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	tAdd abstract to brcon2020 post - adamsgaard.dk - my academic webpage
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	commit 31178f9f60bb33ba83999c532047ef4cc4ef754e
	parent 7e752e7ec175e07d9ee806f65c750773bab7e22f
	Author: Anders Damsgaard <[email protected]>
	Date: Tue, 2 Jun 2020 11:42:43 +0200

	Add abstract to brcon2020 post

	Diffstat:
	M pages/005-energy-efficient-program… \| 17 ++++++++++++++++-
	M pages/005-energy-efficient-program… \| 17 ++++++++++++++++-

	2 files changed, 32 insertions(+), 2 deletions(-)
	---
	diff --git a/pages/005-energy-efficient-programming.html b/pages/005-energy-eff…
	t@@ -22,7 +22,22 @@ href="gopher://bitreich.org/1/scm/sacc">sacc(1)</a>.</p>
	my thougts on scientific software development during the <a
	href="gopher://bitreich.org/1/con/2020">2020 brcon</a>, and how
	consistent use of low-level programming languages can benefit
	-scientific model development and energy efficiency.</a></p>
	+scientific model development and energy efficiency. Full abstract:</a></p>
	+
	+<blockquote>Numerical models are used extensively for simulating
	+complex physical systems including fluid flows, astronomical events,
	+weather, and climate. Many researchers struggle to bring their
	+model developments from single-computer, interpreted languages to
	+parallel high-performance computing (HPC) systems. There are
	+initiatives to make interpreted languages such as MATLAB, Python,
	+and Julia feasible for HPC programming. In this talk I argue that
	+the computational overhead is far costlier than any potential
	+development time saved. Instead, doing model development in C and
	+unix tools from the start minimizes porting headaches between
	+platforms, reduces energy use on all systems, and ensures reproducibility
	+of results.</blockquote>
	+
	+<p>You can check out the slides and audio here:</p>

	<ul>
	<li><a href="https://adamsgaard.dk/pub/energy-efficient-programming.md">slides…
	diff --git a/pages/005-energy-efficient-programming.txt b/pages/005-energy-effi…
	t@@ -16,7 +16,22 @@ choice is [6]sacc(1).
	I presented my thougts on scientific software development during
	the [7]2020 brcon, and how consistent use of low-level programming
	languages can benefit scientific model development and energy
	-efficiency.
	+efficiency. Full abstract:
	+
	+ Numerical models are used extensively for simulating complex
	+ physical systems including fluid flows, astronomical events,
	+ weather, and climate. Many researchers struggle to bring their
	+ model developments from single-computer, interpreted languages to
	+ parallel high-performance computing (HPC) systems. There are
	+ initiatives to make interpreted languages such as MATLAB, Python,
	+ and Julia feasible for HPC programming. In this talk I argue that
	+ the computational overhead is far costlier than any potential
	+ development time saved. Instead, doing model development in C and
	+ unix tools from the start minimizes porting headaches between
	+ platforms, reduces energy use on all systems, and ensures
	+ reproducibility of results.
	+
	+You can check out the slides and audio here:

	- [8]slides (markdown)
	- [9]audio (ogg)