SimGrid
 |
| SimGrid | |
|---|---|
 SimGrid Logo | |
| Initial release | 1999[1] |
| Stable release | 4.0
/ March 12, 2025 |
| Repository | https://framagit.org/simgrid/simgrid |
| Written in | Core: C++; Bindings: Python |
| Engine | |
| Platform | Unix, Mac OS X, Microsoft Windows |
| Type | Distributed system simulator, Network simulator, Model checking |
| License | GNU Lesser General Public License version 2.1 only[2] |
| Website | simgrid |
SimGrid is a framework for simulating applications on distributed computing systems.[3] It provides high-level programming language tools for comparing, evaluating, analyzing, and prototyping algorithms across different platforms. SimGrid has been used to conduct experimental simulations in multiple domains, including cluster computing, grid computing, heuristics and peer-to-peer (P2P) computing.[1]
SimGrid is distributed as freeware under the GNU Lesser General Public License version 2.1 (LGPL-2.1-only).[4][2]
History
[edit | edit source]SimGrid started in 1999 as a joint research project between Henry Casanova and Arnaud Legrand from the University of California, San Diego and École Normale Supérieure de Lyon, respectively.[5] The original design was only used for simulating the scheduling of heuristics for heterogeneous platforms.[5]
SimGrid has received funding from national and international research agencies and has evolved through various projects, including SONGS, USS-SimGrid, and ASTR.[6]
APIs and models
[edit | edit source] | This section needs to be updated. The reason given is: MSG has been deprecated as of version 4 of SimGrid. (May 2025) |
SimGrid supports multiple programming languages, including C++ and Python, through models and APIs.
SimGrid provides tools for analyzing scheduling, resource allocation, fault tolerance, and other aspects of distributed computing through four distinct interfaces:[1]
- Simulation Directed Acyclic Graphs (SIMDAG) simulates execution of DAGs, including specified tasks, dependencies, scheduling resources, and interaction with the environment. It allows users to add tasks, specify dependencies, and interact with the environment.
- Meta Scheduling Grid (MSG) is used for solving constraint satisfaction problems.
- Grid Reality and Simulation (GRAS) simulates deployable distributed applications.
- Simulated Message Passing Interface (SMPI) simulates MPI applications.
Release history
[edit | edit source]| Version | Release date | Significant changes |
|---|---|---|
| SimGrid v1.0 | 1999 |
|
| SimGrid v2.0 | 2003 |
|
| SimGrid v3.3 | 2009 |
|
| SimGrid v4.0 | March 12, 2025[9] |
|
See also
[edit | edit source]References
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- ^ a b Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ a b Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ a b Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ a b Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
Further reading
[edit | edit source]- Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
External links
[edit | edit source]- SimGrid Home – official project homepage
- Reference publication: H. Casanova, A. Giersch, A. Legrand, M. Quinson, and F. Suter, “Versatile, Scalable, and Accurate Simulation of Distributed Applications and Platforms,” Journal of Parallel and Distributed Computing, vol. 74, no. 10, pp. 2899 – 2917, 2014.