What is Computational Software?

Computational software is the implementation of complex algorithms and sophisticated numerical analysis for heuristics and pattern recognition processes. Computational software spans industries such as semiconductors, systems, weather prediction, medical, scientific software, and financial and business analytics. It is also heavily used in artificial intelligence and machine learning (AI/ML) algorithms.

Continued innovations in computational software are advancing the design of complex electronics chips, boards, and systems to build devices that are smarter, smaller, and use less power.

Why is Computational Software Important?

There are an unprecedented five technology drivers, each of which are impacting the lives of people across the world—the advent of 5G, artificial intelligence/machine learning (AI/ML), hyperscale computing, the industrial internet of things (IIoT), and autonomous vehicles require radically new design techniques.

Advances in computational software are addressing the complexity and scale of billion-gate chips and providing complex multi-physics analysis for high-speed wired and wireless communications to address these trends.

Cadence Leadership in Computational Software

Computational software innovation is occurring in three key areas. First, in fully integrated electronics and system tool flows, alongside the introduction of machine learning capabilities. Second, the growing prevalence of distributed computing and multi-core computation creates an environment that computational software is uniquely positioned to take full advantage of.

System complexities make it necessary to perform multi-physics analysis of silicon, packages, PCBs, and connectors. Co-design and co-optimization have become essential to meet escalating system-performance requirements.