USRC Interns

Meet the past and present USRC interns.

Neil Agarwal

Neil AgarwalNeil Agarwal is a senior at UC Berkeley currently studying computer science. He plans on continuing on to graduate school once finished. During the summer of 2018, he researched methods to model and standardize the health of High Performance Computing (HPC) clusters and in the process, developed SaNSA, the Supercomputer and Node State Architecture, which provides a data-driven approach to resilience and fault tolerance analysis of supercomputers. His current research interests include computer security, networks, cryptography, and the Internet of Things. In his free time, he enjoys playing table tennis, wheel throwing, and watching TV.

Mentor(s): Nathan DeBardeleben

 

Paul Bryant

bryant_paul.pngPaul Bryant is currently pursuing a Masters degree in Computer Science at Kent State University, where he also obtained his bachelors. While working at the USRC he is focused on work flow deployment across HPC systems and containerization

Mentor(s): Dave Montoya

 

Colette Caskie

Colette CaskieImplementing OSPF routing protocol on an Omni-Path Architecture using IPoIB.

 

Dan Cassidy

Dan CassidyPost Bachelor USRC System Administration Work

 

Dylan Christopherson

Dylan ChristophersonDylan is a junior at the University of Wisconsin-Stout working towards his bachelor's in Computer Engineering with minors in Math and Computer Science. At the USRC he has been working on automating Open MPI runtime and scalability testing. This project includes working with both Amazon Web Services and Bitscope's Raspberry Pi cluster.

Mentor(s): Howard Pritchard. 

 

Alexandra DeLucia

Alexandra DeLuciaAlexandra DeLucia is a post-bachelor researcher at USRC/HPC-DES. She is a returning student, continuing her research on machine learning techniques to monitor high performance computers. Her current project is predicting job outcome from system logs. She graduated form Rollins College where she received a bachelor's in Computer Science and Mathematics (2018). She plans on attending graduate school next fall with a focus on high performance computing or machine learning. Alexandra enjoys hiking, long walks on the beach, and deep conversations.

 

Nicole Dobson

Nicole DobsonNicole Dobson is a post-bachelor student at LANL and is working with multiple projects revolving around workload management with Steve Senator. She attended University of Colorado Boulder earning a bachelor’s in Applied Mathematics (2018) and a minor in Computer Science (2018).   Her work includes data visualization and analytics, and research into future applications for scheduling. During this past summer she completed a group research project on the risks of a multi-cluster Slurm database when applied at scale. Nicole has been working as a post-bachelor student with LANL since June 2018.
Mentor(s): Steve Senator

 

Evan Donato

Evan DonatoNext generation software stack and configuration management.

 

Dakota Fulp

Dakota Fulp

Dakota Fulp is a post-bachelor researcher at NMC and is working on development of the DECAF-FSEFI fault injector with Nathan DeBardeleben and Terry Grové. He attended Coastal Carolina University where he obtained a bachelor's in Applied Physics (2015) and a bachelor's in Computer Science (2017). He plans on returning to graduate school for a master's degree this upcoming fall. His research interests include data analytics, software development, artificial intelligence/machine learning, ethical hacking, security, and electronic hardware projects. During this past summer, he made major improvements to the DECAF-FSEFI platform such as automated fine-grained fault injections, profiler improvements, and the inclusion of a configuration file for future features. Dakota has been working as a post-bachelor researcher with NMC since the beginning of 2018.

Mentor(s): Terry Grové, Nathan DeBardeleben

 

Vince Graziano

Vince Graziano

HPC Performance Analysis

 

Abida Haque

Inexact computing

 

Kolton Hebbring

Kolton HebbringKolton Hebbring is a post-bachelor research student with an undergraduate degree in Applied Mathematics and Computer Science from the University of Wisconsin - Stout. His work at the USRC thus far has consisted of evaluating the storage system performance impact of hardware acceleration. Kolton is also beginning to spend more time on a network monitoring and configuration automation project. Some areas of interest are network security and data storage.

Mentor(s): Dominic Manno

 

Megan Hickman

Megan Hickman

Megan Hickman is a undergraduate from Coastal Carolina University who worked on HPC system log analysis as a summer student at NMC. She is currently working on her bachelor's in Computer Science, with a minor in Mathematics. She plans on continuing on to graduate school once finished. Some of her interests include data analytics, algorithmic design, mechatronics, robotics, and computer graphics. During the summer of 2018, she researched possible techniques for determining the origin of HPC system log lines within the machine's source code.

Mentor(s): Nathan DeBardeleben

 

Vanessa Job

Vanessa Job

Machine Learning

 

Tate Kernell

Tate Kernell

Data analysis and PDEs

 

Michael Kuchnik

Michael Kuchnik

Predicting job outcomes for schedulers using machine learning and data analysis

 

Isaiah Liberda

Isaiah Liberda

Machine Room

 

Wenbin Lu

Wenbin Lu

Disease modeling

 

Srdan Milakovic

Srdan Milakovic

OpenSHMEM, Collectives Library, Graph500, and distributed phasers

 

Nathaniel Morris

Nathaniel Morris

Modeling performance of the full stack from HBAs/infiniband to the CPU/HDD.  Work detecting components operating below nominal performance (straggler analysis).

 

Spencer Ortega

Spencer Ortega

HPC Resilience

 

Doug Otstott

Doug Otstott

UNITY: A framework for unified memory and storage

 

Onkar Patil

Onkar PatilOnkar is a PhD student at North Carolina State University in the Department of Computer Science since 2016. He completed his Master's thesis program in Computer Science from the same university in 2014. After that he worked full-time for NetApp Inc. as Product Support Engineer for two years. He has also worked at Hewlett Packard Labs, Palo Alto and Oak Ridge National Laboratories, Oak RIdge as an intern. He hails from Mumbai, India. Onkar's current research field is primarily based on Compilers and Heterogeneous Memory architectures. His current work is focused on using static code analysis for automating memory placements in complex memory systems. He has previously worked with power consumption control for HPC systems, Predictable collective communication for on-chip mesh networks and Transactional HPC: a framework for stencil application in memory centric architectures.

During his time at NMC, Onkar focuses on memory allocation and placement for DRAM-HBM memory systems.

Mentor(s): Latchesar Ionkov

 

Kevin Pelzel

Kevin Pelzel

Next Generation Software Stack for HPC systems, specifically working on continuous integration

 

Stephen Penton

Stephen Penton

Stephen Penton is a post-bachelor researcher at NMC and is working on a collaboration project using LLNL's DisCVar tool and the DECAF-FSEFI platform with Nathan DeBareleben and Terry Grové. He graduated from Coastal Carolina University earning a bachelor's in Computer Science (2017) as well as Applied Mathematics (2017). His research interests include data science, machine learning, artificial intelligence, computer vision, and adaptive algorithms. In his spare time, Stephen enjoys continuing to learn about multiple computer science and math topics, reading, and playing video games.

Mentor(s): Terry Grové, Nathan DeBardeleben

 

Emily Porter

Emily Porter

HPC explainable machine learning of interpretable random forests

 

Alex Poulos

Alex Poulos

Software-defined error correcting codes

 

Zhi Qiao (George)

Zhi QiaoZhi Qiao (George) is a third year PhD student from University of North Texas and a research intern at USRC in summer 2018. His research interests include storage systems reliability and edge computing for Augmented/Mix reality. At NMC/USRC, George is working with his mentor Dr. HB Chen to enable proactive data protection in ZFS filesystem. By incorporate disk drives failure prediction with file system, HPC storage can proactively retire failing disk drives and migrate data safely before actual failure onset. Unlike post-failure data recovery which requires even weeks to complete RAID reconstruction, proactive data protection rescue and migrates data in hours.  

Mentor(s): HB Chen

 

Bryce Renck

Bryce Renck

Bios portion of the Next Generation Software Stack

 

Deborah Rezanka

Deborah RezankaOpenMPI regression testing framework and SLURM plugin development.

Mentor(s): Howard Pritchard

 

Jack Snyder

Jack Snyder

Active messages in Open SHMEM

 

Richard Snyder

Richard Snyder

High Performance Computing Configuration Management

 

Dylan Wallace

Dylan Wallace

Fast neutron detection and ECC memory project

 

Scott Walls

Scott Walls

MCNP neutron modeling

 

Sean Williams

Sean WilliamsResearch on the future of heterogeneous on-node memory

 

Randall Woodall

Randall WoodallMachine learning to aid error detection and avoidance

 

Qing Zheng

Qing ZhengDeltaFS, distributed file system and scalable data management