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Mapping and execution optimizations

Title
Mapping and execution optimizations
Type
Chapter or Part of a Book
Year
2008
Authors
P. C. Diniz
(Author)
Other
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Book
Pages: 109-154
ISBN: 978-0-387-09670-4
Electronic ISBN: 978-0-387-09671-1
Other information
Authenticus ID: P-00G-ZXP
Abstract (EN): This chapter describes important aspects related to the mapping of computations to reconfigurable architectures. The inherently spatial nature of these architectures, their heterogeneity and the invariable limitations of its physical resources, makes this mapping an extremely challenging task. Compilers and tools must judiciously balance the use of different kinds of resources in space and time, engaging in algorithmic and mapping techniques similar to the ones used in the context of low level hardware synthesis, albeit with mapping choices that can be leveraged at much higher levels of abstraction. We begin this chapter with control-flow mapping techniques enabled by the spatial nature of the target reconfigurable architectures. Next, we address spatial and temporal partitioning of computations within a single or multiple devices, respectively, followed by high-level techniques to map scalar variables and operations to hardware resources. We then describe memory mapping techniques for high-level data abstractions such as multidimensional arrays or data streams. Finally, and given their importance, we describe pipe lining execution schemes at either fine- or coarse grained levels.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 46
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