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EAB meeting, Philadelphia,1 Nov 2005. CS curricula update proposed: by adding Reconfigurable Computing. Reiner Hartenstein TU Kaiserslautern. Reconfigurable Computing. Embedded Systems. Computing Curricula 2004 (1). #. Computing Curricula 2004 (2). #. 2.2.1.

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CS curricula update proposed: by adding Reconfigurable Computing


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  1. EAB meeting, Philadelphia,1 Nov 2005 CS curricula updateproposed: by addingReconfigurable Computing Reiner Hartenstein TU Kaiserslautern

  2. Reconfigurable Computing Embedded Systems Computing Curricula 2004 (1) # 2

  3. Computing Curricula 2004 (2) # 3

  4. 2.2.1. Computing Curricula 2004 (3) 4

  5. Computing Curricula 2004 (4) EE CE CS SE 5

  6. Computing Curricula 2004 (5) HARDWARE EE CE CS SE SOFTWARE 6

  7. CONFIGWARE MORPHWARE Computing Curricula 2004 (6) HARDWARE EE CE CS SE SOFTWARE 7

  8. CONFIGWARE MORPHWARE What means Morphware, Configware ? EE CE CS SE 8

  9. instruction-stream instruction-stream-based computing: only a single programming source needed algorithms variable µprocessor resources fixed Software Paradigm Shifts: Nick Tredennick‘s view (1) The Mainframe Age algorithms variable Software Engineering 9

  10. data-stream data-stream-based reconfigurable computing: 2 programming source needed algorithms variable resources variable resources variable Configware Flowware reconfigurable accelerators Paradigm Shifts: Nick Tredennick‘s view (2) Reconfigurable Computing algorithms variable Configware Engineering 10

  11. data-stream-based reconfigurable computing: instruction-stream-based computing: algorithms variable algorithms variable algorithms variable algorithms variable µprocessor accelerators resources variable resources fixed resources variable Software programmable Configware 3 sources Flowware Paradigm Shifts: Nick Tredennick‘s view (3) The Morphware Age data-stream instruction-stream 11

  12. Configware Engineering placement & routing source „program“ configware compiler mapper scheduler flowware code configware code Compilation: Software vs. Configware Software Engineering C, FORTRAN MATHLAB source program software compiler data software code 12

  13. C, FORTRAN, MATHLAB Software / Configware Co-Compiler configware compiler mapper software compiler data scheduler software code flowware code configware code Co-Compilation 13

  14. C, FORTRAN, MATHLAB Software / Configware Co-Compiler configware compiler mapper software compiler data scheduler Program Counter Data Counter(s) (structural) software code flowware code configware code Code Destinations 14

  15. C, FORTRAN, MATHLAB Software / Configware Co-Compiler configware compiler mapper software compiler Interface data scheduler Program Counter Data Counter(s) (structural) software code flowware code configware code 15

  16. C, FORTRAN, MATHLAB Software / Flowware Co-Compiler flowware compiler software compiler data scheduler Interface software code flowware code Program Counter Data Counter(s) Hardwired anti machine (for instance: systolic array) 16

  17. Appendices >> Outline<< • Pervasiveness & Strategic Dimension • Proposing an update of CS curricula • Conclusion • Details of the curricula update proposal • Illustrating the dual paradigm model 17

  18. Reconfigurable Computing (RC) and FPGA in the media June 2005 Design Starts until 2010: from 80,000 to 110,000 [Dataquest] fastest growing segment of the semiconductor market: 4 billion US-$ [Dataquest] ##### 18

  19. going into every application area 19

  20. http://hartenstein.de/pervasiveness.html one-clicksearch 20

  21. found by Google: (October 2005) intensive conference activities for a detailed list of RC-related conferences see my enclosed proposal for a new magazine 21

  22. example conference series http://www.ece.lsu.edu/vaidy/raw06/ 22

  23. even supercomputing goes FPGA* (sgi, Cray, …) FPGAs reduce power dissipation: MOPS / milliWatts by a factor of x10 Running and airconditioning: reducing the electricity bill up to millions of $ per year *) Field-Programmable Gate Array FPGAs for Reconfigurable Computing (RC) compared to µProcessors (intel, ...): speed-up by factors up to x100 and more 23

  24. Economic importance has grown exponentially. Strategic dimension has been appreciated. Exponential Growth & Strategic Dimension Reconfigurable Computing (RC) became mainstream years ago, not only in Embedded Systems Education is an essential factor to solve the current complexity crisis and creating a qualified workforce 24

  25. Morphware Age Our students are not even aware, that we all now live in the Morphware Age, not in the Mainframe Age Changing this will make CS much more fascinating 25

  26. #### 10/24/05; Vol. 24 No. 31 --- Ask the Professor: Reconfigurable Computing - By Joab Jackson -- GCN StaffThe computer science academic community has investigated the use of field-programmable gate arrays for quite some time. To get beyond the product hype, we interviewed associate professor Kris Gaj of George Mason University’s Department of Electrical and Computer Engineering, who has long been involved in reconfigurable computing. GCN: We’ve heard claims of anything from a 40- to 20,000-fold increase in performance speeds over standard commodity chips. What kind of improvement can users expect from a well-engineered program? Gaj: Our group has developed multiple applications for a few reconfigurable computers, from SRC, SGI and Cray. We have seen speed-ups compared to a single traditional microprocessor (Pentium 4) anywhere from none to over 1,000 [times]. The speed-up really depends on a particular task, and how well this task can be divided into smaller operations that can execute in parallel. [The claim of a] 20,000-times speed-up is probably an exaggeration, unless you use a lot of FPGAs, but such machines would really cost a fortune. GCN: Where is that performance improvement coming from? Gaj: A microprocessor executes instructions sequentially, one by one. A single instruction does only a small part of the job, so it takes a long time to complete the entire sequence of such instructions constituting the program. Additionally, a microprocessor cannot be reconfigured, so a lot of resources may need to be allocated for functions that will never be used by a particular program. An FPGA may execute multiple operations in parallel. Since it is reconfigurable, you do not need to waste any resources, such as circuit area, for implementing operations that are not used by a given program. The contents of an FPGA may also change on the fly, i.e., during the program execution, so you do not need to have all resources tied up at the beginning of computations. GCN: Do you predict companies like Cray and SGI can bring FPGA computing to a broader audience of users? Gaj: I would not expect an FPGA in every PC at home anytime soon. For a couple of years, the primary use of reconfigurable computers will be for scientific computations, such as weather simulations, space exploration, human genome project and simulation of nuclear reactions. These machines should be treated as an alternative for traditional supercomputers, and may eventually outperform and replace some or most of them. For bringing FPGAs to a broader audience, the prices must drop by at least an order of magnitude, and tools must be developed that make the programming of these machines much easier than it is right now. Additionally, in many cases, traditional microprocessors would be completely sufficient for [a] majority of personal and business applications. http://www.gcn.com/24_31/tech-report/37341-1.html 26

  27. Appendices >> Proposing an update of CS curricula<< • Pervasiveness & Strategic Dimension • Proposing an update of CS curricula • Conclusion • Details of the curricula update proposal • Illustrating the dual paradigm model 27

  28. Importance of embedded FPGAs almost 90% of all software is implemented for embedded systems embedded software doubles every 10 months FPGAs are inevitable for embedded systems 28

  29. Configware and CS curricula to-day, typical CS graduates are not qualified for this job market hardware / configware / software partitioning problems cannot be handled … the de facto basic model is a dual-paradigm system, however, not von-Neumann-only … the florishing configware industry is the younger brother of the software industry 29

  30. difficult RC education fragmentation into many application areas: teaching their own tricks – no common model unstructured view onto creators‘ architectures, advertized by catchy terms („we are creative“) no clear hierachical view by abstraction levels no common terminology: maybe, managers do not understand what you are talking about confusing mind set, no computing viewpoint: not seen as a common fundamental paradigm 30

  31. CS urgently needed for the therapy teach already freshmen by dual-paradigm model integrative undergraduate lab courses needed teach code refactoring & algorithmic cleverness CS is the only right point of view to fix all this 31

  32. Stop declining enrollment providing RC and embedded system qualifications to our students by common models – not tricks making CS more fascinating: innovation by RC reversing our membership development trend ? CS is the only right place to provide all this 32

  33. for course implementation technology 20 years old, invented 1984 (Xilinx) software–to-configware migration: all enabling methodologies available, some published in the 70ies or 80ies 33

  34. new workshop series http://helios.informatik.uni-kl.de/RCeducation/ deadline for submissions: November 27, 2005 34

  35. (EU) Graduate Curriculum on Embedded Software and Systems Advanced Real Time Systems Real-Time Systems (Sweden) Recommendations for Designing New ICT Curricula Chess - Center for Hybrid and Embedded Software Systems (courses in embedded systems) WESE - Workshop on Embedded Systems Education WESE other curriculum recommendations 35

  36. Reconfigurable Computing ? in these recommendations RC is not an issue so far: action needed by CS 36

  37. Appendices >> Conclusion<< • Pervasiveness & Strategic Dimension • Proposing an update of CS curricula • Conclusion • Details of the curricula update proposal • Illustrating the dual paradigm model 37

  38. Conclusions (1) We need to counter the current education trend toward specialization We need curricula to cope with the clash of cultures by merging all different backgrounds in a systematic way CS curricula for unifying the foundations We need innovative lectures and lab courses integrating reconfigurable computing into progressive CS curricula. 38

  39. Conclusions (2) CS curricula should adopt the dichotomy of software engineering and configware engineering CS undergraduate curricula must switch from von-Neuman-only to the dual paradigm model Application domain‘s point of views cannot replace the urgently needed CS-based efforts …….. Only CS is qualified to be conductor of RC-related curriculum recommendations and implementation 39

  40. thank you 40

  41. END 41

  42. -- 42