Main concerns related to post-layout simulation, today, are about the format of the netlist coming out from the parasitic extractor. In fact, such a netlist is usually flat so that readability, whether compared to the pre-layout hierarchical one, is very poor due to device and net names which often change and to the difficulty to compare pre-layout and post-layout output signals. Furthermore, simulating such large flat netlists is frequently time consuming because it is not possible to exploit algorithms like hierarchical array reduction (HAR) and isomorphic matching (IM), strength points of state-of-the-art full chip simulators. In this paper, we present a new approach that, starting from a flat netlist with parasitic components and a pre-layout hierarchical one, allows to create a fully hierarchical post-layout netlist containing device parameters and parasitic components directly extracted from the layout. In this way, a fast and accurate post-layout simulation is made possible by the use of look-up table simulators, taking advantages from the HAR and IM algorithms as mentioned before. This methodology has been integrated in a complete design flow to guarantee first silicon success, cut down time-to-design, improve time-to-market and streamline design quality.

A 1GOPS dynamically reconfigurable processing unit with embedded Flash memory and SRAM-based FPGA targets image-voice processing and recognition applications. Code, data and FPGA bitstreams are stored in the embedded Flash memory and are independently accessible through 3 content-specific, 64-bit I/O ports with a peak read rate of 1.2GB/s. The system is implemented in a 0.18um, 2PL-6ML CMOS Flash technology, chip area is 70mm2.