Link: https://mediatum.ub.tum.de/?id=601795 (It took digging to find this from the Wikipedia article [1] and the unsecured HTTP homepage for "BMDFM".)
```bibtex
@phdthesis{dissertation,
author = {Pochayevets, Oleksandr},
title = {BMDFM: A Hybrid Dataflow Runtime Parallelization Environment for Shared Memory Multiprocessors},
year = {2006},
school = {Technische Universität München},
pages = {170},
language = {en},
abstract = {To complement existing compiler-optimization methods we propose a programming model and a runtime system called BMDFM (Binary Modular DataFlow Machine), a novel hybrid parallel environment for SMP (Shared Memory Symmetric Multiprocessors), that creates a data-dependence graph and exploits parallelism of user application programs at run time. This thesis describes the design and provides a detailed analysis of BMDFM, which uses a dataflow runtime engine instead of a plain fork-join runtime library, thus providing transparent dataflow semantics on the top virtual machine level. Our hybrid approach eliminates disadvantages of the parallelization at compile-time, the directive based paradigm and the dataflow computational model. BMDFM is portable and is already implemented on a set of available SMP platforms. The transparent dataflow paradigm does not require parallelization and synchronization directives. The BMDFM runtime system shields the end-users from these details.},
keywords = {Parallel computing;Shared memory multiprocessors;Dataflow;Automatic Parallelization},
note = {},
url = {https://mediatum.ub.tum.de/601795},
}
```
[1]: https://en.wikipedia.org/wiki/Binary_Modular_Dataflow_Machine
#SMP #Parallelization #Multithreading #DependenceGraph #RunTime #DataFlow #VirtualMachine #VM #ParallelComputing #SharedMemoryMultiprocessors #AutomaticParallelization #CrossPlatform #Virtualization #Configware #Transputer
