Filed under “Don’t Try This at Home” or “Not to be Taken Lightly”, most EDA engineering teams don’t even consider building their own language front end. Most of you will know the name Verific and some probably have used their language parsers a time or two (or twenty), but many of you may not know that Verific also has a robust and comprehensive startup program. In this week’s Fish Fry, Rick Carlson and I chat about how your startup can stand out from the crowd with a little help from Verific. Rick also shares with us some Verific-assisted startup success stories and explains why the giraffe is Verific’s signature giveaway.
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Links for July 22, 2016
More information about Verific Design Automation
More information about the 2016 MEMS Executive Congress
Enter your design in The MEMS & Sensors Technology Showcase
Papa’s Got a Brand New Node: Intel Makes Waves in Process and Packaging
Automatic For The People: CacheQ’s New Compiler for Multithreaded Executables
Machine Learning and The New Age of Intelligent Chip Design
The Hidden Security Risks of Automotive Electronic Systems
Fish Fry Special Edition: Makers Today! Lorraine Underwood
Better than a Human Driver: Trusted Electronics and Functional Safety
Machine Vision Meets Hackathon: ADLINK’s 20/20 Hack Solves Real World Problems
Quantum Practicality and You: How Intel is Solving the Quantum Computing Interconnect Bottleneck
How LoRa Can Help Us Build a Smarter and Safer Planet
Fish Fry Special Edition: Makers Today! Karen Corbeill
Let's Get Speedy! Digital Signal Processing for Always-On Systems, Sensor Fusion and Computer Vision
The Digital Thread: The Advancement of Digital Backbones and the World’s First Digital Fiber Fabric
Connecting the Disconnected: Avoiding Design Pitfalls with Altium’s Nexar Network
Computations in Memory: Imec’s Analog Inference Accelerator Brings Extreme Energy Efficiency to Neural Network Acceleration
The Problem is Exponential: The Value of Pre-silicon verification and Pre-silicon Hardware Debug
The World According to Analog: Why Our Digital Futures Depend on Analog
Work Smarter Not Harder: Optimized Software Pipelines and A New Brain-Like Device Learns by Association
Addressing the Gotchas: LCR Embedded Systems and the Case for Intelligent Modularity
Research meets Realization: InnovationLab Brings Organic Printed Electronics into the Mainstream
Machine Learning Megaphone: Advancements in Voice Technology
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