NCSA SPIN Intern Daniel Johnson Develops Open Source HPC Python Package

November 30, 2017

Nov. 30 — At the National Center for Supercomputing Applications (NCSA), undergraduate SPIN (Students Pushing INnovation) intern Daniel Johnson joined NCSA’s Gravity Group to study Albert Einstein’s theory of general relativity, specifically numerical relativity. Daniel has used the open source, numerical relativity software, the Einstein Toolkit on the Blue Waters supercomputer to numerically solve Einstein’s general relativity equations to study the collision of black holes, and the emission of gravitational waves from these astrophysical events. During his SPIN internship, Daniel developed an open source, Python package to streamline these numerical analyses in high performance computing (HPC) environments.

This image shows the collision of two black holes with masses of 28 to 36 and 21 to 28 times the mass of the sun, respectively. The spheres at the center represent the event horizons of the black holes. The size of the black holes has been increased by a factor of 4 to enhance visibility. Elevation and color of the surface gives an indicating of the strength of the gravitational field at that point. Orange is strongest, dark blue is weakest. The collision happened between 1.1 to 2.2 billion light years from Earth, and was observed from a direction near the Eridanus constellation. The mass equivalent of 3 suns was converted to gravitational radiation and radiated into space. Authors: Numerical simulation: R. Haas, E. Huerta (University of Illinois); Visualization: R. Haas (University of Illinois)

Just this month, Johnson’s paper “Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations” was accepted by Classical and Quantum Gravity, a remarkable feat for an undergraduate student, and one that will benefit the numerical relativity community.

“With a long history of developing scientific software and tools, NCSA provides a rich environment where HPC experts, faculty, and students can work together to solve some of the most challenging problems facing us today,” said NCSA Director Bill Gropp. “This is a great example of what young researchers can accomplish when immersed in an exciting and supportive research program.”

“It’s very gratifying to have an undergraduate’s work published in a world-leading journal in relativity,” said Eliu Huerta, research scientist at NCSA who mentored Johnson. “Given the lack of open source tools to post-process the data products of these simulations in HPC environments, there was an opportunity for Daniel to create something that could be very useful to the numerical relativity community at large.”

When Albert Einstein published his theory of general relativity in 1915, he probably couldn’t have imagined its transformative impact across science domains, from mathematics to computer science and cosmology. Einstein would have been pleased to foresee that the advent of HPC would eventually allow detailed numerical studies of his theory, providing key insights into the physics of colliding neutron stars and black holes—the sources of gravitational waves that the LIGO (Laser Interferometer Gravitational-Wave Observatory) detectors observed for the first time on September 14, 2015, and which are now becoming routinely detected by ground-based gravitational wave detectors.

Johnson developed an open-source Python package that seeks to streamline the process of monitoring and post-processing the data products of large scale numerical relativity campaigns in HPC environments. This, in turn, will allow researchers an end-to-end infrastructure within the Einstein Toolkit where they can submit, monitor, and post-process numerical relativity simulations.

“This whole project came to be when we were trying to compute numerical relativity waveforms from a large dataset we had created with the Einstein Toolkit in Blue Waters,” said Johnson. “We realized it would be much more efficient if we could post-process numerical relativity simulations directly on Blue Waters without having to move the massive amounts of data to another environment. I was able to adapt existing code and functions to Python, and now we can post-process huge amounts of data more efficiently than before.”

“It’s become clear that open source software is a key component in most research today, and increasingly, researchers are coming to realize that it can be an intellectual contribution on its own, separate from any one research result, as can be seen in the fact that Classical and Quantum Gravity accepted this software paper,” said Daniel S. Katz, assistant director of Science Software and Applications at NCSA. “Young researchers like Daniel are pushing the limits of what open source software can do and then getting credit for their software, which is a victory for the entire science community.”

The software Johnson developed, POWER, is an open-source Python package of great use to the larger numerical relativity community. It will lay the groundwork for future research and simulations on high performance computing systems across the globe.

“The SPIN program allowed me to combine my interests in physics and computer science,” said author and SPIN Intern Daniel Johnson. “The SPIN program provided me an avenue to learn about computational astrophysics, which is what I now plan to study in graduate school.”

About the National Center for Supercomputing Applications

The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign provides supercomputing and advanced digital resources for the nation’s science enterprise. At NCSA, University of Illinois faculty, staff, students, and collaborators from around the globe use advanced digital resources to address research grand challenges for the benefit of science and society. NCSA has been advancing one third of the Fortune 50® for more than 30 years by bringing industry, researchers, and students together to solve grand challenges at rapid speed and scale.

About NCSA’S Students Pushing INnovation (SPIN) Program

NCSA has a history of nurturing innovative concepts, and some of the best ideas have come from highly motivated, creative undergraduate students. The SPIN (Students Pushing INnovation) internship program was launched to provide University of Illinois undergraduates with the opportunity to apply their skills to real challenges in high-performance computing, software, data analysis and visualization, cybersecurity, and other areas of interest to NCSA.


Source: NCSA

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!

IBM Launches Commercial Quantum Network with Samsung, ORNL

December 14, 2017

In the race to commercialize quantum computing, IBM is one of several companies leading the pack. Today, IBM announced it had signed JPMorgan Chase, Daimler AG, Samsung and a number of other corporations to its IBM Q Net Read more…

By Tiffany Trader

TACC Researchers Test AI Traffic Monitoring Tool in Austin

December 13, 2017

Traffic jams and mishaps are often painful and sometimes dangerous facts of life. At this week’s IEEE International Conference on Big Data being held in Boston, researchers from TACC and colleagues will present a new Read more…

By HPCwire Staff

AMD Wins Another: Baidu to Deploy EPYC on Single Socket Servers

December 13, 2017

When AMD introduced its EPYC chip line in June, the company said a portion of the line was specifically designed to re-invigorate a single socket segment in what has become an overwhelmingly two-socket landscape in the d Read more…

By John Russell

HPE Extreme Performance Solutions

Explore the Origins of Space with COSMOS and Memory-Driven Computing

From the formation of black holes to the origins of space, data is the key to unlocking the secrets of the early universe. Read more…

Microsoft Wants to Speed Quantum Development

December 12, 2017

Quantum computing continues to make headlines in what remains of 2017 as several tech giants jockey to establish a pole position in the race toward commercialization of quantum. This week, Microsoft took the next step in Read more…

By Tiffany Trader

IBM Launches Commercial Quantum Network with Samsung, ORNL

December 14, 2017

In the race to commercialize quantum computing, IBM is one of several companies leading the pack. Today, IBM announced it had signed JPMorgan Chase, Daimler AG, Read more…

By Tiffany Trader

AMD Wins Another: Baidu to Deploy EPYC on Single Socket Servers

December 13, 2017

When AMD introduced its EPYC chip line in June, the company said a portion of the line was specifically designed to re-invigorate a single socket segment in wha Read more…

By John Russell

Microsoft Wants to Speed Quantum Development

December 12, 2017

Quantum computing continues to make headlines in what remains of 2017 as several tech giants jockey to establish a pole position in the race toward commercializ Read more…

By Tiffany Trader

HPC Iron, Soft, Data, People – It Takes an Ecosystem!

December 11, 2017

Cutting edge advanced computing hardware (aka big iron) does not stand by itself. These computers are the pinnacle of a myriad of technologies that must be care Read more…

By Alex R. Larzelere

IBM Begins Power9 Rollout with Backing from DOE, Google

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit a Read more…

By Tiffany Trader

Microsoft Spins Cycle Computing into Core Azure Product

December 5, 2017

Last August, cloud giant Microsoft acquired HPC cloud orchestration pioneer Cycle Computing. Since then the focus has been on integrating Cycle’s organization Read more…

By John Russell

GlobalFoundries, Ayar Labs Team Up to Commercialize Optical I/O

December 4, 2017

GlobalFoundries (GF) and Ayar Labs, a startup focused on using light, instead of electricity, to transfer data between chips, today announced they've entered in Read more…

By Tiffany Trader

HPE In-Memory Platform Comes to COSMOS

November 30, 2017

Hewlett Packard Enterprise is on a mission to accelerate space research. In August, it sent the first commercial-off-the-shelf HPC system into space for testing Read more…

By Tiffany Trader

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

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

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

AMD Showcases Growing Portfolio of EPYC and Radeon-based Systems at SC17

November 13, 2017

AMD’s charge back into HPC and the datacenter is on full display at SC17. Having launched the EPYC processor line in June along with its MI25 GPU the focus he Read more…

By John Russell

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

Japan Unveils Quantum Neural Network

November 22, 2017

The U.S. and China are leading the race toward productive quantum computing, but it's early enough that ultimate leadership is still something of an open questi Read more…

By Tiffany Trader

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

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

Leading Solution Providers

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

Perspective: What Really Happened at SC17?

November 22, 2017

SC is over. Now comes the myriad of follow-ups. Inboxes are filled with templated emails from vendors and other exhibitors hoping to win a place in the post-SC thinking of booth visitors. Attendees of tutorials, workshops and other technical sessions will be inundated with requests for feedback. Read more…

By Andrew Jones

IBM Begins Power9 Rollout with Backing from DOE, Google

December 6, 2017

After over a year of buildup, IBM is unveiling its first Power9 system based on the same architecture as the Department of Energy CORAL supercomputers, Summit a Read more…

By Tiffany Trader

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

Tensors Come of Age: Why the AI Revolution Will Help HPC

November 13, 2017

Thirty years ago, parallel computing was coming of age. A bitter battle began between stalwart vector computing supporters and advocates of various approaches to parallel computing. IBM skeptic Alan Karp, reacting to announcements of nCUBE’s 1024-microprocessor system and Thinking Machines’ 65,536-element array, made a public $100 wager that no one could get a parallel speedup of over 200 on real HPC workloads. Read more…

By John Gustafson & Lenore Mullin

Flipping the Flops and Reading the Top500 Tea Leaves

November 13, 2017

The 50th edition of the Top500 list, the biannual publication of the world’s fastest supercomputers based on public Linpack benchmarking results, was released 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

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