Custom Compiler

DAC 2018 Custom Design Lunch Panel, AMS, custom platform, Custom Compiler

Advancing Custom Design for Storage, AI, and Automotive Applications

The DAC 2018 Custom Lunch featured Esperanto, Numem, NVIDIA, Seagate, and Toshiba Memory Corp. discussing how they are meeting FinFET design complexity, performance, and reliability challenges.

Best-in-Class Technology for Advanced-node Custom Design

Custom Compiler™ is a modern solution for full-custom analog, custom digital, and mixed-signal IC design. As the heart of the Synopsys Custom Design Platform, Custom Compiler provides design entry, simulation management and analysis, and custom layout editing features. It delivers industry-leading productivity, performance, and ease-of-use while remaining easy to adopt for users of legacy tools.

Custom Compiler’s design environment includes features for mixed-signal design entry, design debug, simulation management, analysis, and reporting. For layout, Custom Compiler provides fast and user-friendly polygon editing features and boosts productivity with its pioneering visually-assisted automation flow. Visually-assisted automation is an innovative approach that delivers 2-10X better layout productivity—especially for difficult FinFET-based designs. Custom Compiler includes built-in verification features to catch physical and electrical errors during layout. These include design rule checking, electromigration checking, and resistance and capacitance extraction. Custom Compiler makes it easy to communicate design intent and achieve analog design closure, with support for templates and early parasitic simulation.

Synopsys Success

Dino Toffolon, VP of Engineering for DesignWare IP at Synopsys, discusses his team's successful development of advanced, silicon-proven, mixed-signal interface IP using Custom Compiler.

Seagate Success

Ken Evans, Managing Technologist at Seagate Technology, discusses the advantages of using Custom Compiler on their storage design.

Esperanto Success

At DAC 2018, Michael Dierickx discussed how Esperanto Technologies automated physical design of an energy-efficient machine-learning processor using Custom Compiler.