Overview
M31 provides a variety of cell libraries, including Ultra-High Density Standard Cell Library (HDSC), General Purpose Standard Cell library (GPSC), Ultra-High Speed Standard Cell library (HSSC), and Low Leakage Standard Cell library (LLSC). In addition to these base libraries, M31 also provides Engineering Change Order library (ECO) for metal programmable features, as well as Power Management Kit library (PMK) and Low Power Optimization Kit (LPKT) for power and speed optimization purposes. Nowadays, M31 Standard Cell Libraries are already applied in many fields such as IoT, AI, Automotive, and CPU/GPU markets.
M31 is able to customize specific cell functions and willing to cooperate with customers to achieve their PPA targets. We developed Standard Cell Library not only available for logic process nodes, but also for specialty process nodes.
Learn more about Standard Cell Libraries IP core
Standard cells libraries are usually designed to operate at a specific value of supply voltage referred to as “nominal voltage”. This article details the performance trade-offs in terms of power consumption and speed when decreasing power supply voltage, as well as a methodology to determine the lowest value to use.
If someone had predicted fifteen years ago that 28nm would still be the foundation for many new chip designs, the idea might have seemed unlikely. Process technology was advancing rapidly, and the industry’s attention was firmly fixed on shrinking geometries. Each new node promised more transistors, greater integration, and higher performance.
Adaptability is essential for digital twin systems due to constantly evolving environments – Learn how eFPGA hardware enables robust and adaptable systems
The free lunch offered for decades by Moore’s law is now over and scaling down to the next technology node no longer offers the required energy efficiency gains. Design teams must now pursue their gains by deploying increasingly complex power management techniques to meet the demands of the new IoT markets.
In this article, we are going to understand how we can solve the gross simulation failure by understanding and editing the SPF skeleton at ATPG stage.