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!

San Diego Supercomputer Center Opens ‘Expanse’ to Industry Users

April 15, 2021

When San Diego Supercomputer Center (SDSC) at the University of California San Diego was getting ready to deploy its flagship Expanse supercomputer for the large research community it supports, it also sought to optimize Read more…

GTC21: Dell Building Cloud Native Supercomputers at U Cambridge and Durham

April 14, 2021

In conjunction with GTC21, Dell Technologies today announced new supercomputers at universities across DiRAC (Distributed Research utilizing Advanced Computing) in the UK with plans to explore use of Nvidia BlueField DPU technology. The University of Cambridge will expand... Read more…

The Role and Potential of CPUs in Deep Learning

April 14, 2021

Deep learning (DL) applications have unique architectural characteristics and efficiency requirements. Hence, the choice of computing system has a profound impact on how large a piece of the DL pie a user can finally enj Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

Nvidia Aims Clara Healthcare at Drug Discovery, Imaging via DGX

April 12, 2021

Nvidia Corp. continues to expand its Clara healthcare platform with the addition of computational drug discovery and medical imaging tools based on its DGX A100 platform, related InfiniBand networking and its AGX developer kit. The Clara partnerships announced during... Read more…

AWS Solution Channel

Research computing with RONIN on AWS

To allow more visibility into and management of Amazon Web Services (AWS) resources and expenses and minimize the cloud skills training required to operate these resources, AWS Partner RONIN created the RONIN research computing platform. Read more…

Nvidia Serves Up Its First Arm Datacenter CPU ‘Grace’ During Kitchen Keynote

April 12, 2021

Today at Nvidia’s annual spring GPU Technology Conference (GTC), held virtually once more due to the pandemic, the company unveiled its first ever Arm-based CPU, called Grace in honor of the famous American programmer Grace Hopper. The announcement of the new... Read more…

San Diego Supercomputer Center Opens ‘Expanse’ to Industry Users

April 15, 2021

When San Diego Supercomputer Center (SDSC) at the University of California San Diego was getting ready to deploy its flagship Expanse supercomputer for the larg Read more…

GTC21: Dell Building Cloud Native Supercomputers at U Cambridge and Durham

April 14, 2021

In conjunction with GTC21, Dell Technologies today announced new supercomputers at universities across DiRAC (Distributed Research utilizing Advanced Computing) in the UK with plans to explore use of Nvidia BlueField DPU technology. The University of Cambridge will expand... Read more…

The Role and Potential of CPUs in Deep Learning

April 14, 2021

Deep learning (DL) applications have unique architectural characteristics and efficiency requirements. Hence, the choice of computing system has a profound impa Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

Nvidia Aims Clara Healthcare at Drug Discovery, Imaging via DGX

April 12, 2021

Nvidia Corp. continues to expand its Clara healthcare platform with the addition of computational drug discovery and medical imaging tools based on its DGX A100 platform, related InfiniBand networking and its AGX developer kit. The Clara partnerships announced during... Read more…

Nvidia Serves Up Its First Arm Datacenter CPU ‘Grace’ During Kitchen Keynote

April 12, 2021

Today at Nvidia’s annual spring GPU Technology Conference (GTC), held virtually once more due to the pandemic, the company unveiled its first ever Arm-based CPU, called Grace in honor of the famous American programmer Grace Hopper. The announcement of the new... Read more…

Nvidia Debuts BlueField-3 – Its Next DPU with Big Plans for an Expanded Role

April 12, 2021

Nvidia today announced its next generation data processing unit (DPU) – BlueField-3 – adding more substance to its evolving concept of the DPU as a full-fledged partner to CPUs and GPUs in delivering advanced computing. Nvidia is pitching the DPU as an active engine... Read more…

Nvidia’s Newly DPU-Enabled SuperPod Is a Multi-Tenant, Cloud-Native Supercomputer

April 12, 2021

At GTC 2021, Nvidia has announced an upgraded iteration of its DGX SuperPods, calling the new offering “the first cloud-native, multi-tenant supercomputer.” Read more…

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…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

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…

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

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…

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…

Quantum Computer Start-up IonQ Plans IPO via SPAC

March 8, 2021

IonQ, a Maryland-based quantum computing start-up working with ion trap technology, plans to go public via a Special Purpose Acquisition Company (SPAC) merger a Read more…

Leading Solution Providers

Contributors

Can Deep Learning Replace Numerical Weather Prediction?

March 3, 2021

Numerical weather prediction (NWP) is a mainstay of supercomputing. Some of the first applications of the first supercomputers dealt with climate modeling, and Read more…

Livermore’s El Capitan Supercomputer to Debut HPE ‘Rabbit’ Near Node Local Storage

February 18, 2021

A near node local storage innovation called Rabbit factored heavily into Lawrence Livermore National Laboratory’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan. Details of this new storage technology were revealed... Read more…

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…

African Supercomputing Center Inaugurates ‘Toubkal,’ Most Powerful Supercomputer on the Continent

February 25, 2021

Historically, Africa hasn’t exactly been synonymous with supercomputing. There are only a handful of supercomputers on the continent, with few ranking on the Read more…

The History of Supercomputing vs. COVID-19

March 9, 2021

The COVID-19 pandemic poses a greater challenge to the high-performance computing community than any before. HPCwire's coverage of the supercomputing response t Read more…

AMD Launches Epyc ‘Milan’ with 19 SKUs for HPC, Enterprise and Hyperscale

March 15, 2021

At a virtual launch event held today (Monday), AMD revealed its third-generation Epyc “Milan” CPU lineup: a set of 19 SKUs -- including the flagship 64-core, 280-watt 7763 part --  aimed at HPC, enterprise and cloud workloads. Notably, the third-gen Epyc Milan chips achieve 19 percent... Read more…

HPE Names Justin Hotard New HPC Chief as Pete Ungaro Departs

March 2, 2021

HPE CEO Antonio Neri announced today (March 2, 2021) the appointment of Justin Hotard as general manager of HPC, mission critical solutions and labs, effective Read more…

Microsoft, HPE Bringing AI, Edge, Cloud to Earth Orbit in Preparation for Mars Missions

February 12, 2021

The International Space Station will soon get a delivery of powerful AI, edge and cloud computing tools from HPE and Microsoft Azure to expand technology experi Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire