Charting the path for machine learning in functional verification
A comprehensive review of ML's potential and its current use identifies challenges ahead.
ML
Virtual emulation delivers verification for the latest storage devices
Computational storage devices are posing a new raft of challenges that is being addressed using a powerful pre-silicon methodology.
Balancing PPA as machine learning moves to the edge
High-level synthesis is playing another important role in the matching of AI algorithms to necessarily application-specific designs.
Embedded World 2020 preview: Mentor
Six papers, a dedicated automotive sessions and demos including the use of the Nucleus for RISC-V are among highlights in Mentor's Embedded World agenda.
EDA with ‘AI inside’ – Mentor’s Joe Sawicki offers an insider’s view
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.
Making the case for HLS in autonomous drive
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.
Verifying in an HLS context for AI and ML designs
A SystemC/C++ app from a library that extends the OneSpin 360 DV-Verify platform was used by ML IP specialist NanoSemi on a 5G/WiFi project.
Building an ecosystem around HLS for AI and ML designs
Mentor's AI Accelerator Ecosystem adds reference designs, libraries and other forms of support around its Catapult HLS platform.
AI and ML fuel Catapult and Calibre updates
Mentor takes the wraps off new machine learning fueled features in its HLS and physical design families ahead of DAC 2019.
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