Update projects
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@@ -6,7 +6,7 @@ image_preview = ""
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summary = "Tools and Techniques for Code Acceleration"
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highlight = true
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math = false
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tags = ["c3sr"]
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tags = ["impact","c3sr"]
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[header]
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caption = ""
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@@ -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:
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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.
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I worked with Mert Hidayetoglu at Illinois on GPU acceleration of a massively-parallel tomographic image reconstruction code.
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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:
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- CUDA Kernel Optimization for [AWP](https://scec.usc.edu/scecpedia/AWP-ODC) with the Southern California Earthquake Center
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- OpenACC Acceleration for [SETSM](https://u.osu.edu/setsm/) with Ohio State University
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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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@@ -1,17 +0,0 @@
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highlight = true
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external_link = ""
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image_preview = ""
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summary = "Cognitive Application Builder"
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tags = ["c3sr"]
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date = "2017-03-13T21:24:51-05:00"
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title = "Cognitive Application Builder"
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math = false
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[header]
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caption = ""
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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"
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date = 2017-09-29T06:35:05-05:00
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draft = false
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# Tags: can be used for filtering projects.
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# Example: `tags = ["machine-learning", "deep-learning"]`
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tags = ["impact"]
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# Project summary to display on homepage.
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summary = "Students add a convolution layer to MXNet"
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# Optional image to display on homepage.
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image_preview = ""
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# Optional external URL for project (replaces project detail page).
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external_link = ""
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# Does the project detail page use math formatting?
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math = false
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# Does the project detail page use source code highlighting?
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highlight = true
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# Featured image
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# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
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[header]
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image = ""
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caption = ""
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I developed new course content for University of Illinois ECE 408 / CS 483 during the 2017 fall semester.
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* Four lectures on machine learning ([1][l1], [2][l2], [3][l3], [4][l4])
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* A [course project][project_repo] where students add a GPU convolution operator to MXNet.
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* Project kickoff [slides][kickoff-slides] ([repo][kickoff-repo]).
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I administered the project and revised it for the spring 2018 semester.
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[project_repo]: https://github.com/illinois-impact/ece408_project
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[l1]: ../../pdf/2017FA_ECE408_dl01_Intro.pdf
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[l2]: ../../pptx/2017FA_ECE408_dl02_FF-Gradient.pptx
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[l3]: ../../pptx/2017FA_ECE408_dl03_CNN01.pptx
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[l4]: ../../pptx/2017FA_ECE408_dl04_CNN02.pptx
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[kickoff-slides]: ../../pdf/2017FA_ECE408_project-kickoff.pdf
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[kickoff-repo]: https://github.com/illinois-impact/ece408_project-kickoff-slides
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49
content/project/graph_challenge.md
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49
content/project/graph_challenge.md
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# Project title.
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title = "Graph Challenge"
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# Date this page was created.
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date = 2019-01-09T00:00:00-05:00
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# Project summary to display on homepage.
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summary = "Heterogeneous System Benchmarking"
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# Tags: can be used for filtering projects.
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# Example: `tags = ["machine-learning", "deep-learning"]`
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tags = ["impact"]
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# Optional external URL for project (replaces project detail page).
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#external_link = "https://github.com/rai-project/scope"
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# Slides (optional).
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# Associate this project with Markdown slides.
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# Simply enter your slide deck's filename without extension.
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# E.g. `slides = "example-slides"` references
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# `content/slides/example-slides.md`.
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# Otherwise, set `slides = ""`.
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slides = ""
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# Links (optional).
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url_pdf = ""
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url_slides = ""
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url_video = ""
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url_code = ""
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# Custom links (optional).
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# Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
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#url_custom = [
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# {icon_pack = "fab", icon="github", name="SCOPE", url = "https://github.com/c3sr/scope"},
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# {icon_pack = "fab", icon="github", name="Comm|Scope", url = "https://github.com/c3sr/comm_scope"}
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#]
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# Featured image
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# To use, add an image named `featured.jpg/png` to your project's folder.
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[image]
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# Caption (optional)
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caption = "Photo by rawpixel on Unsplash"
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# Focal point (optional)
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# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
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focal_point = "Smart"
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@@ -1,31 +0,0 @@
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title = "latex-docker"
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date = 2017-10-18T12:47:48-05:00
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draft = false
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# Tags: can be used for filtering projects.
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# Example: `tags = ["machine-learning", "deep-learning"]`
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tags = ["personal"]
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# Project summary to display on homepage.
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summary = "Docker images with latex"
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# Optional image to display on homepage.
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image_preview = ""
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# Optional external URL for project (replaces project detail page).
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external_link = "https://github.com/cwpearson/latex-docker"
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# Does the project detail page use math formatting?
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math = false
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# Does the project detail page use source code highlighting?
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highlight = true
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# Featured image
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# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
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[header]
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image = ""
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caption = ""
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@@ -1,16 +0,0 @@
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summary = "An LLVM Version Manager"
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tags = ["personal"]
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highlight = true
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external_link = "https://github.com/cwpearson/llvmvm"
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math = false
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image_preview = ""
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date = "2017-03-13T04:23:32-05:00"
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title = "llvmvm"
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[header]
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caption = ""
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image = ""
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+++
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@@ -1,31 +0,0 @@
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title = "Resume/CV"
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date = 2017-09-27T16:45:32-05:00
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draft = false
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# Tags: can be used for filtering projects.
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# Example: `tags = ["machine-learning", "deep-learning"]`
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tags = ["personal"]
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# Project summary to display on homepage.
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summary = "Generate PDF, docx, html, and txt resume/cv from a single markdown source."
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# Optional image to display on homepage.
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image_preview = ""
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# Optional external URL for project (replaces project detail page).
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external_link = "https://github.com/cwpearson/resume"
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# Does the project detail page use math formatting?
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math = false
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# Does the project detail page use source code highlighting?
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highlight = false
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# Featured image
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# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
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[header]
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image = ""
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caption = ""
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@@ -1,31 +1,48 @@
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# Project title.
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title = "Scope"
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# Date this page was created.
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date = 2018-07-24T09:28:43-05:00
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draft = false
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# Project summary to display on homepage.
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summary = "Heterogeneous System Benchmarking"
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# Tags: can be used for filtering projects.
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# Example: `tags = ["machine-learning", "deep-learning"]`
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tags = ["c3sr"]
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# Project summary to display on homepage.
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summary = "Heterogeneous System Benchmarking"
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# Optional image to display on homepage.
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image_preview = ""
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# Optional external URL for project (replaces project detail page).
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external_link = "https://github.com/rai-project/scope"
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#external_link = "https://github.com/rai-project/scope"
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# Does the project detail page use math formatting?
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math = false
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# Slides (optional).
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# Associate this project with Markdown slides.
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# Simply enter your slide deck's filename without extension.
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# E.g. `slides = "example-slides"` references
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# `content/slides/example-slides.md`.
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# Otherwise, set `slides = ""`.
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slides = ""
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# Does the project detail page use source code highlighting?
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highlight = true
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# Links (optional).
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url_pdf = ""
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url_slides = ""
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url_video = ""
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url_code = ""
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# Custom links (optional).
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# Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
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url_custom = [
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{icon_pack = "fab", icon="github", name="SCOPE", url = "https://github.com/c3sr/scope"},
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{icon_pack = "fab", icon="github", name="Comm|Scope", url = "https://github.com/c3sr/comm_scope"}]
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# Featured image
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# Place your image in the `static/img/` folder and reference its filename below, e.g. `image = "example.jpg"`.
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[header]
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image = ""
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caption = ""
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# To use, add an image named `featured.jpg/png` to your project's folder.
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[image]
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# Caption (optional)
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caption = "Photo by rawpixel on Unsplash"
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# Focal point (optional)
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# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
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focal_point = "Smart"
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+++
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48
content/project/teaching_tools.md
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48
content/project/teaching_tools.md
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+++
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# Project title.
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title = "Teaching Tools"
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# Date this page was created.
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date = 2016-01-01T00:00:00-05:00
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# Project summary to display on homepage.
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summary = "Software to support GPU programming classes"
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# Tags: can be used for filtering projects.
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# Example: `tags = ["machine-learning", "deep-learning"]`
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tags = ["impact"]
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# Optional external URL for project (replaces project detail page).
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#external_link = "https://github.com/rai-project/scope"
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# Slides (optional).
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# Associate this project with Markdown slides.
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# Simply enter your slide deck's filename without extension.
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# E.g. `slides = "example-slides"` references
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# `content/slides/example-slides.md`.
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# Otherwise, set `slides = ""`.
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slides = ""
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# Links (optional).
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url_pdf = ""
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url_slides = ""
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url_video = ""
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url_code = ""
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# Custom links (optional).
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# Uncomment line below to enable. For multiple links, use the form `[{...}, {...}, {...}]`.
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url_custom = [
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{icon_pack = "fab", icon="github", name="rai", url = "https://github.com/rai-project/rai"},
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]
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# Featured image
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# To use, add an image named `featured.jpg/png` to your project's folder.
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[image]
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# Caption (optional)
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caption = "Photo by rawpixel on Unsplash"
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# Focal point (optional)
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# Options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight
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focal_point = "Smart"
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+++
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