‘trough of disillusionment. This still raises the probability that... Read more…

By Dairsie Latimer

Summit Supercomputer is Already Making its Mark on Science

September 20, 2018

Summit, now the fastest supercomputer in the world, is quickly making its mark in science – five of the six finalists just announced for the prestigious 2018 Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This