Semiconductor|Parallel Application Development for MATLAB® and Python Users

Industry Solutions: Semiconductor Design & Manufacturing

Computing with Star-P is applicable in multiple areas of research and product development in semiconductor design and manufacturing. Currently used solutions based on Star-P and relevant to semiconductor design and manufacturing problems include:

Application Areas

Monte Carlo simulation of SPICE calculations
Static Timing Validation

Large-scale circuit simulation using sparse solvers
Design for Manufacturability

Case Studies

Videos & Demos

Computational Photonics Design >
11x Speed-Up on 16 Processor Server

Star-P Product
Overview >

Familiar desktop environment
Fine- and course-grained parallelism
Leveraging existing codes through the API
Code optimization through performance profiler

Star-P Demonstration >

Leverage existing MATLAB® codes
Fine- and coarse-grained parallelism
Client-server interaction

Financial Services >
Defense & Intelligence >
Life Sciences >
University & Academia >

Semiconductor Design &
Manufacturing Whitepaper:

The Star-P Platform in Semiconductor Design and Manufacturing

The application of Star-P to semiconductor design and manufacturing is illustrated through several examples:

Accelerating Monte Carlo SPICE simulations
Static timing validation
Running large simulations from desktop SPICE
Supporting "Design for Manufacturability" (DFM) methodologies

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