simgrid 3.35-1build1 source package in Ubuntu

Changelog

simgrid (3.35-1build1) noble; urgency=medium

  * No-change rebuild for boost defaults change.

 -- Matthias Klose <email address hidden>  Tue, 19 Dec 2023 15:56:08 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Noble
Original maintainer:
Martin Quinson
Architectures:
any
Section:
science
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
simgrid_3.35.orig.tar.xz 11.5 MiB 34f0e394861d4ee4edd1b937bd159797f13e9c5a7a9f35159879caf0ad84055d
simgrid_3.35-1build1.debian.tar.xz 15.1 KiB 846d6badeee5042e730da63ad45b81e283001ba9e5e4879977fc1b268cc722d3
simgrid_3.35-1build1.dsc 2.2 KiB 6387b491d76170c72ccfb95292e9ddbd0239ff395e9e451dab15ffa2149f80f4

Available diffs

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Binary packages built by this source

libsimgrid-dev: Development files for the SimGrid Toolkit

 SimGrid is a toolkit that provides core functionalities for the simulation of
 distributed applications in heterogeneous distributed environments. SimGrid
 can be used as a Grid simulator, a P2P simulator, a Cloud simulator, a MPI
 simulator, or a mix of all of them. The typical use-cases of SimGrid include
 heuristic evaluation, application prototyping, and real application
 development and tuning.
 .
 This package contains the development files that you need to build
 your own simulator on top of SimGrid (header files and scripts),
 for C, C++ or Fortran.

libsimgrid-dev-dbgsym: debug symbols for libsimgrid-dev
libsimgrid3.35: No summary available for libsimgrid3.35 in ubuntu noble.

No description available for libsimgrid3.35 in ubuntu noble.

libsimgrid3.35-dbgsym: No summary available for libsimgrid3.35-dbgsym in ubuntu noble.

No description available for libsimgrid3.35-dbgsym in ubuntu noble.

python3-simgrid: Python3 bindings for the SimGrid Toolkit

 SimGrid is a toolkit that provides core functionalities for the simulation of
 distributed applications in heterogeneous distributed environments. SimGrid
 can be used as a Grid simulator, a P2P simulator, a Cloud simulator, a MPI
 simulator, or a mix of all of them. The typical use-cases of SimGrid include
 heuristic evaluation, application prototyping, and real application
 development and tuning.
 .
 This package contains what you need to use SimGrid from the Python
 programming language.