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Course Schedule

Introduction

• Parallel machine models, parallel programming models, a parallel algorithm.

Vector Programming I

• Pipelining, vector architectures, vector instructions, chaining, vector libraries, vector statements, vectorizing compilers.

Vector Programming II

• Convex 3440 architecture and programming, vectorization, strip mining, loop distribution, loop interchange, temporal and spatial parallelism.

Designing Parallel Programs

• Methodological design, partitioning, communication, agglomeration, mapping, modularity, examples.