BIGSIM is a computer simulation and performance modeling system for parallel computing, typically used for very large computer clusters.''Petascale Computing: Algorithms and Applications'' by David A. Bader 2007 pages 435-435''Languages and Compilers for Parallel Computing'' edited by Keith Cooper, John Mellor-Crummey and Vivek Sarkar 2011 pages 202-203 BIGSIM was developed at the

University of Illinois The University of Illinois Urbana-Champaign (U of I, Illinois, University of Illinois, or UIUC) is a public land-grant research university in Illinois in the twin cities of Champaign and Urbana. It is the flagship institution of the Univer ...

.''Advances in Computer Science, Environment, Ecoinformatics, and Education'' edited by Song Lin and Xiong Huang 2011 page 16 When a large scale, often supercomputer level, parallel system is being developed, it is essential to be able to experiment with multiple configurations and simulate performance. BIGSIM provides these facilities by allowing the simulation of performance on various node topologies, message passing and scheduling strategies. BIGSIM includes an emulator and a

trace-based simulator In computer science, trace-based simulation refers to system simulation performed by looking at traces of program execution or system component access with the purpose of performance prediction.''Software Technologies for Embedded and Ubiquitous S ...

. The emulator executes applications on a small number of nodes and stores the results, so the simulator can use them and simulate activities on a much larger number of nodes. The simulator is a discrete event simulator (based on the POSE system) which is trace driven and uses POSE's Charm++ base. BIGSIM can simulate both the processing components and the message passing system to provide an overall view of system performance characteristics. The emulator stores information of sequential execution blocks (SEBs) for multiple processors in log files, with each SEB recording the messages sent, their sources and destinations, dependencies, timings, etc. The simulator reads the log files and simulates them, and may star additional messages which are then also stored as SEBs. The simulator can thus provide a view of the performance of very large applications, based on the execution traces provided by the emulator on a much smaller number of nodes, before the entire machine is available, or configured.

References

{{Reflist Parallel computing

See also

References