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Start Over Degree PHD Year 2021 Committee Member Chitaranjan Das Committee Member Mahmut Kandemir

1. Performance and Lifetime Management Strategies for High-density 3D NAND Flash Storage

open_access
Open Access
Author:
Liu, Chun Yi
Title:
Performance and Lifetime Management Strategies for High-density 3D NAND Flash Storage
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
3D NAND flash
3D NAND SSD
Garbage Collection
SSD characterization
SSD management
Write amplification
File:
Download Chun-Yi.pdf
Committee Members:
Chitaranjan Das, Major Field Member
Mahmut Kandemir, Chair & Dissertation Advisor
Bhuvan Urgaonkar, Major Field Member
Prasenjit Mitra, Outside Unit & Field Member
Chitaranjan Das, Program Head/Chair

2. Maximizing Resource Efficiency for Next Generation Cloud Platforms

open_access
Open Access
Author:
Gunasekaran, Jashwant Raj
Title:
Maximizing Resource Efficiency for Next Generation Cloud Platforms
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
cloud
datacenter
performance
cost
File:
Download Jashwant_Dissertation.pdf
Committee Members:
Chitaranjan Das, Co-Chair & Dissertation Advisor
George Kesidis, Major Field Member
Mahmut Kandemir, Co-Chair & Dissertation Advisor
Bhuvan Urgaonkar, Major Field Member
Anton Nekrutenko, Outside Unit & Field Member
Bikash Sharma, Special Member
Chitaranjan Das, Program Head/Chair

3. Efficient Service Deployment on Public Cloud: A Cost, Performance, and Security Perspective

open_access
Open Access
Author:
Fatahi Baarzi, Ataollah
Title:
Efficient Service Deployment on Public Cloud: A Cost, Performance, and Security Perspective
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
Cloud Computing
Resource Management
Service Deployment
File:
Download AtaFatahiThesis.pdf
Committee Members:
George Kesidis, Chair & Dissertation Advisor
Timothy Zhu, Major Field Member
Mahmut Kandemir, Major Field Member
Uday Shanbhag, Outside Unit & Field Member
Chitaranjan Das, Program Head/Chair

4. Architecture-Centric Bottleneck Analysis for Machine Learning and Deep Learning Applications

open_access
Open Access
Author:
Ryoo, Jihyun
Title:
Architecture-Centric Bottleneck Analysis for Machine Learning and Deep Learning Applications
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
Computer architecture
Architecture profiling
Machine learning
Deep learning
Analysis model
High performance computing
Manycore systems
Parallel computing
File:
Download Jihyun_Ryoo_Dissertation.pdf
Committee Members:
Kamesh Madduri, Major Field Member
Mahmut Kandemir, Chair & Dissertation Advisor
John Sampson, Major Field Member
Dinghao Wu, Outside Unit & Field Member
Chitaranjan Das, Program Head/Chair