upgrade to academic-4.3.1

This commit is contained in:
Carl Pearson
2019-05-20 16:10:07 -05:00
parent 38e8953e84
commit d3c5e8d6a0
13 changed files with 113 additions and 104 deletions

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@@ -33,7 +33,7 @@ education:
year: 2018 year: 2018
- course: BSc with High Distinction in Engineering - course: BSc with High Distinction in Engineering
institution: Harvey Mudd College institution: Harvey Mudd College
year: 2009 year: 2013
# Social/Academic Networking # Social/Academic Networking
# For available icons, see: https://sourcethemes.com/academic/docs/widgets/#icons # For available icons, see: https://sourcethemes.com/academic/docs/widgets/#icons

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@@ -32,6 +32,10 @@ subtitle = ""
[[content.filter_button]] [[content.filter_button]]
name = "IMPACT" name = "IMPACT"
tag = "impact" tag = "impact"
[[content.filter_button]]
name = "Personal"
tag = "personal"
[design] [design]
# Choose how many columns the section has. Valid values: 1 or 2. # Choose how many columns the section has. Valid values: 1 or 2.

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@@ -8,7 +8,7 @@ draft = false
# Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`. # Authors. Comma separated list, e.g. `["Bob Smith", "David Jones"]`.
authors = ["Carl Pearson"] authors = ["Carl Pearson"]
tags = [] tags = ["GPU", "Docker", "Continuous Integration"]
summary = "Host your own GPU continuous integration pipeline with a bit of Python, Docker, and Azure Pipelines" summary = "Host your own GPU continuous integration pipeline with a bit of Python, Docker, and Azure Pipelines"
@@ -72,7 +72,7 @@ Before I get any further into it, the code and documentation for hosting your ow
## Azure Pipelines and Self-Hosted Agents ## Azure Pipelines and Self-Hosted Agents
![][fig1] ![][fig2]
*Each container running on the self-hosted system registers itself with the custom pool on the Azure Pipelines cloud system. The self-hosted system has GPUs and large static datasets for testing. The nvidia-docker runtime allows the containers to access the host GPUs, and the large test datasets are mapped into each container as a read-only volume.* *Each container running on the self-hosted system registers itself with the custom pool on the Azure Pipelines cloud system. The self-hosted system has GPUs and large static datasets for testing. The nvidia-docker runtime allows the containers to access the host GPUs, and the large test datasets are mapped into each container as a read-only volume.*
For our purposes, Azure Pipelines has two important components. The first is the queue of CI pipelines, and the second are the agent pools. Each CI pipeline consists of multiple jobs, each of which can run on an agent in a specific pool. The agent pool is a list of agents that have registered themselves with Azure Pipelines. For example, if the client specifies that the job should run in the ubuntu-16.04 pool, the job will be executed by an agent somewhere in the Microsoft cloud. Azure Pipelines lets you create your own agent pools, and host your own agents! For our purposes, Azure Pipelines has two important components. The first is the queue of CI pipelines, and the second are the agent pools. Each CI pipeline consists of multiple jobs, each of which can run on an agent in a specific pool. The agent pool is a list of agents that have registered themselves with Azure Pipelines. For example, if the client specifies that the job should run in the ubuntu-16.04 pool, the job will be executed by an agent somewhere in the Microsoft cloud. Azure Pipelines lets you create your own agent pools, and host your own agents!

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@@ -0,0 +1,14 @@
---
title: GPU Continuous Integration with Azure Pipelines
summary:
tags:
- personal
date: "2016-04-27T00:00:00Z"
# Optional external URL for project (replaces project detail page).
external_link: "https://www.github.com/cwpearson/azure-pipelines-agent"
image:
caption:
focal_point: Smart
---

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@@ -1,49 +0,0 @@
+++
# 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 = "Static and Dynamic Graph Operations"
# 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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@@ -0,0 +1,44 @@
---
title: Multi-GPU Graph Library
summary: Accelerating Static and Dynamic Graph Operations
tags:
- impact
- c3sr
date: "2016-04-27T00:00:00Z"
# Optional external URL for project (replaces project detail page).
external_link: ""
image:
caption:
focal_point: Smart
links:
- icon: github
icon_pack: fab
name: Graph Challenge Code
url: https://github.com/c3sr/graph_challenge
- icon: github
icon_pack: fab
name: Graph Library Code
url: https://github.com/c3sr/pangolin
- icon: github
icon_pack: fab
name: Graph Dataset Tools
url: https://github.com/cwpearson/graph-datasets
- icon: link
icon_pack: fa
name: Graph Dataset Statistics
url: https://graph-datasets-stats.netlify.com
url_code: ""
url_pdf: ""
url_slides: ""
url_video: ""
# 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: ""
---

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@@ -1,48 +0,0 @@
+++
# Project title.
title = "Scope"
# Date this page was created.
date = 2018-07-24T09:28:43-05:00
# Project summary to display on homepage.
summary = "Heterogeneous System Benchmarking"
# Tags: can be used for filtering projects.
# Example: `tags = ["machine-learning", "deep-learning"]`
tags = ["c3sr"]
# 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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@@ -0,0 +1,36 @@
---
title: Scope
summary: GPU Microbenchmarking
tags:
- impact
- c3sr
date: "2016-04-27T00:00:00Z"
# Optional external URL for project (replaces project detail page).
external_link: ""
image:
caption:
focal_point: Smart
links:
- icon: github
icon_pack: fab
name: Scope
url: https://github.com/c3sr/scope
- icon: github
icon_pack: fab
name: Comm|Scope
url: https://github.com/c3sr/comm_scope
url_code: ""
url_pdf: ""
url_slides: ""
url_video: ""
# 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: ""
---

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@@ -30,6 +30,14 @@ url_video = ""
selected = false selected = false
# Projects (optional).
# Associate this publication with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects = ["deep-learning"]` references
# `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`.
projects = ["app_studies"]
# Featured image # Featured image
# To use, add an image named `featured.jpg/png` to your page's folder. # To use, add an image named `featured.jpg/png` to your page's folder.
[image] [image]

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@@ -43,7 +43,7 @@ selected = true
# E.g. `projects = ["deep-learning"]` references # E.g. `projects = ["deep-learning"]` references
# `content/project/deep-learning/index.md`. # `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`. # Otherwise, set `projects = []`.
projects = ["graph_challenge"] projects = ["graph_library"]
# Links (optional) # Links (optional)
url_pdf = "pdf/20180925_mailthody_iwoph.pdf" url_pdf = "pdf/20180925_mailthody_iwoph.pdf"

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@@ -17,7 +17,7 @@ url_pdf = "pdf/mlfmm-cem2017.pdf"
# Associate this talk with one or more of your projects. # Associate this talk with one or more of your projects.
# Simply enter the filename (excluding '.md') of your project file in `content/project/`. # Simply enter the filename (excluding '.md') of your project file in `content/project/`.
# E.g. `projects = ["deep-learning"]` references `content/project/deep-learning.md`. # E.g. `projects = ["deep-learning"]` references `content/project/deep-learning.md`.
projects = [] projects = ["app_studies"]
[header] [header]
caption = "" caption = ""

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@@ -19,7 +19,7 @@ selected = true
# E.g. `projects = ["deep-learning"]` references # E.g. `projects = ["deep-learning"]` references
# `content/project/deep-learning/index.md`. # `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`. # Otherwise, set `projects = []`.
projects = ["app_studies"] projects = []
# Links (optional). # Links (optional).
url_pdf = "" url_pdf = ""

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@@ -17,7 +17,7 @@ selected = true
# Associate this talk with one or more of your projects. # Associate this talk with one or more of your projects.
# Simply enter the filename (excluding '.md') of your project file in `content/project/`. # Simply enter the filename (excluding '.md') of your project file in `content/project/`.
# E.g. `projects = ["deep-learning"]` references `content/project/deep-learning.md`. # E.g. `projects = ["deep-learning"]` references `content/project/deep-learning.md`.
projects = [] projects = ["scope"]
# Links (optional). # Links (optional).
url_pdf = "" url_pdf = ""