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Paper Title: ErrorEval: an Open-Source Worst-Case-Error Evaluation Framework for Approximate Computing
Short Description: The open-source toolchain that proposes a methodology called ErrorEval which relies on SMT (Satisfiability Modulo Theories) solvers.
Authors: Morteza Rezaalipour, Università della Svizzera italiana (USI), Lugano, Switzerland Lorenzo Ferretti, Micron Technology, San Jose, USA Ilaria Scarabottolo, Università della Svizzera italiana (USI), Lugano, Switzerland George A. Constantinides, Imperial College London, London, UK and Laura Pozzi, Università della Svizzera italiana (USI), Lugano, Switzerland
Event name: (Computing Frontiers - Workshop on Open-Source Hardware) CF23-OSHW 23, May 9-11, 2023, Bologna, Italy DOI: https://doi.org/10.1145/3587135.3591438
Home-page: UNKNOWN Author: Morteza Rezaalipour (MorellRAP) Author-email: <rezaalipour.usi@gmail.com> License: UNKNOWN Description: UNKNOWN Keywords: python,verilog,circuits,synthesis Platform: UNKNOWN Classifier: Development Status :: 1 - Planning Classifier: Intended Audience :: Developers Classifier: Programming Language :: Python :: 3 Classifier: Operating System :: Unix Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Microsoft :: Windows
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