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Title: Empowering a helper cluster through data-width aware instruction selection policies
Authors: Ünsal, O. S.
Ergin, Oğuz
vera, X.
González, A.
Issue Date: 2006
Publisher: IEEE Computer Society
Source: 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006, 25 April 2006 through 29 April 2006, , 114989
Abstract: Narrow values that can be represented by less number of bits than the full machine width occur very frequently in programs. On the other hand, clustering mechanisms enable cost- and performance-effective scaling of processor back-end features. Those attributes can be combined synergistically to design special clusters operating on narrow values (a.k.a. Helper Cluster), potentially providing performance benefits. We complement a 32-bit monolithic processor with a low-complexity 8-bit Helper Cluster. Then, in our main focus, we propose various ideas to select suitable instructions to execute in the data-width based clusters. We add data-width information as another instruction steering decision metric and introduce new data-width based selection algorithms which also consider dependency, inter-cluster communication and load imbalance. Utilizing those techniques, the performance of a wide range of workloads are substantially increased; Helper Cluster achieves an average speedup of 11% for a wide range of 412 apps. When focusing on integer applications, the speedup can be as high as 22% on average. © 2006 IEEE.
ISBN: 1424400546; 9781424400546
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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