Alumni

Automatic generation of dynamic parallel architectures

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Description: From its inception, the design of computer processor chips was done in a static way. An engineer diagrammed a circuit which was implemented using solder and components, or later using photolithographic techniques. While this approach continues to successfully follow the transistor-doubling prediction of Moore's Law, limits of physics are being reached. Multi-core processors are now being produced as a way to extend Moore's Law, but such parallel processors are also inherently static. In this thesis, we explore the field of dynamic parallel processors. Specifically, we develop an approach for generating machine configurations for a new class of highly reconfigurable architectures that are the likely offspring of the current generation of multi-core and reconfigurable processors. We present a compiler approach for translating a source code program into a machine configuration for a specific dynamic parallel processor architecture, the Cell Matrix. The Cell Matrix architecture presents a number of challenges that our work attempts to tackle, and in doing so presents a path forward to a general technique for automatic generation of parallel architectures.
Language: English
Format: Degree Work