@yalanand - I used HFSS for antenna design. Another guy 2 cubes over is using the former Apache stuff for chip integrity analysis. Ansys is pretty close to Cadence or Mentor in size, but also does mechanical analysis It seems like they have really bulked up on the electronics and semiconductor side with the addition of Ansoft and Apache.
@goafrit, I am not sure if you have used MAGMA tools, but I have been using MAGMA tools from last 4 years and I am pretty happy with those tools especially P&R tools. Although cadence Encounter is giving tough competition to Magma but Magma is preferred for bigger design's.
There is the possibility that the Board overruled Rajeev because the deal was too good to pass on, much like what happened last week at American Airlines when they went for Chapter 11 bankruptcy protection (Gerard Arpy 'retired' as a result). We'll see if any more news and rumors shake out of this.
Dylan is right - there isnt going to be any merger between Cadence and Mentor. Wally Rhines was here in Bangalore for the Mentor user conference and he just laughed off the idea of a Cadence-Mentor merger when I asked him about it. He said, "why should I feel any pressure on this - Magma is so much smaller and we are going to be a $1 billion company, there is no pressure. And, regarding the Synopsys_Magma issue -he quipped, " I frankly cannot understand why it happened, you should ask Art and tell me about it.
This should actually open up the opportunity for some of the other smaller companies offering P&R. Once the two companies are deep into their integration phase and internal politics, the innovators have a chance to compete on a more level playing field. Last I looked their were about 20 other players.
"this acquisition would leave Synopsys as the dominant solution for P&R, timing and DRC tools."
Cadence Encounter is no slouch on P&R and timing analysis, and many engineers swear by Mentor Calibre for DRC.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.