USRC Students and Postdocs

Ziming Zhang,

PhD Student, Computer Science & Engineering, University of N Texas

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Ziming Zhang is a former USRC student. At the USRC, Zhang worked on power-aware task scheduling and placement techniques in HPC system.

Philip Soltero,

Graduate Computer Science Dept, University of New Mexico
Philip is a former USRC student who is an ex-game developer turned computer science student. At the USRC. 
Philip worked on fault tolerant, scalable system services for ultra-scale computing.


Kshitij Mehta,

PhD Student Computer Science, University of Houston

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Kshitij is a former USRC student. At the USRC
 Kshitij worked on integrating HDF5 with PLFS, writing a plugin using HDF5's Virtual Object Layer (VOL) that uses LANL's PLFS.

Stevenson Jian,

PhD Student Electrical & Computer Engineering, U of Illinois at Urbana Champaign
Stevenson is a former USRC student. He was at USRC
 to study the reliability of different strengths of chipkill correct memories under different faulty DIMM replacement policies.

Santosh Mahapatra,

PhD Student, Computer Science, Florida State University

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Santosh is a former USRC student. He worked with the USRC Systems group on Interconnection networks evaluating different topologies across various routing schemes to identify the best networking paradigms for the next generation super-computers.

Daniel Campello,

PhD Student Computing & Info Sciences, Florida International University

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Daniel is a former USRC student. Daniel worked on the project "SoftPM: Software Persistent Memory", inspired by converting memory structures in persistent structures living in different types of storage media, all of this in a manner transparent to the developer. He worked to extend the SoftPM work for parallel computing and to examine the research challenges therein.

Michael Albrecht,

PhD Student, University of Notre Dame

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Michael Albrecht is a former USRC student. Ph.D. Michael developed and tested the feasibility of a hierarchical data and workflow manager for exascale supercomputing to deal with both data-intensive computing as well as simulation checkpointing and restart.

Ke Wang,

PhD Student Computer Science, Illinois Institute of Technolodgy

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Ke Want is a former USRC Student. He worked on simulations to build general framework for distributed system services, such as key-value store, job launch, job scheduling, and distributed file system, with up to exascales (millions of nodes). Their simulator supported different architectures, centralized server, centralized server with multiple aggregation servers, distributed servers with fully connected topology, and distributed servers with chord protocol. They also implemented different models, churn model, replication model, replication model and consistency model. The goal was to understand with all these models, to a certain, which architecture makes sense for system services.

Jun He,

PhD Student Computer Science, Illinois Institute of Technolodgy

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Jun He is a former USRC student. He worked on developing and evaluating algorithms by which patterns in the PLFS (Parallel Log-structured File System) metadata can be discovered and then used to replace the current metadata, in order to reduce metadata size

Hakan Akkan,

PhD Student Computer Science, New Mexico Tech

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Hakan is a former USRC student. He received his B.E. in Metallurgical and Materials Engineering from Middle East Technical University, Turkey. He then received a M.S. in Computer Science from New Mexico Tech where he went to get a doctoral degree in the same program. At the USRC he investigated OS and system software scalability for exascale computing.

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