Nextgen: Compiler Optimization
Sharmila Agnal A1, Sameer Singh2, Nair Suraj3, Abhishek Karki4, Gajendra Singh5
1SharmilaAgnal A, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2SameerSingh, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Nair Suraj, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Abhishek Karki, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
5Gajendra Singh, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1861-1864| Volume-8 Issue-6, April 2019 | Retrieval Number: F3548048619/19©BEIESP
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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: In the last 10 years, expert system,-based compilation has changed from an ambiguous nature to a most used activity. In this case study, it is elaborated about the affiliation between expert system, and heuristic based optimization and introduce the learning models, training, and deployment. It is also displaying results with the different approaches like rewriter and encoder to print the final tokens as an example of optimization. Given case study gives an introduction about the normalization techniques used in this. Also in in this project we have elaborated about the data layout optimization which is done by using a profiler tool.
Keyword: Expert System, Rewriter, Accomplishments
Scope of the Article: Cross-Layer Optimization