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Path forward for softwarization to tackle evolving hardware
Author(s): Millad Ghane; Sunita Chandrasekaran; Robert Searles; Margaret S. Cheung; Oscar Hernandez
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Paper Abstract

Even though legacy scientific code bases have long lifetimes and not going away anytime soon, by 2030, disruptive technologies would have dramatically changed softwarization. Are we ready to tackle tomorrow’s hardware? Relying on traditional programming paradigms will no longer suffice. We need to explore software abstractions and advanced smart techniques in compiler and runtime systems to effectively exploit tomorrow’s hardware. With the advent of neuromorphic chips and quantum computers as effective accelerators to which traditional X86 systems could offload relevant computations, we need to rethink the impact of these disruptive technologies on today’s software and fundamental programming abstractions.

Paper Details

Date Published: 9 May 2018
PDF: 8 pages
Proc. SPIE 10652, Disruptive Technologies in Information Sciences, 106520O (9 May 2018); doi: 10.1117/12.2304813
Show Author Affiliations
Millad Ghane, Univ. of Houston (United States)
Sunita Chandrasekaran, Univ. of Delaware (United States)
Robert Searles, Univ. of Delaware (United States)
Margaret S. Cheung, Univ. of Houston (United States)
Rice Univ. (United States)
Oscar Hernandez, Oak Ridge National Lab. (United States)


Published in SPIE Proceedings Vol. 10652:
Disruptive Technologies in Information Sciences
Misty Blowers; Russell D. Hall; Venkateswara R. Dasari, Editor(s)

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