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Titlebook: Instruction Level Parallelism; Alex Aiken,Utpal Banerjee,Alexandru Nicolau Book 2016 Springer-Verlag US 2016 Parallelism.Instruction-level

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Software Pipelining by Kernel Recognition,nd its compaction. Intuitively, kernel recognition tries to achieve the effect of fully unrolling and then compacting the loop. In this chapter we present a number of kernel recognition methods that overcome the limitations of modulo scheduling in different ways, including methods that generate prov
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es.Offers practical descriptions of key scheduling algorithmThis book precisely formulates and simplifies the presentation of Instruction Level Parallelism (ILP) compilation techniques. It uniquely offers consistent and uniform descriptions of the code transformations involved. Due to the ubiquitous
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Overview of ILP Architectures,her divided into processors that do instruction scheduling entirely in hardware (e.g., superscalar machines) and those that expose the instruction scheduling to the compiler, particularly VLIW machines such as the Multiflow Trace, Cydra 5, and Itanium.
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Scheduling Basic Blocks, in both software and hardware implementations of instruction scheduling. This chapter introduces basic terminology used in all subsequent chapters and covers a number of different approaches to basic block scheduling.
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Percolation Scheduling, that they can be scheduled in parallel with other operations. These core transformations define the allowable motions of operations between adjacent nodes in the flow graph of a program at the operation level, where each node contains one or more operations that can be executed in parallel.
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Software Pipelining by Kernel Recognition,sent a number of kernel recognition methods that overcome the limitations of modulo scheduling in different ways, including methods that generate provably optimal schedules (in the absence of resource constraints) and handle the scheduling of tests directly, without the need for an intermediate abstraction such as hierarchical reduction.
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Modulo Scheduling,dulo scheduling technique applies only to loops where the loop body is a single basic block; we also present extensions to modulo scheduling that allow the technique to be applied to more general loops.
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Book 2016stent and uniform descriptions of the code transformations involved. Due to the ubiquitous nature of ILP in virtually every processor built today, from general purpose CPUs to application-specific and embedded processors, this book is useful to the student, the practitioner and also the researcher o
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