Artificial Intelligence is rapidly integrating into every aspect of technology. While the neural processing unit (NPU) often receives the majority of the spotlight as the ultimate AI problem solver, it is essential to recognize that not all AI workloads can be efficiently executed on an NPU and that neural network architectures are evolving rapidly. To create efficient chips and systems with market longevity, designers must plan for diverse AI workloads that include networks yet to be invented. In this presentation, we will introduce a new processor from Cadence Tensilica. This new solution is designed to complement any NPU, creating the perfect synergy between the two processing engines and establishing a robust AI subsystem able to efficiently support workloads yet to be encountered. This combination allows developers to achieve efficiency and performance on the AI workloads of today and tomorrow, paving the way for future innovations in AI-powered devices.
Solving Tomorrow’s AI problems Today with Cadence’s Newest Processor
Session Speakers
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Amol Borkar
Product Marketing Director, Cadence
Amol Borkar is Product Marketing Director at Cadence. Since joining in 2018 as a Senior Product Manager, he has led the development of many successful hardware and software products, including Tensilica’s latest Vision P1 DSP, targeted for ultra-low-power, always-on usages. Within Tensilica, he has been responsible for product management, marketing, partnerships and ecosystem growth for the Vision, ConnX and MathX families of DSPs. Previously, Amol was a part of Intel’s RealSense Group, where he held various positions in engineering, product management and marketing and was responsible for the success of a number of RealSense’s 3D cameras. Before joining Intel, he developed computer vision-based advanced driver-assistance algorithms for self-driving vehicles as part of his PhD thesis—work that resulted in numerous conference and journal publications and for which he received the Outstanding Researcher Award in 2011 from Georgia Tech’s Center for Signal and Image Processing.
