Update projects

This commit is contained in:
Carl Pearson
2019-01-09 07:11:49 -06:00
parent eff0adc845
commit e122e08d62
26 changed files with 301 additions and 191 deletions

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summary = "Tools and Techniques for Code Acceleration"
highlight = true
math = false
tags = ["c3sr"]
tags = ["impact","c3sr"]
[header]
caption = ""
@@ -14,9 +14,11 @@ tags = ["c3sr"]
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I am part of the IME-Accelerators team for the NCSA PAID program. This program pairs domain scientists with computing specialists to improve effective utilization of the Blue Waters supercomputer at the National Petascale Computing Facility. I have worked on:
I worked with Abdul Dakkak and Cheng Li at Illinois on a full-stack performance analasis platform for machine learning software. The same infrastructure is also used to deliver some course projects for GPU programming courses.
I worked with Mert Hidayetoglu at Illinois on GPU acceleration of a massively-parallel tomographic image reconstruction code.
I was part of the IME-Accelerators team for the NCSA PAID program. This program pairs domain scientists with computing specialists to improve effective utilization of the Blue Waters supercomputer at the National Petascale Computing Facility. I have worked on:
- CUDA Kernel Optimization for [AWP](https://scec.usc.edu/scecpedia/AWP-ODC) with the Southern California Earthquake Center
- OpenACC Acceleration for [SETSM](https://u.osu.edu/setsm/) with Ohio State University
I am also working on applying tools developed by the IMPACT research group to high-performance code in collaboration with Huawei.

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highlight = true
external_link = ""
image_preview = ""
summary = "Cognitive Application Builder"
tags = ["c3sr"]
date = "2017-03-13T21:24:51-05:00"
title = "Cognitive Application Builder"
math = false
[header]
caption = ""
image = ""
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The Cognitive Application Builder (CAB) is part of the joint UIUC / IBM C3SR cognitive computing systems research center. CAB will allow cognitive application developers to quickly write and debug high-performance scalable cogntitive computing applications.

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title = "ECE408 / CS483 Course Development"
date = 2017-09-29T06:35:05-05:00
draft = false
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["impact"]
# Project summary to display on homepage.
summary = "Students add a convolution layer to MXNet"
# Optional image to display on homepage.
image_preview = ""
# Optional external URL for project (replaces project detail page).
external_link = ""
# Does the project detail page use math formatting?
math = false
# Does the project detail page use source code highlighting?
highlight = true
# Featured image
# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
[header]
image = ""
caption = ""
+++
I developed new course content for University of Illinois ECE 408 / CS 483 during the 2017 fall semester.
* 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]).
I administered the project and revised it for the spring 2018 semester.
[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

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# Project title.
title = "Graph Challenge"
# Date this page was created.
date = 2019-01-09T00:00:00-05:00
# Project summary to display on homepage.
summary = "Heterogeneous System Benchmarking"
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["impact"]
# Optional external URL for project (replaces project detail page).
#external_link = "https://github.com/rai-project/scope"
# Slides (optional).
# Associate this project with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references
# `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides = ""
# Links (optional).
url_pdf = ""
url_slides = ""
url_video = ""
url_code = ""
# Custom links (optional).
# Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
#url_custom = [
# {icon_pack = "fab", icon="github", name="SCOPE", url = "https://github.com/c3sr/scope"},
# {icon_pack = "fab", icon="github", name="Comm|Scope", url = "https://github.com/c3sr/comm_scope"}
#]
# Featured image
# To use, add an image named `featured.jpg/png` to your project's folder.
[image]
# Caption (optional)
caption = "Photo by rawpixel on Unsplash"
# Focal point (optional)
# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
focal_point = "Smart"
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title = "latex-docker"
date = 2017-10-18T12:47:48-05:00
draft = false
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["personal"]
# Project summary to display on homepage.
summary = "Docker images with latex"
# Optional image to display on homepage.
image_preview = ""
# Optional external URL for project (replaces project detail page).
external_link = "https://github.com/cwpearson/latex-docker"
# Does the project detail page use math formatting?
math = false
# Does the project detail page use source code highlighting?
highlight = true
# Featured image
# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
[header]
image = ""
caption = ""
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summary = "An LLVM Version Manager"
tags = ["personal"]
highlight = true
external_link = "https://github.com/cwpearson/llvmvm"
math = false
image_preview = ""
date = "2017-03-13T04:23:32-05:00"
title = "llvmvm"
[header]
caption = ""
image = ""
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title = "Resume/CV"
date = 2017-09-27T16:45:32-05:00
draft = false
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["personal"]
# Project summary to display on homepage.
summary = "Generate PDF, docx, html, and txt resume/cv from a single markdown source."
# Optional image to display on homepage.
image_preview = ""
# Optional external URL for project (replaces project detail page).
external_link = "https://github.com/cwpearson/resume"
# Does the project detail page use math formatting?
math = false
# Does the project detail page use source code highlighting?
highlight = false
# Featured image
# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
[header]
image = ""
caption = ""
+++

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# Project title.
title = "Scope"
# Date this page was created.
date = 2018-07-24T09:28:43-05:00
draft = false
# Project summary to display on homepage.
summary = "Heterogeneous System Benchmarking"
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["c3sr"]
# Project summary to display on homepage.
summary = "Heterogeneous System Benchmarking"
# Optional image to display on homepage.
image_preview = ""
# Optional external URL for project (replaces project detail page).
external_link = "https://github.com/rai-project/scope"
#external_link = "https://github.com/rai-project/scope"
# Does the project detail page use math formatting?
math = false
# Slides (optional).
# Associate this project with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references
# `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides = ""
# Does the project detail page use source code highlighting?
highlight = true
# Links (optional).
url_pdf = ""
url_slides = ""
url_video = ""
url_code = ""
# Custom links (optional).
# Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
url_custom = [
{icon_pack = "fab", icon="github", name="SCOPE", url = "https://github.com/c3sr/scope"},
{icon_pack = "fab", icon="github", name="Comm|Scope", url = "https://github.com/c3sr/comm_scope"}]
# Featured image
# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
[header]
image = ""
caption = ""
# To use, add an image named `featured.jpg/png` to your project's folder.
[image]
# Caption (optional)
caption = "Photo by rawpixel on Unsplash"
# Focal point (optional)
# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
focal_point = "Smart"
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# Project title.
title = "Teaching Tools"
# Date this page was created.
date = 2016-01-01T00:00:00-05:00
# Project summary to display on homepage.
summary = "Software to support GPU programming classes"
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["impact"]
# Optional external URL for project (replaces project detail page).
#external_link = "https://github.com/rai-project/scope"
# Slides (optional).
# Associate this project with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references
# `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides = ""
# Links (optional).
url_pdf = ""
url_slides = ""
url_video = ""
url_code = ""
# Custom links (optional).
# Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
url_custom = [
{icon_pack = "fab", icon="github", name="rai", url = "https://github.com/rai-project/rai"},
]
# Featured image
# To use, add an image named `featured.jpg/png` to your project's folder.
[image]
# Caption (optional)
caption = "Photo by rawpixel on Unsplash"
# Focal point (optional)
# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
focal_point = "Smart"
+++