Additional
Information: Dataflow programming studies began in the 1970s, as the limits of von Neuman (normal) computers were found: such systems use an inherent control-driven programming model. Dataflow models are alternative to, and different from this, and are much studied an
Declarative Ada: parallel dataflow programming in a familiar context Declarative Ada: parallel dataflow programming in a familiar context: From Proceedings of the 1995 ACM 23rd annual conference on Computer science conference. (Dataflow) http://portal.acm.org/citation.cfm?doid=259526.259540
Pure Data (PD) Pure Data (PD): Real-time graphical dataflow programming environment for audio, video, and graphical processing. (Dataflow) http://puredata.org
ResearchIndex: Coarse-Grain Dataflow Programming of Conventional Parallel Computers ResearchIndex: Coarse-Grain Dataflow Programming of Conventional Parallel Computers: Granular Lucid, GLU: coarse-grain dataflow language for programming conventional parallel computers; based on Lucid (circa 1994) an implicitly parallel, multidimensional dataflow language. A GLU program is a Lucid program with imperatively defined data fu (Dataflow) http://citeseer.nj.nec.com/126706.html
Computation Structures Group: CSG Computation Structures Group: CSG: MIT research group which does dataflow programming research. (Dataflow) http://www.csg.lcs.mit.edu/
CS545S: Modular Programming CS545S: Modular Programming: College course on basic programming concepts: modular (encapsulation, abstract data types); object-oriented (class, inheritance, polymorphism, dynamic binding); concurrent (thread, synchronization); via Java compared to Oberon, Smalltalk; then dataflow mo (Dataflow) http://www.cs.wustl.edu/~tdk/courses/Cs545/
Dataflow Web Pages: DWP Dataflow Web Pages: DWP: University-based collection of dataflow resources. (Dataflow) http://www.cuc.ucc.ie/dataflow/