Difference between revisions of "ICPP 2017"

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'''Algorithms''', including combinatorial and numerical; scheduling; power- aware/energy-efficient; machine learning; modeling & analysis; scalability<br>
 
'''Algorithms''', including combinatorial and numerical; scheduling; power- aware/energy-efficient; machine learning; modeling & analysis; scalability<br>
 
'''Applications''', including big data; data analytics; computational science & engineering (e.g., aerospace, arts; biology, finance, geology); scalability<br>
 
'''Applications''', including big data; data analytics; computational science & engineering (e.g., aerospace, arts; biology, finance, geology); scalability<br>
'''Software''', including systems software; middleware; programming models, languages, and environments; compilers; operating systems; run-time systems; resource management; performance modeling and evaluation<br>
+
'''Software''', including systems software; middleware; programming models, languages, and environments; compilers; operating systems; run-time systems; resource management; performance modeling and evaluation<br>

Revision as of 11:53, 23 July 2019

ICPP 2017
Event in series ICPP
Dates 2017/05/03 (iCal) - 2017/06/03
Homepage: www.waset.org/conference/2017/03/rome/ICPP
Location
Location: Rome, Italy
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Table of Contents

Contents


The 46th International Conference on Parallel Processing (ICPP-2017) will be held in Bristol, UK during August 14-17, 2017.


Topics

Architecture, including processor; memory; I/O; network; instruction-, thread- and data-level parallelism; accelerators & other special-purpose hardware; power-aware/energy-efficient; performance
Algorithms, including combinatorial and numerical; scheduling; power- aware/energy-efficient; machine learning; modeling & analysis; scalability
Applications, including big data; data analytics; computational science & engineering (e.g., aerospace, arts; biology, finance, geology); scalability
Software, including systems software; middleware; programming models, languages, and environments; compilers; operating systems; run-time systems; resource management; performance modeling and evaluation