Magenta

Abstract

Adopting an ESL based design and validation methodology, we introduce a top-down approach for efficient debugging of microarchitectural specification and RTL implementation. Our solution is based on the formalism introduced by statistical transactional analysis that we call MAGENTA -Modeling AGENT for Transactional Analysis. To the best of our knowledge, MAGENTA based root-cause analysis pioneers in the efficient characterization of the micro-architectural design misbehavior via abstraction of validation output by transactions and microarchitectural events.

Towards Artificial Intelligence: Concepts, Applications, and Innovations

“…He achieved a world first by becoming the first virtual composer to be recognized by a professional musical association. With the efforts of Smaill A, they used AI to produce computer-generated music for different purposes [106]. Also, initiatives such as Google Magenta, led by the Google Brain team, want to know if AI can be able to create an irresistible art [107].…”