High-Performance Computing using Apache Ignite Hadoop Accelerator
Chaya Shivalingegowda1, Srinivas Chevula2, V. Y. Jaya Sree3

1Chaya Shivalingegowda, Assistant Professor, Department of ECE, Kalsekar Engineering College, New Panvel, Mumbai (Maharashtra), India.

2Srinivas Chevula, Department of Electromics and Telecommunication Engineering, AIKTC, Mumbai (Maharashtra), India.

3Prof. P V Y Jayasree, Department of EECE, GIT, GITAM, Visakhapatnam (A.P), India.

Manuscript received on 22 November 2019 | Revised Manuscript received on 10 December 2019 | Manuscript Published on 30 December 2019 | PP: 48-52 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10121292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1012.1292S319

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Recently, IT has popularized the term high performance computing. In STEM High Performance Computing is used not only to model complicated calculations, but also to improve the applications, reduce costs and reduce development times, in order to solve large problems, in a much higher level of performance than a normal computer. In simple terms, the memory computing primarily relies on keeping data in the RAM as storage implies at high speeds. The HPC allows big data to be processed as quickly as possible.

Keywords: Big Data, High Performance, Apache Ignite, RAM.
Scope of the Article: High Performance Computing