NDLI: Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

Content Provider	IEEE Xplore Digital Library
Author	Hall, M.W. Gil, Y. Lucas, R.F.
Copyright Year	1963
Abstract	This paper describes several challenges facing programmers of future edge computing systems, the diverse many-core devices that will soon exemplify commodity mainstream systems. To call attention to programming challenges ahead, this paper focuses on the most complex of such architectures: integrated, power-conserving systems, inherently parallel and heterogeneous, with distributed address spaces. When programming such complex systems, new concerns arise: computation partitioning across functional units, data movement and synchronization, managing a diversity of programming models for different devices, and reusing existing legacy and library software. We observe that many of these challenges are also faced in programming applications for large-scale heterogeneous distributed computing environments, and current solutions as well as future research directions in distributed computing can be adapted to commodity computing environments. Optimization decisions are inherently complex due to large search spaces of possible solutions and the difficulty of predicting performance on increasingly complex architectures. Cognitive techniques are well suited for managing systems of such complexity, citing recent trends of using cognitive techniques for code mapping and optimization support. Combining these, we describe a fundamentally new programming paradigm for complex heterogeneous systems, where programmers design self-configuring applications and the system automates optimization decisions and manages the allocation of heterogeneous resources.
Sponsorship	IEEE Publication
Starting Page	849
Ending Page	862
Page Count	14
File Size	1098386
File Format	PDF
ISSN	00189219
Volume Number	96
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed computing Programming profession Computer architecture Functional programming Resource management Parallel programming Power system management Diversity reception Power system modeling Software libraries self-configuring applications Computer architectures distributed computing learning systems multicore architectures optimizing compilers
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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