Summer 2017 USRC Interns

Summer 2017 is here and USRC has a great group of new and returning interns.

Qing Zheng : Graduate Student, Carnegie Mellon University

Qing Zheng

Graduate Student, Carnegie Mellon University

Qing is a 4th-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.
zhengq@cs.cmu.edu
Kai Wu : PhD Student, University of California, Merced

Kai Wu

PhD Student, University of California, Merced

Kai currently a Computer Science PhD student in EECS at University of California, Merced. Before coming to UC Merced, he got his Masters degree in Computer Science and Engineering from Michigan State University in 2016. His research broadly falls into general areas of High Performance Computing (Large-Scale Parallel Systems). Specifically, he focuses on the following areas:(i) Parallel programming models and runtime; (ii) Performance optimization and modeling; (iii) Resilience and Consistency; (iv)Non-volatile memory; (v) Fault Tolerance in Extreme-Scale Parallel Systems. At USRC, Kai is working on building faults model on serial codes and predicting the faults on parallel codes.

kwu42@ucmerced.edu
Olena Tkachenko : Post Bachelor, Los Alamos National Laboratory

Olena Tkachenko

Post Bachelor, Los Alamos National Laboratory

Olena graduated with a B.S. in Computer Science from FIU's School of Computing and Information Sciences in Miami. At FIU she did research at the VISA lab as a URA working on masquerading network traffic for Mission Critical Cloud Computing, and isolation benchmarking of containers. While working at LANL as a PostBac she designed an application model (IMCSim) of the implicit Monte Carlo particle code IMC using the Performance Prediction Toolkit (PPT), a discrete-event simulation-based modeling framework for predicting code performance on a large range of parallel platforms. At USRC she is currently working on predicting DRAM fault locations in HPC systems using structured learning and various ML techniques. Her research interests include HPC, ML, and fault prediction/mitigation.
otkac001@fiu.edu
Michael Sevilla : PhD Student, University of California, Santa Cruz

Michael Sevilla

PhD Student, University of California, Santa Cruz

Michael evaluates and designs distributed file system metadata management systems. His publications prototype ideas on CephFS, the file system that uses the Ceph distributed object store. His lab also has a special interest in storage system programmability and reproducibility in systems research. At USRC, Michael is working with Brad Settlemyer on load balancing policies for HXHIM, an HPC key-value store.
msevilla@ucsc.edu
Jian Peng : PhD Student, Computer Science, Illinois Institute of Technology

Jian Peng

PhD Student, Computer Science, Illinois Institute of Technology

I'm a second-year Phd student majoring in Computer Science at Illinois Institute of Technology(IIT), advised by Dr. Ioan Raicu. My research interest is HPC.Currently at USRC I'm working on Burst Buffer simulation in Dragonfly network. The goal is to develop a simulator which models supercomputers with dragonfly network and burst buffer storage architecture. With such a simulator, we will be able to carry out more research on problems such as system bottleneck and burst buffer related scheduling.

jpeng10@hawk.iit.edu
Scott Lavigne : Graduate Student, Ohio State University

Scott Lavigne

Graduate Student, Ohio State University

Scott is a graduate student studying network errors on LANL's Trinity supercomputer. While obtaining his BS in Computer Science with a minor in Applied Mathematics from Coastal Carolina University, Scott worked on various projects for the USRC, ranging from fault injection studies with F-SEFI to analyzing ECC of interest to the team. In the fall, Scott will begin the direct PhD track at The Ohio State University.
lavigne@lanl.gov
Michael Lane : Post Bachelor, Los Alamos National Laboratory

Michael Lane

Post Bachelor, Los Alamos National Laboratory

Michael Lane is researching techniques to make exact computations on fault-prone hardware.
mlane@lanl.gov
Abida Haque : PhD Student, Computer Science, North Carolina State University

Abida Haque

PhD Student, Computer Science, North Carolina State University

Abida will be a PhD student at North Carolina State University in computer science. She has a bachelor's degree in mathematics from Carnegie Mellon University and a master's degree in computer science from Georgia Tech.During her time at USRC, Abida will help with the project Latent Anomaly Detection for Supercomputing System Performance.

haqueabida@gmail.com
Alexandra DeLucia : Undergraduate Student, Rollins College

Alexandra DeLucia

Undergraduate Student, Rollins College

Alexandra is working on a bachelors degree in Computer Science and Mathematics at Rollins College. At the USRC she is working on creating a model of system logs from high performance computers. The model will later be used in anomaly detection.
aadelucia@gmail.com
Rusty H Davis : Graduate Student, Clemson University

Rusty H Davis

Graduate Student, Clemson University

Rusty graduated with his B.S. in computer science​ from the School of Computing at Clemson University in May 2016. He will begin pursuing his masters of Computer Science at Clemson University in Fall 2016. Rusty has been working with the USRC since the summer of 2014. His initial work was with Dr. Nathan DeBardeleben and Dr. William Jones concerning Algorithmic-Based Fault Tolerant Matrix Multiplication. His current work is focused on ​quantifying the resiliency of​ Algorithmic-Based Fault Tolerant Fast Fourier Transforms and creating an interface for the F-SEFI fault injector. His research interests include High Performance Computing, Operating Systems, and Resilience/Fault tolerance.
zopppo@gmail.com
Ashley Michalenko : PhD Student, New Mexico State University

Ashley Michalenko

PhD Student, New Mexico State University

Ashley is currently a PhD student studying Computer Science at New Mexico State University. She has a BS and MS in Electrical Engineering also from NMSU. Her research is on multivariate time series prediction and segmentation. At USRC she is working on on an anomaly detection project focused on detecting anomalies in energy data.

ash.michalenko@gmail.com
Michael Duckett : Graduate Student, Florida State University

Michael Duckett

Graduate Student, Florida State University

Michael is currently working on his Master's in Computer Science at Florida State University. His project at USRC entails implementing OpenFlow style software defined networking for Infiniband/OpenSM.
Heather Huynh : Post Bachelor, Los Alamos National Laboratory

Heather Huynh

Post Bachelor, Los Alamos National Laboratory

Heather graduated from the University of Georgia with a B.S. in Computer Science. At USRC, she will be working on looking at faults that occur in computer memory.