Revision as of 09:02, 16 December 2015

This tutorial covers several tools that aim at facilitating the management of experiments on Grid'5000.

Funk helps you to find resources for your experiments, by:
- giving you the number of nodes available at a date and for walltime
- finding the slots for a combination of resources and a walltime
- finding the slot with the maximum number of nodes for a period and a walltime
- managing the reservation of the resources
Execo offers a Python API for asynchronous control of local or remote, standalone or parallel, unix processes. It is especially well suited for quickly and easily scripting workflows of parallel/distributed operations on local or remote hosts: automate a scientific workflow, conduct computer science experiments, perform automated tests, etc. The core python package is execo. The execo_g5k package provides a set of tools and extensions for the Grid5000 testbed. The execo_engine package provides tools to ease the development of computer sciences experiments.
Ruby-Cute' ' → expliquer Ruby-cute en 4 lignes

All sections of this tutorial are independent and can be performed in any order.

Funk: (F)ind yo(U)r (N)odes on g5(K)

More details can be found here.

A overview tutorial can be found here.

' → détailler tutoriel Ruby-cute

@@ Line 5: / Line 5: @@
 ** finding the slot with the maximum number of nodes for a period and a walltime
 ** managing the reservation of the resources
-* '''Execo'''
+* '''Execo''' offers a Python API for asynchronous control of local or remote, standalone or parallel, unix processes. It is especially well suited for quickly and easily scripting workflows of parallel/distributed operations on local or remote hosts: automate a scientific workflow, conduct computer science experiments, perform automated tests, etc. The core python package is execo. The execo_g5k package provides a set of tools and extensions for the Grid5000 testbed. The execo_engine package provides tools to ease the development of computer sciences experiments.
-Execo offers a Python API for asynchronous control of local or remote, standalone or parallel, unix processes. It is especially well suited for quickly and easily scripting workflows of parallel/distributed operations on local or remote hosts: automate a scientific workflow, conduct computer science experiments, perform automated tests, etc. The core python package is execo. The execo_g5k package provides a set of tools and extensions for the Grid5000 testbed. The execo_engine package provides tools to ease the development of computer sciences experiments.
 * '''Ruby-Cute''' {{Act||expliquer Ruby-cute en 4 lignes}}