The workshop intends to provide a forum for presenting experiences and new educational approaches and for discussing the pros and cons. <b>Keywords:</b> 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
Abbrevation
RCeducation
City
Karlsruhe
Country
Germany
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Abstract