Parallel computer architectures
R A Jarvis
6 points * 39 hours of lectures and practical work * Irregular availability * Clayton
Objectives The student is expected to acquire a functional understanding of the variety of ways in which computational power can be enhanced and controlled through parallel computational architectures and to develop critical judgement concerning the weaknesses and strengths of the architectural models presented in relation to specific application support.
Synopsis Von Neumann architectured machines; stack, array processing, pipelined, multiprocessor, data flow and massively parallel architectured machines; systolic arrays, high reliability systems; concurrency, semaphores, resource management, deadlock avoidance; case studies, parallel processing languages and operating systems.
Assessment Examinations: 100%
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