tAdd abstract - brcon2020_adc - my presentation for brcon2020 | |
git clone git://src.adamsgaard.dk/.brcon2020_adc | |
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commit 2322b0d409327282d8c6f3689b0b5a6c2db07334 | |
parent 6e919edddee952625e776006f69d1a6591fe5b7b | |
Author: Anders Damsgaard <[email protected]> | |
Date: Sat, 25 Apr 2020 13:52:15 +0200 | |
Add abstract | |
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+Title: Energy efficient programming in science | |
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+Author: adc | |
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+Time: 15:00 | |
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+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. |