Simple calculator compiler using Lex and YACC

Upadhyaya, Mohit R

doi:10.1109/icectech.2011.5942077

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The NNEF parser was designed as an open source. We used LEX to support lexical analysis and YACC to automate parser generation. Moreover, we defined a token analysis rule that can recognize symbols defined in the NNEF document using LEX and YACC.…”

Section: Methodsmentioning

confidence: 99%

Interworking technology of neural network and data among deep learning frameworks

et al. 2019

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Based on the growing demand for neural network technologies, various neural network inference engines are being developed. However, each inference engine has its own neural network storage format. There is a growing demand for standardization to solve this problem. This study presents interworking techniques for ensuring the compatibility of neural networks and data among the various deep learning frameworks. The proposed technique standardizes the graphic expression grammar and learning data storage format using the Neural Network Exchange Format (NNEF) of Khronos. The proposed converter includes a lexical, syntax, and parser. This NNEF parser converts neural network information into a parsing tree and quantizes data. To validate the proposed system, we verified that MNIST is immediately executed by importing AlexNet's neural network and learned data. Therefore, this study contributes an efficient design technique for a converter that can execute a neural network and learned data in various frameworks regardless of the storage format of each framework.

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Section: Methodsmentioning

confidence: 99%

Interworking technology of neural network and data among deep learning frameworks

et al. 2019

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“…[5], [6], [7] also propose language frameworks for specific domains as networking, neurosciences, medical web repositories respectively. Mohit Upadhyaya demonstrates designing of a compiler for regular expression based language for a calculator using open source LEX and YACC parser [8]. This implementation guided us towards the thought that this parser can be used for our framework as well, as the query language being used is also based on regular expressions.…”

Section: Related Workmentioning

confidence: 98%

“…We use open source LEX and YACC parser in our framework similar to that used in [8] as it is best suited for languages which can be correctly tokenized using regular expressions.…”

Section: B Parsermentioning

confidence: 99%

Query language framework for pre-silicon debug

Inamdar¹,

Ambawade²

2015

2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT)

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In pre-silicon verification, debugging is done on large log files to analyze the causes of test failures. For this, verification engineers need to evaluate whether different flows of events have occurred during the test run, based on the values in log files. These complex flows can be evaluated more efficiently if the log information is converted to database. But, limited knowledge of SQL like query languages become a bottle neck for verification engineers to use the power of databases. We have designed a framework to assist them in defining and evaluating such event flows using a simple query language. We also compared the performance of our framework using structured and non-structured databases as back-end with the performance of existing traditional debug methodology. The performance of framework with non-structured database like elastic search was found to be considerably faster than that with relational database like MySQL over the existing system.

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