Also at ISPD, which was held March 14 to 17 in San Francisco, Mentor Graphics Corp. proposed that hardware/software co-design be used for chips, their packages and their printed circuit (pc) boards. A Mentor executive offered an example in which a 26 percent cost savings was realized by performing such a co-optimization of all three systems simultaneously.
"Thinking outside of the chip," was the key, according to John Park, business development manager for Mentor's System Design division. By optimizing the interconnect complexity among all three levels of a design--chip, package and pc boardPark claimed that pin counts, packaging costs and high speed I/O can be optimized. According to Park, the chip-to-package-to-pc board design flow needs to be performed in parallel because restraints on pc boards often place requirements on package design, while package requirements can in turn constrain chip design, both of which are ignored by current designs flows.
Serge Leef, Mentor's vice president of new ventures and general manager of the company's System-Level Engineering division, invited the automotive industry to adopt the EDA design methodology for on-board electronics.
According to Leef, the typical automobile today has up to 60 electronic control units (ECUs), up to 10 different data networks, several megabytes of memory and miles of wiringall of which could be better designed by EDA-like software.
"Software components are like VLSI macros and standard cells; ECUs are like physical areas on the layout onto which IC blocks are mapped; signal-to-frame mapping is like wire routing," said Leef.
New software tools are needed, according to Leef, which can copy the EDA methodology but be optimized for solving the simultaneous conflicting constraints in automotive electronics, permitting analysis and optimization of designs in order to reduce the number of test cars that have to be prototyped.
In perhaps the boldest presentation at ISPD, keynote speaker Louis Scheffer, a former Cadence Design Systems Inc. Fellow who is now at Howard Hughes Medical Institute, proposed adapting EDA tools to model the human brain. Scheffer described the similarities and differences between the functions of VLSI circuitry and biological neural networks, pointing out that the brain is like a smart sensor network with both analog and digital behaviors that can be modeled with EDA.