群集VLIW数据路径的高质量操作绑定

V. Lapinskii, M. Jacome, G. Veciana
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引用次数: 12

摘要

聚类是一种有效的方法,可以增加VLIW数据路径中的可用并行性,而不会产生与大量注册文件端口相关的严重损失。有效地利用集群数据路径需要小心地将操作绑定到集群。本文提出了一种绑定算法,该算法有效地探索了集群内操作序列化与集群间数据传输相关延迟之间的权衡。大量的实验证据表明,该算法为基本块生成高质量的解决方案,比最先进的高级绑定算法提高了29%。
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High-quality operation binding for clustered VLIW datapaths
Clustering is an effective method to increase the available parallelism in VLIW datapaths without incurring severe penalties associated with large numbers of register file ports. Efficient utilization of a clustered datapath requires careful binding of operations to clusters. The paper proposes a binding algorithm that effectively explores tradeoffs between in-cluster operation serialization and delays associated with data transfers between clusters. Extensive experimental evidence is provided showing that the algorithm generates high quality solutions for basic blocks, with up to 29% improvement over a state-of-the-art advanced binding algorithm.
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