High performance compilers increasingly rely on accurate modeling of the machine resources to efficiently exploit the instruction level parallelism of an application. In this dissertation, we first propose a reduced machine description that results in significantly faster detection of resource contentions while preserving the scheduling constraints present in the original machine description. This approach reduces a machine description in an automated, error-free, and efficient fashion. Moreover, it fully supports the elaborate scheduling techniques that are used by high-performance compilers, such as scheduling an operation earlier than others that are already scheduled, unscheduling operations due to resource conflicts, and efficient handling of periodic resource requirements found in software pipelined schedules. Re..
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