Cornell Students Immersed in Latest Cloud Technologies Thanks to NSF Research Experiences for Undergraduates Program

September 9, 2020

Sept. 9, 2020 — This summer four Cornell University students learned about the latest cloud computing technologies and made valuable contributions to the Aristotle Cloud Federation and the computational tools researchers use to make scientific breakthroughs. Their work and learning experiences were made possible by funding from the National Science Foundation Research Experiences for Undergraduates (REU) program.

Image courtesy of Cornell University Center for Advanced Computing

REU student Matthew Farnese improved the pipeline used to identify Fast Radio Bursts (FRB) by testing the functionality of the Friends-of-Friends algorithm, extending the existing pipeline methods for use with multiple data formats, creating new plotting methods, and adding features to make the pipeline more user-friendly. He also made progress towards a second FRB detection with the Friends-of-Friends algorithm in the Breakthrough Listen dataset that scientists use to search for evidence of intelligent life beyond earth. Five Cornellians worked with him on the project: Astronomy Professor Jim Cordes, Shami Chatterjee, Akshay Suresh, Peter Vaillancourt, and former Aristotle REU student Plato Deliyannis.

“Now that I have an idea of what computational astronomy/physics is like, I am even more interested in it, and I am considering getting my PhD in computational physics,” says Farnese. “In 10 years, I hope to be working at a university, whether it be as a lecturer, post-doc, or professor.”

The initial goal of Cornell REU student Priyanka Dilip’s research was to provide a GPU computing environment that scientists could use to install and test their applications. Over the course of the summer, multiple research groups from within the Aristotle Cloud Federation, as well as Cornell researchers, reached out to her to request specific cloud computing images and Virtual Machine instances,  thus her research question  became “How can Machine Learning frameworks and/or computational fluid dynamics (CFD) solvers be provisioned reliably as a GPU-accelerated resource?”

In response, Dilip created Cornell Red Cloud images containing TensorFlow, MATLAB, PyTorch, and Jupyter which were developed in an Anaconda environment and Dockerized for Forest Large Eddy Simulations and cryo-electron microscopy. She also containerized an OpenFOAM CFD solution, developed Dockerfile and images for RapidCFD, created GitHub test applications for Tensorflow+Keras and PyTorch, and wrote documentation to help others create server images and use GPUs more effectively.

“I definitely accomplished more than I expected,” says Dilip, “and virtual conferencing with Aristotle cloud systems engineer Bennett Wineholt every other day helped me make more efficient progress and clear doubts rapidly.” Dilip’s documentation will be published on the Cornell Center for Advanced Computing Wiki for Aristotle and Red Cloud users and the research community. After her REU experience, Dilip was pleased to learn she was selected by NVIDIA’s Deep Learning Institute to attend their “Deep Learning and GPU Programming Workshop.”

 Cornell REU student Jeffrey Lantz demos how to run the HPL benchmark on the multi-VM, MPI-capable Terraform/Kubernetes Cluster deployment he built this summer in a project for the Aristotle Cloud Federation. Image courtesy of Cornell University Center for Advanced Computing

Cornell undergraduate student Jeffrey Lantz wrote a guide on how to get started with Kubernetes, updated a Terraform-Ansible tool, and created a Terraform-Kubernetes tool. He then used High Performance LINPACK benchmarks to compare the cost and efficiency of the two tools. Lantz concluded that the Terraform-Kubernetes tool is faster to deploy and less costly to deploy as a cloud computing cluster. “An easy-to-use Terraform-Kubernetes tool that is MPI capable is something new,” he notes. “It can be used in nearly any field of study and gives scientists access to large compute resources at a relatively low cost.”

“I think having regular one-on-one meetings and group meetings, an interesting project, and a strategy of announcing what I planned on working on at the beginning of each day all helped my productivity,” Lantz says. He also suggests that the REU program could be improved by providing students early on with “research tips” such as “research rarely works on the first try” and “don’t be discouraged if you’re having trouble with something or if it takes longer than you expect.”

Sherri Tan worked primarily under Professor Sara C. Pryor, a Cornell professor in Earth and Atmospheric Sciences and Aristotle use case scientist. The goal of her project was to predict the occurrence and magnitude of wind gusts surrounding three major airports: Newark, Boston, and Chicago. She proceeded to download datasets of predictors such as upper air variables using Python scripts, and then aligned those with datasets for the observed occurrence and magnitude of wind gusts at the airports using MATLAB. Tan then used MATLAB’s functions and toolboxes for generalized linear regression, stepwise regression, and deep learning to build predictive models and calculate descriptive statistics. She observed that Aristotle cloud resources enabled the download and efficient processing of large amounts of data.

“The REU experience gave me the opportunity to learn how to write scientific reports in order to document work and make research reproducible,” Tans says. “It also helped me build on my MATLAB programming and data science skills.”

“I’m grateful that my summer REU experience has provided me with greater insight and clarity on which direction I would like to pursue in the future and want to thank my mentor Professor Pryor as well as the Center for Advanced Computing’s REU lead Adam Brazier,” she says.

About the Aristotle Cloud Federation 

The Aristotle Cloud Federation project is supported by National Science Foundation grant number OAC-1541215 and the Cornell University Center for Advanced Computing (CAC) in partnership with the University at Buffalo Center for Computational Research (CCR) and the University of California, Santa Barbara Department of Computer Science. UCSB undergraduate Kerem Celik also participated in this summer’s REU developing a telemetry data visualizer for the Citrus Under Protective Screening project and the Edible Campus farm.

About the Research Experiences for Undergraduates (REU) 

The Research Experiences for Undergraduates (REU) program supports active research participation by undergraduate students in any of the areas of research funded by the National Science Foundation.


Source: Cornell University Center for Advanced Computing 

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!

Red Hat’s Disruption of CentOS Unleashes Storm of Dissent

January 22, 2021

Five weeks after angering much of the CentOS Linux developer community by unveiling controversial changes to the no-cost CentOS operating system, Red Hat has unveiled alternatives for affected users that give them severa Read more…

By Todd R. Weiss

China Unveils First 7nm Chip: Big Island

January 22, 2021

Shanghai Tianshu Zhaoxin Semiconductor Co. is claiming China’s first 7-nanometer chip, described as a leading-edge, general-purpose cloud computing chip based on a proprietary GPU architecture. Dubbed “Big Island Read more…

By George Leopold

HiPEAC Keynote: In-Memory Computing Steps Closer to Practical Reality

January 21, 2021

Pursuit of in-memory computing has long been an active area with recent progress showing promise. Just how in-memory computing works, how close it is to practical application, and what are some of the key opportunities a Read more…

By John Russell

HiPEAC’s Vision for a New Cyber Era, a ‘Continuum of Computing’

January 21, 2021

Earlier this week (Jan. 19), HiPEAC — the European Network on High Performance and Embedded Architecture and Compilation — published the 8th edition of the HiPEAC Vision, detailing an increasingly interconnected computing landscape where complex tasks are carried out across multiple... Read more…

By Tiffany Trader

Supercomputers Assist Hunt for Mysterious Axion Particle

January 21, 2021

In the 1970s, scientists theorized the existence of axions: particles born in the hearts of stars that, when exposed to a magnetic field, become light particles, and which may even comprise dark matter. To date, however, Read more…

By Oliver Peckham

AWS Solution Channel

Fire Dynamics Simulation CFD workflow on AWS

Modeling fires is key for many industries, from the design of new buildings, defining evacuation procedures for trains, planes and ships, and even the spread of wildfires. Read more…

Intel® HPC + AI Pavilion

Intel Keynote Address

Intel is the foundation of HPC – from the workstation to the cloud to the backbone of the Top500. At SC20, Intel’s Trish Damkroger, VP and GM of high performance computing, addresses the audience to show how Intel and its partners are building the future of HPC today, through hardware and software technologies that accelerate the broad deployment of advanced HPC systems. Read more…

Researchers Train Fluid Dynamics Neural Networks on Supercomputers

January 21, 2021

Fluid dynamics simulations are critical for applications ranging from wind turbine design to aircraft optimization. Running these simulations through direct numerical simulations, however, is computationally costly. Many Read more…

By Oliver Peckham

Red Hat’s Disruption of CentOS Unleashes Storm of Dissent

January 22, 2021

Five weeks after angering much of the CentOS Linux developer community by unveiling controversial changes to the no-cost CentOS operating system, Red Hat has un Read more…

By Todd R. Weiss

HiPEAC Keynote: In-Memory Computing Steps Closer to Practical Reality

January 21, 2021

Pursuit of in-memory computing has long been an active area with recent progress showing promise. Just how in-memory computing works, how close it is to practic Read more…

By John Russell

HiPEAC’s Vision for a New Cyber Era, a ‘Continuum of Computing’

January 21, 2021

Earlier this week (Jan. 19), HiPEAC — the European Network on High Performance and Embedded Architecture and Compilation — published the 8th edition of the HiPEAC Vision, detailing an increasingly interconnected computing landscape where complex tasks are carried out across multiple... Read more…

By Tiffany Trader

Saudi Aramco Unveils Dammam 7, Its New Top Ten Supercomputer

January 21, 2021

By revenue, oil and gas giant Saudi Aramco is one of the largest companies in the world, and it has historically employed commensurate amounts of supercomputing Read more…

By Oliver Peckham

President-elect Biden Taps Eric Lander and Deep Team on Science Policy

January 19, 2021

Last Friday U.S. President-elect Joe Biden named The Broad Institute founding director and president Eric Lander as his science advisor and as director of the Office of Science and Technology Policy. Lander, 63, is a mathematician by training and distinguished life sciences... Read more…

By John Russell

Pat Gelsinger Returns to Intel as CEO

January 14, 2021

The Intel board of directors has appointed a new CEO. Intel alum Pat Gelsinger is leaving his post as CEO of VMware to rejoin the company that he parted ways with 11 years ago. Gelsinger will succeed Bob Swan, who will remain CEO until Feb. 15. Gelsinger previously spent 30 years... Read more…

By Tiffany Trader

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

By John Russell

Intel ‘Ice Lake’ Server Chips in Production, Set for Volume Ramp This Quarter

January 12, 2021

Intel Corp. used this week’s virtual CES 2021 event to reassert its dominance of the datacenter with the formal roll out of its next-generation server chip, the 10nm Xeon Scalable processor that targets AI and HPC workloads. The third-generation “Ice Lake” family... Read more…

By George Leopold

Esperanto Unveils ML Chip with Nearly 1,100 RISC-V Cores

December 8, 2020

At the RISC-V Summit today, Art Swift, CEO of Esperanto Technologies, announced a new, RISC-V based chip aimed at machine learning and containing nearly 1,100 low-power cores based on the open-source RISC-V architecture. Esperanto Technologies, headquartered in... Read more…

By Oliver Peckham

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

By John Russell

Azure Scaled to Record 86,400 Cores for Molecular Dynamics

November 20, 2020

A new record for HPC scaling on the public cloud has been achieved on Microsoft Azure. Led by Dr. Jer-Ming Chia, the cloud provider partnered with the Beckman I Read more…

By Oliver Peckham

NICS Unleashes ‘Kraken’ Supercomputer

April 4, 2008

A Cray XT4 supercomputer, dubbed Kraken, is scheduled to come online in mid-summer at the National Institute for Computational Sciences (NICS). The soon-to-be petascale system, and the resulting NICS organization, are the result of an NSF Track II award of $65 million to the University of Tennessee and its partners to provide next-generation supercomputing for the nation's science community. Read more…

Is the Nvidia A100 GPU Performance Worth a Hardware Upgrade?

October 16, 2020

Over the last decade, accelerators have seen an increasing rate of adoption in high-performance computing (HPC) platforms, and in the June 2020 Top500 list, eig Read more…

By Hartwig Anzt, Ahmad Abdelfattah and Jack Dongarra

Aurora’s Troubles Move Frontier into Pole Exascale Position

October 1, 2020

Intel’s 7nm node delay has raised questions about the status of the Aurora supercomputer that was scheduled to be stood up at Argonne National Laboratory next year. Aurora was in the running to be the United States’ first exascale supercomputer although it was on a contemporaneous timeline with... Read more…

By Tiffany Trader

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

By Doug Black

Programming the Soon-to-Be World’s Fastest Supercomputer, Frontier

January 5, 2021

What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an elite international team in just that task. Chandrasekaran, assistant professor of computer and information sciences, recently was named... Read more…

By Tracey Bryant

Leading Solution Providers

Contributors

Top500: Fugaku Keeps Crown, Nvidia’s Selene Climbs to #5

November 16, 2020

With the publication of the 56th Top500 list today from SC20's virtual proceedings, Japan's Fugaku supercomputer – now fully deployed – notches another win, Read more…

By Tiffany Trader

Texas A&M Announces Flagship ‘Grace’ Supercomputer

November 9, 2020

Texas A&M University has announced its next flagship system: Grace. The new supercomputer, named for legendary programming pioneer Grace Hopper, is replacing the Ada system (itself named for mathematician Ada Lovelace) as the primary workhorse for Texas A&M’s High Performance Research Computing (HPRC). Read more…

By Oliver Peckham

At Oak Ridge, ‘End of Life’ Sometimes Isn’t

October 31, 2020

Sometimes, the old dog actually does go live on a farm. HPC systems are often cursed with short lifespans, as they are continually supplanted by the latest and Read more…

By Oliver Peckham

Gordon Bell Special Prize Goes to Massive SARS-CoV-2 Simulations

November 19, 2020

2020 has proven a harrowing year – but it has produced remarkable heroes. To that end, this year, the Association for Computing Machinery (ACM) introduced the Read more…

By Oliver Peckham

Nvidia and EuroHPC Team for Four Supercomputers, Including Massive ‘Leonardo’ System

October 15, 2020

The EuroHPC Joint Undertaking (JU) serves as Europe’s concerted supercomputing play, currently comprising 32 member states and billions of euros in funding. I Read more…

By Oliver Peckham

Intel Xe-HP GPU Deployed for Aurora Exascale Development

November 17, 2020

At SC20, Intel announced that it is making its Xe-HP high performance discrete GPUs available to early access developers. Notably, the new chips have been deplo Read more…

By Tiffany Trader

Nvidia-Arm Deal a Boon for RISC-V?

October 26, 2020

The $40 billion blockbuster acquisition deal that will bring chipmaker Arm into the Nvidia corporate family could provide a boost for the competing RISC-V architecture. As regulators in the U.S., China and the European Union begin scrutinizing the impact of the blockbuster deal on semiconductor industry competition and innovation, the deal has at the very least... Read more…

By George Leopold

HPE, AMD and EuroHPC Partner for Pre-Exascale LUMI Supercomputer

October 21, 2020

Not even a week after Nvidia announced that it would be providing hardware for the first four of the eight planned EuroHPC systems, HPE and AMD are announcing a Read more…

By Oliver Peckham

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