Nicole Rodia

About Me

I am a PhD student in the Electrical Engineering Department at Stanford University, where I work with Kunle Olukotun in the Pervasive Parallelism Laboratory.

My research interests are in computer architecture and computer systems. Specifically, I am interested in parallel and heterogeneous architectures and application-specific accelerators, and how we can design and program them to continue improving application performance and efficiency in the face of limits to frequency and power scaling. For my PhD research, I study hardware and software optimizations for large-scale, parallel graph analysis, focusing on the memory hierarchy.

When I am not working on my research, I enjoy playing tennis, hiking, cycling, and photography. I also play the flute, and formerly played in the Stanford Philharmonia and the Stanford Symphony Orchestra.

I hold a Master of Science in Electrical Engineering from Stanford University (2011) and a Bachelor of Science in Electrical and Computer Engineering from Cornell University (2009).

View my one-page resume and my CV.

Publications

• On Fast Parallel Detection of Strongly Connected Components (SCC) in Small-World Graphs
  Sungpack Hong, Nicole C. Rodia, Kunle Olukotun
  In Proceedings of the 2013 International Conference on High Performance Computing, Networking, Storage and Analysis (SC '13), November 2013
  Paper PDF | Code | Slides


• On Fast Parallel Detection of Strongly Connected Components (SCC) in Small-World Graphs (Technical Report)
  Sungpack Hong, Nicole C. Rodia, Kunle Olukotun
  Technical Report, March 2013
  Paper PDF

Talks

• Characterizing and Improving Graph Algorithm Performance on Multicore Systems
  PhD Oral Defense Talk, Stanford, CA, April 2017


• Characterizing Parallel Graph Analysis Algorithms
  Berkeley-Stanford Women in CS and EE Research Meetup, Stanford, CA, April 2014


• Fast Detection of Strongly Connected Components (SCC) in Small-World Graphs
  PPL Retreat, Half Moon Bay, CA, January 2014
  Slides


• A Simulation-Based Study of Graph Algorithm Characteristics
  Oracle Labs, Redwood Shores, CA, May 2012


• Accelerometer-Based Pedometry for Indoor Localization
  Qualcomm Research & Development, Santa Clara, CA, October 2010


• Indoor Localization Using Cell Phone Sensors
  Qualcomm Research & Development, Santa Clara, CA, April 2010

Posters

• Characterizing Data Locality in Parallel Graph Algorithms
  Nicole Rodia and Kunle Olukotun
  Industry-Academia Partnership (IAP) Stanford Workshop on the Future of Cloud Computing, Stanford, CA, October 2016
  Poster PDF


• Characterizing Memory Access Patterns in Parallel Graph Analysis Algorithms
  Nicole Rodia and Kunle Olukotun
  DiscoverEE Days, Stanford, CA, March 2016


• Characterizing Parallel Graph Analysis Algorithms on Multicore Systems
  Nicole Rodia and Kunle Olukotun
  PPL Retreat, San Francisco, CA, May 2015
  Poster PDF


• Characterizing Parallel Social and Information Network Analysis Algorithms
  Nicole Rodia and Kunle Olukotun
  Army High Performance Computing Research Center (AHPCRC) Booth, SC '13, Denver, CO, November 2013


• A Simulation-Based Study of Graph Algorithm Characteristics
  Nicole Rodia and Kunle Olukotun
  PPL Retreat, San Francisco, CA, June 2012
  Poster PDF


• A Data-Centric Parallel Architecture for High Performance Graph Processing
  Tayo Oguntebi, Nicole Rodia, Sungpack Hong, Kunle Olukotun
  PPL Retreat, Half Moon Bay, CA, January 2012
  Poster PDF