Differences

This shows you the differences between two versions of the page.

--- tools:autosubmit [2020/07/02 15:36]
mcastril [Repository]
+++ tools:autosubmit [2020/08/18 16:04]
mcastril
@@ Line 27: / Line 27: @@
 [[http://ieeexplore.ieee.org/document/7568429/|IEEE]] {{:publications:dmanubens_hpcs_2016.pdf|pdf}} D. Manubens-Gil, J. Vegas-Regidor, C. Prodhomme, O. Mula-Valls and F. J.  Doblas-Reyes, "Seamless management of ensemble climate prediction  experiments on HPC platforms," 2016 International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, 2016, pp. 895-900.
 doi: 10.1109/HPCSim.2016.7568429
-==== Description ====
-=== General Description ===
-== Introduction ==
-A typical climate forecast experiment is a run of a climate model over a supercomputer having variable range of forecast length from a few months to a few years. And an experiment may have one or more than one start-dates and every start-date may comprise of single or many members. The full length of forecasting period for the experiment could be divided into number of chunks of fixed forecast length by exploiting the available options of model restart. Furthermore, in the context of computing operations, every chunk could have two big sections; parallel section where the actually model run would be performed by using computing cores of supercomputer and serial section(s) for performing other necessary operations like post-processing of the model output, archiving the model output and cleaning the disk space for the smooth proceeding of the experiment.
-{{file:experiment_new.png}}
-As we could see in the sample experiment which consists of 10 start-dates from 1960 to 2005 where every start-date is independent of each other and starting after every 5 years while each start-date comprise of 5 members. Every member is also independent and has been divided into 10 chunks which are dependent on each other. Now let us suppose that the forecast length for each chunk is one year and every chunk comprises of three types of jobs; a simulation (Sim), a post-processing (Post) and an archiving and cleaning job (Clean). Therefore with this typical exemplary experiment, one start-date with one member comprise of 30 jobs and eventually 1500 jobs will be run in total for the completion of the experiment. In short, there is a need of a system to automate such type of typical experiments and optimize the use of resources.
-== Goal ==
-Autosubmit is a tool to manage and monitor climate forecasting experiments by using supercomputers remotely and achieve the following goals:
-  *  Efficient handling of highly dependent jobs
-  *  Optimum utilization of available computing resources
-  *  Ease of starting, stopping and live monitoring of experiments
-  *  Auto restarting the experiment or some part of experiment in case of failure
-  *  Use of database for experiment creation and assigning automatic experiment identity
-  *  Ability to reproduce the completed experiments fully or partially.
-{{file:autosubmit24.png}}
 === Technical Description ===

User Tools

Site Tools

Differences

Page Tools