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Update slides - August 2025 (#786)
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‎docs/articles.md‎

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# Articles and Presentations
22

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- [Cubed: an introduction](https://cubed-dev.github.io/cubed/cubed-intro.slides.html) by Tom White, November 2024
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- [Cubed: an introduction](https://cubed-dev.github.io/cubed/cubed-intro.slides.html) by Tom White, August 2025
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- [Optimizing Cubed](https://medium.com/pangeo/optimizing-cubed-7a0b8f65f5b7) by Tom White, April 3, 2024
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- [Cubed: Bounded-memory serverless array processing in xarray](https://xarray.dev/blog/cubed-xarray) by Tom Nicholas and Tom White, June 28th, 2023

‎docs/slides/intro/cubed-intro.ipynb‎

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"More details in [Optimizing Cubed](https://medium.com/pangeo/optimizing-cubed-7a0b8f65f5b7)\n"
456432
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435+
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438+
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"slide_type": "slide"
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}
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},
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"source": [
443+
"# Quadratic Means timeline\n",
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"\n",
445+
"![QM timeline](qm-timeline.png)"
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]
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},
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{
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"cell_type": "markdown",
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554-
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555-
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556-
"slideshow": {
557-
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558-
}
559-
},
560-
"source": [
561-
"* __Lithops__: multi-cloud serverless computing framework\n",
562-
" * Slightly more work to get started since you have to build a runtime environment first\n",
563-
" * Tested on AWS Lambda and Google Cloud Functions with ~1000 workers"
564-
]
565-
},
566-
{
567-
"cell_type": "markdown",
568-
"id": "b1fb4379",
569-
"metadata": {
570-
"slideshow": {
571-
"slide_type": "fragment"
572-
}
573-
},
574-
"source": [
575-
"* __Modal__: a commercial serverless platform\n",
576-
" * Very easy to set up since it builds the runtime automatically\n",
577-
" * Tested with ~300 workers"
578-
]
579-
},
580-
{
581-
"cell_type": "markdown",
582-
"id": "edcd5b33",
583-
"metadata": {
584-
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585-
"slide_type": "fragment"
586-
}
587-
},
588-
"source": [
589-
"* __Apache Beam (Google Cloud Dataflow)__: fully managed pipeline processing service\n",
590-
" * Slow to spin up\n",
591-
" * Only tested with ~20 workers, but very mature so will scale out"
592-
]
593-
},
594-
{
595-
"cell_type": "markdown",
596-
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598-
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544+
"id": "aac6fd84-b914-40d0-b3f5-1adc0de210fe",
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603-
"# Example timeline\n",
604-
"\n",
605-
"Adding two 20GB arrays on Lithops (AWS Lambda)\n",
606-
"\n",
607-
"![Lithops timeline](cubed-lithops-timeline.png)"
547+
"* __Local machine__\n",
548+
" * Start here to process hundreds of GB on your laptop using all available cores\n",
549+
"* __Serverless__\n",
550+
" * __Lithops__: multi-cloud serverless computing framework\n",
551+
" * Slightly more work to get started since you have to build a runtime environment first\n",
552+
" * Tested on AWS Lambda and Google Cloud Functions with ~1000 workers\n",
553+
" * __Modal__: a commercial serverless platform\n",
554+
" * Very easy to set up since it builds the runtime automatically\n",
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" * Tested with ~300 workers\n",
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" * __Coiled Functions__\n",
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"* __Cluster/HPC__\n",
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" * __Ray__\n",
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" * __Apache Beam (Google Cloud Dataflow)__\n",
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" * __Globus Compute__\n",
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" * __Apache Spark__"
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]
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},
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{
@@ -679,7 +633,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.0"
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"version": "3.12.11"
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}
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},
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"nbformat": 4,

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