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Start Over Graduate Program Computer Science and Engineering Degree PHD Year 2014 Committee Member Padma Raghavan

1. Parallel I/o Profiling and Optimization in Hpc Systems

open_access
Open Access
Author:
Kim, Seong Jo
Title:
Parallel I/o Profiling and Optimization in Hpc Systems
Graduate Program:
Computer Science and Engineering
Keywords:
MPI-IO
PnetCDF
HDF5
PVFS
I/O Software Stack
Code Instrumentation
Code Generation
File:
Download phd14.pdf
Committee Members:
Mahmut Taylan Kandemir, Dissertation Advisor/Co-Advisor
Mahmut Taylan Kandemir, Committee Chair/Co-Chair
Mary Jane Irwin, Committee Member
Padma Raghavan, Committee Member
Dinghao Wu, Committee Member
Rajeev Thakur, Special Member

3. A Protean Attack on the Compute-storage Gap in High-performance Computing

open_access
Open Access
Author:
Wilson, Ellis H
Title:
A Protean Attack on the Compute-storage Gap in High-performance Computing
Graduate Program:
Computer Science and Engineering
Keywords:
Distributed Storage
High-Performance Computing
Hadoop
Filesystems
Compression
Deduplication
NAND Flash
Solid State Disks
File:
Download elliswilson_dissertation.pdf
Committee Members:
Mahmut Taylan Kandemir, Dissertation Advisor/Co-Advisor
Mahmut Taylan Kandemir, Committee Chair/Co-Chair
Padma Raghavan, Committee Member
Wang Chien Lee, Committee Member
Christopher J Duffy, Committee Member

4. Improving The Reliability And Power-efficiency characteristics Of Emerging Many-core multiprocessors

open_access
Open Access
Author:
Zhao, Hui
Title:
Improving The Reliability And Power-efficiency characteristics Of Emerging Many-core multiprocessors
Graduate Program:
Computer Science and Engineering
Keywords:
Chip Multiprocessors
reliability
power efficiency
program scalability
NoC design
File:
Download HuiZhao-Dissertation.pdf
Committee Members:
Mahmut Kandemir, Mary Jane Irwin, Dissertation Advisor/Co-Advisor
Mahmut Kandemir, Mary Jane Irwin, Committee Chair/Co-Chair
Padma Raghavan, Committee Member
Daniel Connell Haworth, Committee Member
Lee David Coraor, Committee Member

5. Improving Performance and Energy of Parallel Sparse Computations through Hybrid Linear Solvers and Model-driven Optimization

open_access
Open Access
Author:
Booth, Joshua Dennis
Title:
Improving Performance and Energy of Parallel Sparse Computations through Hybrid Linear Solvers and Model-driven Optimization
Graduate Program:
Computer Science and Engineering
Keywords:
Numerical
Sparse
Linear Solvers
High Performance Computing
Model-Driven
Energy Aware
Hybrid Solvers
Irregular Problems
File:
Download Booth-ThesisMain-V3.pdf
Committee Members:
Padma Raghavan, Dissertation Advisor/Co-Advisor
Mahmut Taylan Kandemir, Committee Member
Kamesh Madduri, Committee Member
Christopher J Duffy, Special Member