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Virtualized environments in cloud can have superlinear speedup

Published: 16 September 2012 Publication History

Abstract

CPU cache is used to speedup the execution of memory intensive algorithms. Usage of greater cache memory sizes reduces the cache misses and overall execution time. This paper addresses architectures in modern processors realized as multi chip and multi core processors with shared L3 cache and dedicated L2 and L1 cache.
The goal is to analyze the behavior of servers and to check the hypothesis if the virtual environments are usually slower than standard environments. Although majority will think that adding a new software and operating system layers just slows down the software, there is also a contra-argument based on cache size exploitation, since a multiprocessor with dedicated cache per core usually requires smaller cache size and can exploit the benefits of bigger cache memory than single processor. This might also lead to superlinear speedup greater than the number of processing elements.
The testing methodology and experiments for this research are applied also to cloud environment. The results show that cloud environment can also achieve superlinear speedup for execution of cache intensive algorithms when high performance computing is used in virtual machines allocated with more than one processing element (core).

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Published In

cover image ACM Other conferences
BCI '12: Proceedings of the Fifth Balkan Conference in Informatics
September 2012
312 pages
ISBN:9781450312400
DOI:10.1145/2371316
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • MSTD: Ministry of Education, Science and Technological Development - Serbia
  • Novi Sad: Faculty of Technical Sciences, University of Novi Sad

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2012

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Author Tags

  1. cache memory
  2. cloud computing
  3. high performance computing
  4. matrix multiplication
  5. virtualization

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  • Research-article

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BCI '12
Sponsor:
  • MSTD
  • Novi Sad
BCI '12: Balkan Conference in Informatics, 2012
September 16 - 20, 2012
Novi Sad, Serbia

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Overall Acceptance Rate 97 of 250 submissions, 39%

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  • (2014)Resource Scaling Performance for Cache Intensive Algorithms in Windows AzureIntelligent Distributed Computing VII10.1007/978-3-319-01571-2_10(77-86)Online publication date: 2014
  • (2014)Web Service Performance Analysis in Virtual EnvironmentICT Innovations 201310.1007/978-3-319-01466-1_16(167-176)Online publication date: 2014
  • (2013)Superlinear Speedup for Matrix Multiplication in GPU DevicesICT Innovations 201210.1007/978-3-642-37169-1_28(285-294)Online publication date: 2013
  • (2013)Compute and Memory Intensive Web Service Performance in the CloudICT Innovations 201210.1007/978-3-642-37169-1_21(215-224)Online publication date: 2013
  • (2012)Superlinear speedup in Windows Azure cloud2012 IEEE 1st International Conference on Cloud Networking (CLOUDNET)10.1109/CloudNet.2012.6483679(173-175)Online publication date: Nov-2012

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