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The 1st International Workshop on Reconfigurable Computing Education

RC education 2006

Contributions are sought in the following areas:

Courses including FPGA / Reconfigurable Computing* application to areas such as:

physics and astrophysics
computational chemistry
computational biology
molecular biology
DNA processing
medical applications
biomedical engineering
areospace
defense
automotive
industrial electronics
consumer electronics
mobile devices
computer systems
embedded systems
signal processing

real-time systems
telecommunication
networking
fault-tolerant systems
image processing
multimedia systems
computer graphics
the n-body problem
cryptography
SAT solvers
term rewriting systems
artificial neuronal networks
embedded soft processors
supercomputing systems
Supercomputing application areas
and many other application areas

Teaching Reconfigurable Computing (RC*) for bridging inter-cultural barriers:

courses to solve industrial needs regarding RC-based* education
teaching RC for system-on-chip, mixed-signal, IP-based design,
teaching hardware-to-configware migration & software-to-configware migration
early common model introduction based on dichotomy of machine paradigms
contrasting software performance vs. configware interconnect requirements
teaching algorithmical cleverness needed for ILP-to-FPGA migration
contrasting imperative versus transport-triggered high-level languages
contrasting data-stream-based* vs. instruction-stream-based models & languages
contrasting configware languages / compilers vs. software languages / compilers
contrasting software operating system (OS) versus configware OS principles
contrasting diverse domain-specific taxonomies of algorithms
courses integrating a range of topics spread across many different areas
RC integrated in CS, CE or EE graduate and undergraduate education
educational infrastructure: design and IP libraries, CAD tool access,
new approaches to introductory and to advanced courses
textbook selection, interdisciplinary textbook development
RC-based university programs by industry
RC-based and unifying lab courses
survey papers

Designing RC-based new courses and new curricula:

new curricula, new curriculum recommendations, consortium activities
national differences in curricula and interdepartmental issues (CS/ECE)
courses unifying the discipline across different application domains
RC-based embedded systems curricular design and implementation
courses for teaching hardware/sonfigware/software co-design
definition of RC-based computer science and engineering curricula

Developing the foundations as a major departure from the current, separated structure of CS, of CE, and of EE:

solving communication problems betw. people from different cultures
observations of the education landscape in embedded system domain
courses bridging a large variety of cultures and practices.
the role of CS by providing a unifying view on various computing models
curricula as larger bodies of knowledge, rather than courses and modules

*) NOTE: here the term "data-stream" is used as defined for systolic arrays or other pipe networks: featuring data-transport-triggered execution in contrast to instruction- stream-driven execution. "RC" stands for "Reconfigurable Computing" and for using FPGAs.