USRC Students and Postdocs

This page lists all current and past students who have worked at the USRC.

Dan Cassidy,

Post Bachelor, Los Alamos National Laboratory

Post Bachelor USRC System Administration Work.

Nicole Dobson,

LANL Student, Los Alamos National Laboratory

Data Analysis in Workflow Management.

Alexandra DeLucia,

Post Bachelor, Rollins College
Alexandra 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). Alexandra plans on attending graduate school next fall with a focus on high performance computing or machine learning. Mentor: Elisabeth (Lissa) Baseman

Brian Atkinson,

Post Masters Visiting Scientist Researcher,
Brian is a post masters visiting research scientist working with the USRC storage design team at LANL. Brian received his masters in computer engineering from Clemson University in May 2018 and has a B.S. in computer science, with a minor in applied mathematics, from Coastal Carolina University. As both an undergraduate and graduate student, Brian's research and work involved working on the parallel file system OrangeFS, which was originally developed and is currently maintained at Clemson University. Brian current work, under the mentorship of Brad Settlemyer and Wendy Poole, is focused on fast storage end points.

Brian previously worked at the NMC as a post-bachelor student in the summer of 2014. He worked with his mentor Nathan DeBardeleben and Qiang Guan to characterize soft error faults effects on scientific applications. By injecting soft error faults using F-SEFI, a fine grained soft error fault injector designed and maintained at LANL, into the hydrodynamic mini-app CLAMR, faults were visualized, categorized, and captured during program execution. Working with Bob Robey, the code for CLAMR was modified to detect soft errors based on conservation laws of state variables, and to recover from the soft errors, when detected, using memory and/or disks checkpoints.

Bryce Renck,

Undergraduate Student, New Mexico State University
Bryce Renck is an electrical engineering student at New Mexico State University. I am currently an undergrad and will be graduating in December. Renck works as a peer mentor in electrical engineering where he helps underclassmen with the EE courses that he has already completed, specifically the electronics class in which he holds a weekly supplemental Lecture for. This summer Renck is working with Sean Blanchard on the next generation software stack with a focus on how to incorporate U-Root and U-Boot into the UEFI BIOS of computer clusters.

Colette Caskie,

Postbach Student, New Mexico State University
Colette Caskie recently completed her bachelors degree in Information Engineering Technology at New Mexico State University. She currently works for the USRC on researching OSPF routing protocol for high performance computing.

Dakota Fulp,

Post Bachelor, Coastal Carolina University
Dakota Fulp is working on using DECAF-FSEFI to run experiments to make it more automated so other researchers can run experiments with ease. Fulp is also working on analyzing the log events of HPC to gather important metrics in real time to compare with industry given statistics.

Doug Otstott,

PhD Student, School of Computing & Information Sciences, Florida International University

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Doug is a PhD student from Florida International University's School of Computing and Information Sciences in Miami.  It was here that he began his graduate studies after graduating in the Summer of 2011 and receiving the CS program's award for Outstanding Graduate.

While in Miami, Doug works at lab for Virtualized Infrastructure, Software and Applications at FIU doing research on caching for large scale systems and scheduling optimizations for SSDs.

During his time at USRC, Doug will be working to extend a preexisting project "Transparently Consistent Asynchronous Shared Memory" by exploring applications in check pointing and in-situ data analysis.

Dylan Christopherson,

Undergraduate Student, University of Wisconsin - Stout
Dylan Christopherson is an undergraduate student working on a bachelors degree in Computer Engineering at the University of Wisconsin - Stout. He works at the USRC on OpenMPI using Raspberry Pis and the applications of AWS.

Dylan Wallace,

Undergraduate Student, Coastal Carolina University
Dylan is a computer science undergraduate at Coastal Carolina University. At the USRC, he is working on a research paper about ECC memory, more specifically he is helping to analyze how successful it is at correcting data errors. He will also be studying the effect of neutrons on computer systems in the fast neutron detection project.

Evan Donato,

Undergraduate Student, University of Massachusetts Boston
Evan is a rising senior studying for a BS in Computer Science at the University of Massachusetts, Boston. He is interested in High Performance Computing and Parallel Computing. For the past two years, Evan has been captain of a Student Cluster Competition team which competed at SC17, SC18, and ISC17, and will be competing this Fall at SC18. At the USRC he is working with Paul Peltz and Lowell Wofford on configuration management strategies for the Next Generation Software Stack.

Hector Cabada,

Post Bachelor, University of New Mexico
Hector recently recieved his bachelors degree in computer science from the University of New Mexico (UNM). He will be starting his Ph.D. in computer science at UNM this fall. At the USRC, Hector will be parallelizing and optimizing kinetic models for high performance computing.

Isaiah Liberda,

Student, USRC
Isaiah Liberda is a high school student who works in the USRC machine room and completes much needed tasks such as organizing and labeling cords, and running fibers to different machines.

Jack Snyder,

PhD Student, Duke University
Jack Snyder recently graduated from Rhodes College with a BS in Computer Science and Mathematics. In the Fall, he will be starting my PhD. at Duke University in Computer Science. At USRC, Jack is working on an Active Message layer for openSHMEM and raising Active Messages from the transport layer to the protocol layer of Unified Communication X.

Kevin Pelzel,

Post Bachelor, University of Wisconsin - Stout
Kevin is a post bachelor intern. He graduated from University of Wisconsin-Stout in May with a degree in computer engineering. At the USRC he is working on NGSS (next generation software stack) for HPC systems, specifically working on the continuous integration aspect of it.

Kolton Hebbring,

Post Bachelor, University of Wisconsin - Stout
Kolton Hebbring graduated from UW-Stout in May of 2018 with an undergraduate degree in Applied Math and Computer Science. At the USRC, Kolton will be evaluating storage system performance impact of hardware acceleration as well as network monitoring and configuration automation.

Kristina Frye,

PhD Student, Portland State University
Kristina Frye has a BA in Mathematics from Reed College and currently is a PhD student at Portland State University.

Fry's research is in the area of interference and performance variability on HPC systems. At the USRC, Frye works on Application performance characterization through application monitoring.

Megan Hickman,

Undergraduate Student, Coastal Carolina University
Megan Hickman is an undergraduate student majoring in Computer Science with a minor in Mathematics at Coastal Carolina University in Conway, South Carolina. This summer, Hickman is analyzing HPC system logs and kernel code to build a tool that will help translate the log data.

Onkar Patil,

PhD Student, North Carolina State University
Onkar 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 will focus on memory allocation and placement for DRAM-HBM memory systems.

Paul Bryant,

Masters Student, Kent State University
Paul 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

Qing Zheng,

PhD Student, Carnegie Mellon University
Qing is a 5th-year Ph.D. student at Carnegie Mellon University Computer Science Department. At Carnegie Mellon, Qing works with Professor Garth Gibson, researchers at the Carnegie Mellon Parallel Data Lab, and scientists at Los Alamos National Lab (LANL), on file system metadata designs (IndexFS and DeltaFS) for massive-scale science applications. Their IndexFS paper has won Best Paper Award at the Supercomputing Conference (SC) 2014.

At NMC Ultra System Research Center (USRC), Qing works with Brad Settlemyer and other USRC and LANL scientists on VPIC and DeltaFS integration, and high-performance metadata implementation and demonstration.

Randall Woodall,

Undergraduate Student, New Mexico State University
Randall Woodall is an undergraduate student working towards a BS in Electrical Engineering at New Mexico State University. This summer he is working on machine learning for system log analysis utilizing LogAn in Spark on Hadoop.

Richard Snyder,

Post Bachelor, Missouri University of Science and Technology
Richard Snyder is a post bachelor intern. He graduated from Missouri University of Science and Technology in May 2018 with a bachelor's degree in Computer Engineering. He is helping with the development of Kraken, a tool to generate system configuration given input parameters. In addition, he is also involved in testing Ansible, a modern configuration management tool.

Scott Walls,

Undergraduate Student, New Mexico State University
Scott is entering his senior year at NMSU studying Engineering Physics with a concentration in Mechanical Engineering. He is also minoring in Nuclear Chemical Engineering and Government. He is currently considering attending graduate school for a Master's in Nuclear Engineering. Here at the USRC/NMC Scott is working with Sean Blanchard on MCNP modeling of damage to HPC hardware from neutron scattering.

Senbei Du,

PhD Student, University of Alabama
Senbei Du is a PhD student at the University of Alabama in Huntsville (UAH), Department of Space Science. He obtained a BS degree in geophysics from the University of Science and Technology of China (USTC) in 2015. Senbei is working on particle acceleration via magnetic reconnection, an important process that efficiently dissipates magnetic free energy, in solar and heliospheric plasmas. He is currently using the LANL particle-in-cell simulation code VPIC while developing a particle transport theory that applies to the highly energetic particles in our solar system.

Srdan Milakovic,

PhD Student, Rice University
Srdan Milakovic is a second-year computer science Ph.D. student at Rice University. Before joining Rice, he got his bachelor's degree in computer science from University of Novi Sad, Serbia.

At the USRC he will be working on OpenSHMEM collectives library, Graph 500 benchmark and distributed phasors for one-sided communication models.

Tate Kernell,

PhD Student, Baylor University
Tate is a Ph.D. Candidate at Baylor University studying Riesz Preconditioners for the Rotating Shallow Water Equations on Finite Element Spaces. He received his B.S. Applied and Computational Mathematics and Statistics from the University of Notre Dame.

The objective of his project at the USRC is to gather/analyze a variety of data sets, which will be used in ensuring area specific information. The data collected will range from environmental sensors, network sensors, machine sensors, biomedical databases from the Internet, geo-spatial data sets, error datasets, resiliency data sets, HW component data sets, etc. Then once these are collected, the goal is to build various benchmarks and machine learning algorithms which will allow predictive analysis to assist in making informed choices on topics of interest.

Vanessa Job,

PhD Student, University of New Mexico
Vanessa Job is a second year Ph.D. student in computer science at the University of New Mexico. She is doing a second Ph.D. after having a long career as a professor of applied discrete mathematics. Her prior research was in combinatorial aspects of error-correcting codes. She is currently interested in applications of machine learning to high performance computing. At the USRC, she is working with Laura Monroe on probabilistic computing.

George Qiao,

PhD Student, University of North Texas
George (Zhi) Qiao is a third year PhD student in computer science. His research interests include storage systems reliability and edge computing for Augmented/Mix reality. He previously worked on GPU MapReduce that accelerates machine learning algorithms such as K-means. The proposed concept that overlaps computation and communication workload using dual RDMA engine in Nvidia Fermi series GPU was later adopted since CUDA 6.5 release.

While at the NMC/USRC, George worked with his mentor Dr. HB Chen to enable proactive data protection in ZFS filesystem. By incorporating disk drives failure prediction with file systems, 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 rescues and migrates data in hours.

Wenbin Lu,

PhD Student, Stony Brook University
Wenbin Lu is a PhD student from the applied math and statistics department of the Stony Brook University. He received his undergraduate degrees in mathematics and computer science from the University of Iowa. While at the USRC, Wenbin worked on the modeling and simulation of mosquito-borne diseases like the dengue fever and the Zika. The software was based on Hoover, which utilizes the PGAS programming model OpenSHMEM to reduce inter-node synchronization and improve scalability.

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