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Start Over Year 2022 Committee Member Chitaranjan Das Committee Member Mehrdad Mahdavi

1. Accelerating Sparse LU Factorization

open_access
Open Access
Author:
Lakshmidevi, Harieasswar
Title:
Accelerating Sparse LU Factorization
Graduate Program:
Computer Science and Engineering (MS)
Keywords:
LU Factorization
GPU Acceleration
Sparse linear algebra
Symbolic factorization
Sparse linear solvers
File:
Download hlakshmidevi_masters_thesis.pdf
Committee Members:
Chitaranjan Das, Program Head/Chair
Kamesh Madduri, Thesis Advisor/Co-Advisor
Mahmut Taylan Kandemir, Committee Member
Mehrdad Mahdavi, Committee Member

2. Machine Learning and Optimization Applications on Near-term Quantum Computers

open_access
Open Access
Author:
Li, Junde
Title:
Machine Learning and Optimization Applications on Near-term Quantum Computers
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
Machine Learning
Quantum Computing
Computer Vision
Optimization
Variational Quantum Algorithms
Generative Models
Quantum Computation Advantages
File:
Download phd_dissertation_junde.pdf
Committee Members:
Chitaranjan Das, Program Head/Chair
Swaroop Ghosh, Chair & Dissertation Advisor
Mehrdad Mahdavi, Major Field Member
Nikolay Dokholyan, Outside Unit & Field Member
Chunhao Wang, Major Field Member

3. Exploration of Machine Learning Based Acceleration Methodologies

open_access
Open Access
Author:
Jiang, Huaipan
Title:
Exploration of Machine Learning Based Acceleration Methodologies
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
Machine learning
Acceleration
Approximation
File:
Download Exploration_of_Machine_Learning_Based_Acceleration_Methodologies.pdf
Committee Members:
Mahmut Kandemir, Chair & Dissertation Advisor
John Sampson, Major Field Member
Mehrdad Mahdavi, Major Field Member
Nikolay Dokholyan, Outside Unit & Field Member
Chitaranjan Das, Program Head/Chair

4. Systems Optimizations for Learning and Processing on Large Scale Graphs

open_access
Open Access
Author:
Ramezani, Morteza
Title:
Systems Optimizations for Learning and Processing on Large Scale Graphs
Graduate Program:
Computer Science and Engineering (PHD)
Keywords:
Graphs
Graph Processing
Graph Neural Networks
File:
Download PhD_Thesis_Updated.pdf
Committee Members:
Mahmut Kandemir, Co-Chair & Dissertation Advisor
C Lee Giles, Outside Unit & Field Member
Anand Sivasubramaniam, Co-Chair & Dissertation Advisor
Mehrdad Mahdavi, Major Field Member
Chitaranjan Das, Program Head/Chair