2015
DOI: 10.1109/tvlsi.2014.2349652
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A Hybrid Reconfigurable Architecture and Design Methods Aiming at Control-Intensive Kernels

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Cited by 9 publications
(5 citation statements)
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“…Ref. [42] proposed three architectural design techniques to optimize the performance of control flows for CGRAs, including parallel condition, configuration branch and compound configuration. The parallel condition technology increases the instructionlevel parallelism of conditional branches by designing hardware interconnection for control signals.…”
Section: Control Flow Parallelizationmentioning
confidence: 99%
“…Ref. [42] proposed three architectural design techniques to optimize the performance of control flows for CGRAs, including parallel condition, configuration branch and compound configuration. The parallel condition technology increases the instructionlevel parallelism of conditional branches by designing hardware interconnection for control signals.…”
Section: Control Flow Parallelizationmentioning
confidence: 99%
“…A polyhedral model that is based mapping technology can also be adopted for performance optimization. Taking into account parameters such as dynamic reconfiguration, array calculation and cache access, and using a joint optimization method of affine transformation and loop tiling to establish a performance model and a power consumption model, the execution time of a task can be reduced by about 20% [50] .…”
Section: Cooperation Of Temporal and Spatial Mappingmentioning
confidence: 99%
“…Parallel condition [6] is an advanced predicated execution which parallelizes condition and computation without reconciliation operations. Control dependence is executed fastest but control divergence is still inefficient for unbalanced branches.…”
Section: Condition-based Full Predication State-based Full Predicatiomentioning
confidence: 99%
“…In order to test the advantage of the proposed approach in handling control flow, a group of control-intensive kernels are selected as benchmark is the same with [6]. Some of the kernels are selected on the basis of an application category called Berkeley Dwarfs [9].…”
Section: Setupmentioning
confidence: 99%
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