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title = "About Me"
description = ""
date = ""
aliases = ["about-us", "about-hugo", "contact"]
author = "Carl Pearson"
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I am a PhD candidate in the Electrical and Computer Engineering department at the University of Illinois at Urbana-Champaign and a member of the [IMPACT Research Group](http://impact.crhc.illinois.edu/) led by Wen-Mei Hwu.
I am working on multi-GPU communication and scaling as part of the joint UIUC / IBM C3SR cognitive computing systems research center. The focus of these activities is to apply tools and techniques developed in the IMPACT group to improve the performance of real-world applications.
## Teaching
- 2018 Spring University of Illinois Project TA for ECE408/CS483
- 2017 Fall University of Illinois Head TA for ECE408/CS483
- 2017-2018 University of Illinois [Mavis Future Faculty Fellow](http://publish.illinois.edu/engr-mavis/2017-2018-mavis-fellows/).
- 2015 Fall University of Illinois TA for ECE408
I have been a teaching assistant for the following courses:
- ECE408/CS483: Heterogeneous Parallel Programming at the University of Illinois
- E155: Microprocesser-based Systems: Design & Applications at Harvey Mudd College
- E85: Digital Electronics and Computer Architecture at Harvey Mudd College
I have also been a teaching assistant for the Programming and Tuning Massively Parallel Systems
[(PUMPS)](http://bcw.ac.upc.edu/PUMPS2017/) summer school in Barcelona since 2014.
I have also mentored undergraduates and a high school student, who is a co-author on two papers.
During the Mavis fellowship, I administered the ECE 408 GPU programming project in spring 2018. I created
* Four lectures on machine learning ([1][l1], [2][l2], [3][l3], [4][l4])
* A [course project][project_repo] where students add a GPU convolution operator to MXNet.
* Project kickoff [slides][kickoff-slides] ([repo][kickoff-repo]).
[project_repo]: https://github.com/illinois-impact/ece408_project
[l1]: ../../pdf/2017FA_ECE408_dl01_Intro.pdf
[l2]: ../../pptx/2017FA_ECE408_dl02_FF-Gradient.pptx
[l3]: ../../pptx/2017FA_ECE408_dl03_CNN01.pptx
[l4]: ../../pptx/2017FA_ECE408_dl04_CNN02.pptx
[kickoff-slides]: ../../pdf/2017FA_ECE408_project-kickoff.pdf
[kickoff-repo]: https://github.com/illinois-impact/ece408_project-kickoff-slides
I also created a set of resources on using Nvidia's Nsight Compute and Nsight Systems performance profiling tools, including a 75 minute recorded lecture.
See the [Github repository](https://github.com/cwpearson/nvidia-performance-tools) to get started.