About Me


Dr. Nina-Paravecino received her Ph.D. in Computer Engineering from Northeastern University in 2017. She received M.Sc. in Computer Engineering from University of Puerto Rico at Mayaguez Campus in 2011 and B.S. in System and Informatics Engineering from University of San Antonio Abad of Cusco in 2008.

In recent years, she has been working on characterization of advance parallel features such as nested parallelism and concurrent kernel execution on modern GPU architectures. Her characterization has contributed to efficiently exploit GPU architectures and provide a framework to identify bottlenecks that can be improved through the exploitation of nested parallelism and concurrent kernel execution.

Dr. Nina-Paravecino was instructor of the GPU Parallel Programming course at Northeastern University during Spring 2016. She provided lectures of the CUDA Programming model, from execution model to advanced parallel features. She also has mentored undergrad/grad students from the ECE deparments.

Dr. Nina-Paravecino has been part of Women in Computing, and Latinas in Computing. She was a PC member for Latinity, first conference of Latinas in Computing, held in Chile in 2015. Dr. Nina-Paravecino was a student council member at the University of San Antonio Abad of Cusco in 2004. She graduated with summa cum laude from University of San Antonio Abad of Cusco, and achieved the best grade for her undergrad thesis. She was a Grace Hopper Scholar in 2013, and Facebook-GHC scholar in 2016. Dr. Nina-Paravecino has been featured in NVIDIA "Women and CUDA" in 2015, and she received the best poster award at the High Performance Computing Day at University of Massachusetts - Dartmouth campus in 2016, and she was recognized as an outstanding research assistant for her contribution during her Ph.D. program at Northeastern University in 2017.

Download Resume

Publications


  1. [1] Fanny Nina-Paravecino, Julian Gutierrez, Norm Rubin, Qianqian Fang, and David Kaeli. "Exploiting Nested Parallelism to Accelerate Parallel Recursive Graph Algorithms." 1st International Workshop on Architecture for Graph Processing (AGP), Jun, 2017.

  2. [2] Fanny Nina-Paravecino, Leiming Yu, Qianqian Fang, and David Kaeli. "High-Performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging." Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017.

  3. [3] Julian Gutierrez, Fanny Nina-Paravecino, and David Kaeli. "A fast level-set segmentation algorithm for image processing designed for parallel architectures." Proceedings of the Sixth Workshop on Irregular Applications: Architectures and Algorithms(IA^3). IEEE Press, 2016.

  4. [4] Julian Gutierrez, Fanny Nina-Paravecino, and David Kaeli. “A Fast Level-Set Segmentation Algorithm Leveraging Parallel Architectures.” Programming and Tuning Massively Parallel Systems (PUMPS) Summer School, July 11-15, 2016.
  5. [5] Fanny Nina-Paravecino, Leiming Yu, Qianqian Fang, and David Kaeli. “MCX: Accelerated Monte Carlo Simulation of Photon Migration in 3D Turbid Media.” High Performance Computing (HPC) Day, May 2016.
  6. [6] Fanny Nina-Paravecino, Leiming Yu, Qianqian Fang, and David Kaeli. "Portable Performance for Monte Carlo Simulations of Photon Migration in 3D Turbid Media for Single and Multiple GPUs." GPU Technology Conference. GTC, April 2016.
  7. [7] Fanny Nina-Paravecino, and David Kaeli. "Real-Time Image Segmentation for Homeland Security Exploiting Hyper-Q Concurrency." GPU Technology Conference. GTC, March 2015.
  8. [8] Saoni Mukherjee, Xiang Gong, Leiming Yu, Carter McCardwell, Yash Ukidave, Tuan Dao, Fanny Nina-Paravecino, and David Kaeli. “Exploring the Features of OpenCL 2.0”. International Workshop on OpenCL. IWOCL, 2015.
  9. [9] Yash Ukidave, Fanny Nina-Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry and David Kaeli. "NUPAR: A Benchmark Suite for Modern GPU Architectures." International Conference on Performance Engineering. ICPE, 2015.
  10. [10] Fanny Nina-Paravecino, Evan Hovaniak, and David Kaeli. “Image Segmentation using Graph Analysis on GPUs”, Boston Area Architecture Workshop. BARC 2015.
  11. [11] Fanny Nina-Paravecino, and David Kaeli. "Accelerated Connected Component Labeling Using CUDA Framework." Computer Vision and Graphics. Springer International Publishing, 2014. 502-509.
  12. [12] Fanny Nina-Paravecino and Vidya Manian. "Spherical harmonics as a shape descriptor for hyperspectral image classification." SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2010.
  13. [13] Fanny Nina-Paravecino and Vidya Manian. “Spherical Harmonics as a Shape Descriptor for Identifying Structures of Interest in Multispectral/hyperspectral Images.” Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS) Research and Industrial Collaboration Conference. CenSSIS, 2010.

Some Stats


6

Talks

8

Awards received

13

Publications

10

Years of Experience

Experience


  • May 2017
    -
    Present

    Intel Corporation

    Graphics Software Engineer

    FreeD technology.

  • Sep 2012
    -
    April 2017

    Northeastern University

    Graduate Research Assistant

    • Member of Northeastern University Computer Architecture Research Group (NUCAR), under supervision of Dr. David Kaeli.
    • Research on high performance analysis and characterization of parallel architecture such as GPU for different algorithms including image processing, Monte Carlo simulation of photon migration, pattern recognition, image filtering, among others. Specifically focused on branch divergence, nested parallelism, and concurrent kernel execution.

  • Jan 2015
    -
    Aug 2015

    Apple Inc

    Graphics Software Engineer

    Member of Metal Performance Shaders (MPS) development team. MPS is a framework of highly optimized compute and graphics shaders developed on Metal framework. These data-parallel kernels are specially tuned to leverage unique hardware characteristics of each GPU family to ensure optimal performance.

  • Jul 2012
    -
    Aug 2012

    Analogic Corporation

    Co-op, Engineer

    Developed a bash implementation to test effectiveness of XBL security scanner.

  • Sep 2011
    -
    Jun 2012

    Northeastern University

    Graduate Teaching Assistant

    Laboratory teaching and grading of: Fundamentals of Computer Engineering – Graduate class, Fundamentals of Software Construction – Graduate class, and Optimization Methods – Undergraduate class

  • Jan 2009
    -
    Jul 2011

    University of Puerto Rico at Mayagüez

    Graduate Research Assistant

    Developed high performance algorithms for advance object recognition and processing hyperspectral images using MatLab, Envi and CUDA.
    Master Thesis on Object Recognition using Spherical Harmonics shape descriptor in Hyperspectral imagery. Analyzed spherical harmonics as an advance descriptor for object recognition in HYDICE and SOC-700 hyperspectral images.

  • Jul 2008
    -
    Dec 2008

    Avances Tecnologicos S.r.l

    Software Engineer

    Analyzed and developed Web Application in .Net 2003 and 2005 with MS SQL Server 2000 and 2005.

  • Nov 2007
    -
    Jun 2008

    Zoluxiones Consulting

    Software Engineer

    Analyzed and developed Web Application in .Net 2003 and 2005 with MS SQL Server 2000 and 2005.

  • Feb 2006
    -
    Dec 2007

    Internet Studios Perú E.I.R.L

    Web Developer, Web Designer

    Search Engine Optimization (SEO). Link Building.

  • Dec 2004
    -
    Apr 2005

    Microsoft Perú

    Student Member of Quechua Project

    Translated Microsoft XP from Spanish interface to Quechua Interface using Microsoft Localization Studio.

Education


  • 2011
    -
    2017

    Northeastern University

    PhD in Computer Engineering

    Thesis: Characterization and exploitation of nested parallelism and concurrent kernel execution to accelerate high performance applications.

  • 2009
    -
    2011

    University of Puerto Rico at Mayagüez

    Master of Science in Computer Engineering

    Thesis: Object recognition using spherical harmonics shape descriptor in hyperspectral imagery.

  • 2001
    -
    2005

    University of San Antonio Abad of Cusco – Peru

    Bachelor of Science in Systems and Informatics Engineering

Contact


San Jose,
CA 95134

fninaparavecino at ece dot neu dot edu