simgrid 3.35-1build2 source package in Ubuntu
Changelog
simgrid (3.35-1build2) noble; urgency=medium * No-change rebuild with Python 3.12 as default -- Graham Inggs <email address hidden> Fri, 19 Jan 2024 20:55:25 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Martin Quinson
- Architectures:
- any
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
simgrid_3.35.orig.tar.xz | 11.5 MiB | 34f0e394861d4ee4edd1b937bd159797f13e9c5a7a9f35159879caf0ad84055d |
simgrid_3.35-1build2.debian.tar.xz | 15.1 KiB | c243fb95b490356f334b876c98b894510bfe8e57a66242394d38c4a49f75a8c3 |
simgrid_3.35-1build2.dsc | 2.2 KiB | 63ca45c14761add0aa85de520fd20e7e2ca6629a75f7efb5ed89ebe33f4f36f4 |
Available diffs
- diff from 3.35-1build1 to 3.35-1build2 (306 bytes)
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.