- Overview of common hardware and theoretical models, including algorithm characteristics and impediments to fast performance
- Analysis of data dependencies and inherent parallelism through program examples, building from simple to complex
- Graphic and explanatory coverage of program transformations
- Easy-to-follow presentation of parallel processor structures and interconnection networks, including parallelizing and restructuring compilers
- Parallel synchronization methods and types of parallel operating systems
- Detailed descriptions of hypercube systems
- Specialized chapters on dataflow and on AI architectures
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