SMACD 2018 & PRIME 2018

Contribution List

4. Challenges in Analog/Mixed-Signal Design Automation

Prof. Sachin Sapatnekar

04/07/2018, 09:00

Plenary Talks

The traditional view of electronic design automation has intensively focused on the design, synthesis, and layout of digital circuits. This perspective has been reinforced by the trends from Moore's law, which have seen digital system complexities grow exponentially, prompting an acute need for efficient design tools and flows. In contrast, analog design has remained largely focused on the...

3. Accelerating Mixed-Signal Design Verification: Turn a SPICE netlist into a SystemVerilog Model

Prof. Richard Shi

05/07/2018, 09:00

Plenary Talks

Design verification is a bottleneck on modern SoC design. Very often, modern SoCs contain both digital blocks and analog blocks. While the metric-driven verification methodology exists for digital verification, analog and mixed-signal design verification relies heavily on SPICE simulation and manual modeling, a process known to be time consuming and error prone. In this talk, we will introduce...

5. Accelerating Mixed-Signal Design Verification: Turn a SPICE netlist into a SystemVerilog Model

Mr Roger Panicacci

05/07/2018, 13:00

Plenary Talks

Today’s image sensor solutions for demanding applications like automotive driver assist image sensing, high speed machine vision, and low power battery operated cameras started from relatively modest solutions for pixels and analog readout design. These initial solution options have evolved along different paths. Now the designer must understand the overall image system requirements to decide...

2. Accelerating Mixed-Signal Design Verification: Turn a SPICE netlist into a SystemVerilog Model

Design verification is a bottleneck on modern SoC design. Very often, modern SoCs contain both digital blocks and analog blocks. While the metric-driven verification methodology exists for digital verification, analog and mixed-signal design verification relies heavily on SPICE simulation and manual modeling, a process known to be time consuming and error prone. In this talk, we will introduce...