Banca de DEFESA: LAVINIA MEDEIROS MIRANDA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : LAVINIA MEDEIROS MIRANDA
DATE: 29/07/2022
TIME: 15:00
LOCAL: Virtual: meet.google.com/dkx-sqhd-pkr
TITLE:

LLVM-ACT: A profiling-based tool for selection of an approximate computing technique


KEY WORDS:

Aproximate computing, Profiling, LLVM, Code transformation


PAGES: 100
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SUMMARY:

Approximate Computing is currently an emerging paradigm that seeks to replace some data accuracy with aspects such as performance and energy efficiency. At the software level, there are tools within this scope that apply some approximate computation techniques. However, these tools are limited in covering only some specific scope, applying only one of the techniques, and/or needing manual annotations on applications. The current state of the art still has open questions, such as wether application features influentiates the technique's choice; what would be the most appropriate technique for each particular context. Thus, this dissertation proposes the implementation of a tool that, according to the application profiling, chooses the most appropriate approximate computing technique to be applied. The tool uses the LLVM compilation infrastructure, where each step is implemented in the form of an LLVM Pass of code analysis or transformation. In addition to the Profiler, it was also implemented three approximate computing techniques and the experimental results show the technique chosen by the tool presents a balance between error rate and speedup.


COMMITTEE MEMBERS:
Presidente - 1882699 - MONICA MAGALHAES PEREIRA
Interno - 1694485 - MARCIO EDUARDO KREUTZ
Externo à Instituição - IVAN SARAIVA SILVA - UFPI
Externo à Instituição - SILVIO ROBERTO FERNANDES DE ARAUJO - UFERSA
Notícia cadastrada em: 06/07/2022 10:38
SIGAA | Superintendência de Tecnologia da Informação - (84) 3342 2210 | Copyright © 2006-2024 - UFRN - sigaa02-producao.info.ufrn.br.sigaa02-producao