The Configware Page

last update June 2001, May 2012

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	The world-wide largest and oldest conference on Reconfigurable Computing:
	FPL - the Annual Symposium on Field-Programmable Logic and Applications
	The Success of the Software Industry is RAM-based. RAM-based, also the Configware Industry will succeed .

Morphware ("soft" Hardware) Reconfigurable "hardware" is not really hard like classical hardware. It can be re-configured by structural code (configuration code) to be downloaded into the "hidden" RAM of such Morphware. Such structural code is fundamentally different from (classical) Software.  Programming such reconfigurable platforms needs Configware instead. We may distinguish FPGAs (fine-grained morphware) from reconfigurable Data Path Arrays (rDPAs: coarse-grained morphware): configured pipe networks. Configware versus Software Configware versus Software means Procedural Programming versus Structural Programming (see fig. 1). Procedural programming of classical processor hardware by Software means instruction-stream-based Programming in Time. I. e. the software code generated by a software compiler from a procedural program is an instruction execution schedule. Structural programming by Configware, however, means data-stream-based Programming in Time and Space . A configware compiler consitst of two layers generating two different kinds of code (fig. 1): a mapper (doing placement and routing) generating configware code from the configware source "program", and, a scheduler generating flowware code which is a data schedule. The configware code is applied before run time for configuring the FPGA or other reconfigurable platform.  During run time there is no instruction fetch. The flowware code is a data schedule to organize data-streams running though the reconfigured platform. NOTE: For flowware the term "data stream" is used as defined by systolic arrays - defining, at which time which data item has to enter or exit which port of the rDPA. This data stream features data-transport-triggered execution (in contrast to instruction-stream-driven execution).  For terminology also see here. Fig. 3: Software Compilationg vs. Configware Compilation. Morphware Benefit Computing in space allows massive parallelism, so that Morphware may be by orders of magnitude more powerful than computing on classical processors, i. e. by computing in time. Compared to specialized hardwired ASIC hardware, morphware usage is highly flexible by reconfigurability. This also means a fundamental change of the business model: special ASIC hardware functionality is determined at vendor's site, whereas Morphware functionality can be defined and even upgraded later at the customer's site. This provides shorter time to market, as well as product longevity. Configware Industry Success Story Currently a Configware Industry is emerging as a counterpart to Software Industry. (Because this new Industry is spinning off EDA industry, some people say "soft IP cores" instead of Configware). The application of both is RAM-based: that of Software and of Configware. Being RAM-based, Configware is heading toward a success story being similar as known from Software Industry. References [1]  Burton Smith (keynote): Reinventing Computing; LACSI Symposium 2006, Santa Fe, NM, USA, http://www.cct.lsu.edu/~estrabd/LACSI2006/Smith.pdf [2] R. Hartenstein: The Grand Challenge To Reinvent Computing - A new World Model of Computing; CSBC_2010 - XXX Congresso da Sociedade Brasileira de Computação, July 20 - 23, 2010, Belo Horizonte, MG, Brasil  http://www.inf.pucminas.br/sbc2010/anais/pdf/semish/st03_02.pdf [3]  R. Hartenstein, A. G. Hirschbiel, M. Weber: MOM-map-oriented machine-a partly custom-designed architecture compared to standard hardware; Proc. IEEE CompEuro, Hamburg, Germany, May 1989 [4] R. Hartenstein (keynote): Reconfigurable Computing: boosting Software Education for the Multicore Era; IV Southern Programmable Logic Conference (SPL 2010), Porto Galinhas Beach, Pernambuco, Brasil, 24-26 March 2010 [5] Joao Cardoso, Michael Huebner (Editors): ―Reconfigurable Computing‖ Springer Verlag 2010 [6] Voros, Nikolaos; Rosti, Alberto; Hübner, Michael (Eds.): "Dynamic System Reconfiguration in Heterogeneous Platforms - The MORPHEUS Approach"; Springer Verlag, 2009 [7] Ch. Bobda: Introduction to Reconfigurable Computing - Architectures, Algorithms, Applications; Springer, 2007  ISBN 978-1-4020-6088-5 [8] R. Hartenstein: The von Neumann Syndrome; Stamatis Vassiliadis Memorial Symp., Sep 2007,  Delft, NL [9] M. Duhl: Incremental Development and Description of a Shuffle Sort Array Circuit in hyperKARL from the Algorithm Representation of the Bubble Sort Algorithm; Projektarbeit, Informatik, Univ. Kaiserslautern 1988 [10] Nick Tredennick: The Case for Reconfigurable Computing. In: Microprocessor Report. 10, Nr. 10, 5. August 1996, S. 25–27.