The third part of this series takes the original CNN demonstrator through a full ISO 26262 type functional safety workflow
An object classification demonstrator shows how high-level synthesis (HLS) can speed the delivery and exploration of automotive design.
Mentor has a host of tools - some public, some not - that leverage AI and ML. EVP Joe Sawicki has been describing the strategy behind their development.
The automotive market faces challenges that make it a prime candidate for the greater use of high-level synthesis on designs with AI and ML content.
Konica Minolta describes how it has constructed a C++ signoff flow that mitigates code ambiguity, manual analysis and other inefficiencies.
Mentor's AI Accelerator Ecosystem adds reference designs, libraries and other forms of support around its Catapult HLS platform.
Mentor takes the wraps off new machine learning fueled features in its HLS and physical design families ahead of DAC 2019.
Mentor's technical conference will take place on May 2 at the Santa Clara Marriott and feature more than 45 user and vendor presentations.
Menta eFPGA IP is highly configurable making it well suited to the evolving designs that exploit HLS abstraction.
Tools that checks pre-synthesis C++ and SystemC code have historically had no understanding of hardware intent. The Catapult Design Checker fills that gap.
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