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EDA and Semiconductor — Is There Growth In The Ecosystem?

EDA and Semiconductor — Is There Growth In The Ecosystem?
by Alex Tan on 03-07-2018 at 12:00 pm


The semiconductor industry has gone through several major transitions driven by different dynamics such as shift in business models (fab-centric to fab-less), product segmentation (system design house, IP developers) and end market applications (PC to cloud; and recently, to both automotive and Internet of Things — IOT’s,Read More


PCB Design in the Cloud

PCB Design in the Cloud
by Daniel Payne on 02-28-2018 at 12:00 pm

I remember meeting John Durbetaki at Intel where we both worked in 1980, it was an exciting time and something called the Personal Computer had just been introduced by companies like Commodore, Apple and Radio Shack (yes, Radio Shack). IBM was rather late to the party with their PC in 1981, however when IBM entered the market then … Read More


IPC-2581: The Standard for PCB Data Exchange

IPC-2581: The Standard for PCB Data Exchange
by Tom Dillinger on 02-19-2018 at 12:00 pm

The motivations to establish an industry standard data format are varied:

[LIST=1]

  • solidify a “de facto” standard, transitioning its evolution and support from a single company to an industry consortium;
  • aggregate disparate sources of design and manufacturing data into a single representation, with documented semantics;
Read More

Data Security – Why It Might Matter to Design and EDA

Data Security – Why It Might Matter to Design and EDA
by Alex Tan on 02-14-2018 at 12:00 pm


According to the Economist,
The world’s most valuable resource is no longer oil, but data”.
Is this the case?Data is the by-product ofmany aspects of recent technology dynamics and is becoming the currency of today’s digital economy. All categories in Gartner’s Top10 Strategic Technology Trends for 2018 (FigureRead More


Machine Learning And Design Into 2018 – A Quick Recap

Machine Learning And Design Into 2018 – A Quick Recap
by Alex Tan on 02-07-2018 at 3:00 pm

How could we differentiate between deep learning and machine learning as there are many ways of describing them? A simple definition of these software terms can be found here. Let’s look into Artificial Intelligence (AI), which was coined back in 1956. The term AI can be defined as human intelligence exhibited by machines.Read More


IoT Designs Beginning to Shift to 7nm: Promises Upside for Cadence Physically-Aware Design Flow

IoT Designs Beginning to Shift to 7nm: Promises Upside for Cadence Physically-Aware Design Flow
by Mitch Heins on 01-29-2018 at 12:00 pm

Until recently, ICs at bleeding edge nodes like 7nm technology from foundries like TSMC were mostly targeted for high-performance-computing (HPC) and mobile applications or possibly high radix switches that needed the increased performance of advanced nodes. The momentum of Moore’s law and Moore-than-Moore saw foundries… Read More


Simulation and Formal – Finding the Right Balance

Simulation and Formal – Finding the Right Balance
by Bernard Murphy on 01-23-2018 at 7:00 am

Simulation dominates hardware functional verification today and likely will continue to dominate for the foreseeable future. Meanwhile formal verification, once thought to be a possible challenger for the title, has instead converged on a more effective role as a complement to simulation. Formal excels at finding problems… Read More


Scoreboard and Issues Management Tools for PCB Projects

Scoreboard and Issues Management Tools for PCB Projects
by Tom Dillinger on 01-16-2018 at 12:00 pm

The complexity of an SoC design necessitates that the project managers have accurate visibility into the overall design status, spanning the entire range of tasks – from functional simulation error triage, to physical layout verification errors, to electrical analysis results. Flow scripts used by SoC teams parse the log file… Read More


Blurring Boundaries

Blurring Boundaries
by Bernard Murphy on 12-05-2017 at 7:00 am

I think most of us have come to terms with the need for multiple verification platforms, from virtual prototyping, through static and formal verification, to simulation, emulation and FPGA-based prototyping. The verification problem space is simply too big, in size certainly but also in dynamic range, to be effectively addressed… Read More