Updating students, QDB pub
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Rakefile
3
Rakefile
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@ -57,6 +57,9 @@ site :odin_lab, out: "build" do
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for_files(/papers\/index.html/) do
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add_dependency "db/publications.json"
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end
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for_files(/research\/.*\/index.html/) do
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add_dependency "db/lab.json"
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end
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## Static assets
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add_assets([
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48
db/lab.json
48
db/lab.json
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@ -37,20 +37,8 @@
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},
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"Poonam Kumari" : {
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"status" : "PhD",
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"projects" : ["astral"],
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"ubit" : "poonamku"
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},
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"Razieh Fathi" : {
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"status" : "PhD",
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"ubit" : "raziehfa",
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"advisor" : ["Lukasz Ziarek"],
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"joint_advisor": true
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},
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"Arindam Nandi" : {
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"status" : "MS",
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"projects" : ["mimir"],
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"ubit" : "arindamn",
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"link" : "http://legacy25.github.io/about.html"
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"ubit" : "poonamku"
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},
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"Patrick Coonan" : {
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"status" : "BS/MS",
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@ -66,6 +54,34 @@
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"status" : "PhD",
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"projects" : ["mimir"],
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"ubit" : "ahuber"
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},
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"Hank Lin" : {
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"status" : "BS",
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"projects" : ["astral"]
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},
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"Saurav Singhe" : {
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"status" : "PhD",
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"projects" : ["astral"]
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},
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"Grant Wrazen" : {
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"status" : "BS",
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"projects" : ["pocketdata"]
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},
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"Lakshmi Prasanna Ethiraj" : {
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"status" : "BS",
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"projects" : ["pocketdata"]
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},
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"Michael Kulbacki" : {
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"status" : "BS",
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"projects" : ["mimir"]
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},
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"Jacob Varghese" : {
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"status" : "BS",
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"projects" : ["mimir"]
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},
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"Aurijoy Majumdar" : {
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"status" : "MS",
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"projects" : ["astral"]
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}
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},
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"collaborators" : [
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@ -133,6 +149,12 @@
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"position" : "Software Engineer",
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"company" : "Bloomberg",
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"year" : 2015
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},
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"Arindam Nandi" : {
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"status" : "MS",
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"projects" : ["mimir"],
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"ubit" : "arindamn",
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"link" : "http://legacy25.github.io/about.html"
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}
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}
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}
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@ -3,12 +3,12 @@
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"authors": [
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"Poonam Kumari", "Said Achmiz", "Oliver Kennedy"
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],
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"venue": "ArXiv",
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"venue": "QDB",
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"year": 2016,
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"length":4,
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"projects" : ["mimir"],
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"urls" : {
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"under submission" : "https://arxiv.org/abs/1606.02250"
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"preprint" : "https://arxiv.org/abs/1606.02250"
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}
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},
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{ "title": "The Exception That Improves The Rule",
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@ -13,11 +13,7 @@ title: ASTral
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<p>ASTral is based on an idea called <a href="http://github.com/okennedy/jitd">Just-in-time datastructures</a>, where data structure manipulation and access logic are decoupled from the physical representation. A just-in-time data structure uses a set of simple semantic and structural building blocks both to emulate the behavior of existing data structures, and to dynamically create new data structures synthesized on-the-spot to match presented workloads.</p>
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<h2>User-Facing App Benchmarks</h2>
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<p>User-facing applications regularly encounter some of the most dynamic environments possible, and are an ideal fit for just-in-time data structures and ASTral in general. Understanding these changing workloads is critical, and with that in mind we're partnering with <a href="https://phone-lab.org">PhoneLab</a> to understand how user-facing apps interact with SQL. Using to real-world data gathered from an instrumented version of SQLite, we're developing a benchmark for pocket-scale data management.</p>
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<p><i>(The ASTral project is being developed in collaboration with Luke Ziarek, and Geoff Challen)</i></p>
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<p><i>(The ASTral project is being developed in collaboration with Luke Ziarek)</i></p>
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<hr />
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