NDLI: Unrolling and retiming of stream applications onto embedded multicore processors

Content Provider	IEEE Xplore Digital Library
Author	Weijia Che Chatha, K.S.
Copyright Year	2012
Description	Author affiliation: Faculty of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287 (Weijia Che; Chatha, K.S.)
Abstract	In recent years, we have observed the prevalence of stream applications in many embedded domains. Stream applications distinguish themselves from traditional sequential programming languages through well defined independent actors, explicit data communication, and stable code/data access patterns. In order to achieve high performance and low power, scratch pad memory (SPM) has been introduced in today's embedded multicore processors. Programing on SPM based architecture is both challenging and time consuming. In this paper we address the problem of automatic compilation of stream applications onto SPM based embedded multicore processors through unrolling and retiming. In our technique, code overlay and data overlay are implemented to overcome the limited SPM capacity. Smart double buffering and code prefetching are introduced to amortize memory access delays. We evaluated the efficiency of our technique through compiling several stream applications onto the IBM Cell processor and compared their performance with existing approaches.
Starting Page	1268
Ending Page	1273
File Size	1825197
Page Count	6
File Format	PDF
ISBN	9781450311991
ISSN	0738100X
e-ISBN	9781450311991
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Program processors Delay Multicore processing Pipelines Schedules Processor scheduling overlay Stream multicore SPM unrolling retiming
Content Type	Text
Resource Type	Article

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