Arnamoy Bhattacharyya
- Courses1
- Reviews20
- School: University of Toronto
- Campus: St. George Campus
- Department: Computer Science
- Email address: Join to see
- Phone: Join to see
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Location:
Toronto, ON - Dates at University of Toronto: March 2018 - April 2018
- Office Hours: Join to see
N/A
Would take again: Yes
For Credit: Yes
0
0
Awesome
Prof. Bhattacharyya's lectures are the only reason why I'm motivated to go to school. I enjoyed them a lot.
Biography
University of Toronto St. George Campus - Computer Science
PhD Fellow ★ University of Toronto ★ Cloud Computing ★ Anomaly Detection ★ Data Scientist ★ Software Engineer
Arnamoy
Bhattacharyya
Toronto, Ontario, Canada
**I believe in the power of networking, that's why I am a LinkedIn Open Networker (LION). Please feel free to connect with me using my email address: arnamoy10@gmail.com**
I am currently a PhD student in University of Toronto. I am working in the area of cloud computing, my focus is mainly on the realtime detection of anomalies in the cloud. After my PhD, I want to join the R&D department of a company.
Experience
Education
University of Toronto
Doctor of Philosophy (PhD)
Computer Engineering
University of Toronto
PHD Fellow
University of Toronto
Sessional Lecturer
Taught Introduction to Programming (Using python) to first year undegrads.University of Alberta
Master of Science (M.Sc.)
Compiler Optimization, Computing Science
University of Alberta
Research And Teaching Assistant
Lab Assistant, Grading, Occasional Lectures, Help in Solving Assignments
Publications
Data-dependence Profiling to Enable Safe Thread Level Speculation
IBM Cascon 2015
Data-dependence Profiling to Enable Safe Thread Level Speculation
IBM Cascon 2015
Automatic speculative parallelization of loops using polyhedral dependence analysis
COSMIC Workshop 2013 (with CGO)
Data-dependence Profiling to Enable Safe Thread Level Speculation
IBM Cascon 2015
Automatic speculative parallelization of loops using polyhedral dependence analysis
COSMIC Workshop 2013 (with CGO)
PEMOGEN: Automatic Adaptive Performance Modeling during Program Runtime
ACM
Data-dependence Profiling to Enable Safe Thread Level Speculation
IBM Cascon 2015
Automatic speculative parallelization of loops using polyhedral dependence analysis
COSMIC Workshop 2013 (with CGO)
PEMOGEN: Automatic Adaptive Performance Modeling during Program Runtime
ACM
Using Compiler Techniques to Improve Automatic Performance Modeling
PACT 2015
Data-dependence Profiling to Enable Safe Thread Level Speculation
IBM Cascon 2015
Automatic speculative parallelization of loops using polyhedral dependence analysis
COSMIC Workshop 2013 (with CGO)
PEMOGEN: Automatic Adaptive Performance Modeling during Program Runtime
ACM
Using Compiler Techniques to Improve Automatic Performance Modeling
PACT 2015
Do inputs matter?: using data-dependence profiling to evaluate thread level speculation in BG/Q
PACT 2013
Data-dependence Profiling to Enable Safe Thread Level Speculation
IBM Cascon 2015
Automatic speculative parallelization of loops using polyhedral dependence analysis
COSMIC Workshop 2013 (with CGO)
PEMOGEN: Automatic Adaptive Performance Modeling during Program Runtime
ACM
Using Compiler Techniques to Improve Automatic Performance Modeling
PACT 2015
Do inputs matter?: using data-dependence profiling to evaluate thread level speculation in BG/Q
PACT 2013
Using combined profiling to decide when thread level speculation is profitable
PACT 2012
