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What Our R&D Experts Say
Fusion Compiler delivers superior levels of power, performance and area out-of-the-box, along with industry-best turnaround time. Hear our R&D experts discus the latest innovations and how Fusion Compiler can help you achieve simply better PPA.
Voltage Optimization
Performance-per-watt has emerged as one of the highest priorities in design quality, leading to a shift in technology focus and design power optimization methodologies. Variable operating voltage possess high potential in optimizing performance-per-watt results but requires a signoff accurate and efficient methodology to explore. Synopsys Fusion Design Platform, uniquely built on a singular RTL-to-GDSII data model, delivers a full-flow voltage optimization and closure methodology to achieve the best performance-per-watt results for the most demanding semiconductor segments.
Design Success with Foundation IP & Fusion Compiler
When is 1+1 greater than 2? When using DesignWare Foundation IP & Fusion Compiler! Join Raymond and Yung in their discussion of a customer that benefited from the combination of Fusion Compiler’s machine learning and Foundation IP cells and macros.
Fusion Compiler – Dynamic Power Shaping
Dr. Tobias Bjerregaard, Director of R&D at Synopsys, discusses how the latest innovations in power-grid integrity, deployed in Fusion Compiler in the form of dynamic-power-shaping (DPS) technology, is efficiently delivering more robust and reliable designs.
CCD Everywhere throughout the RTL-to-GDSII Design Flow with Synopsys’ Fusion Compiler
Dr. Aiqun Cao, VP of Engineering at Synopsys, discusses how Fusion Compiler’s unified physical synthesis and common optimization framework enables full-flow concurrent clock and data (CCD) optimization, while ensuring physical convergence downstream.
Golden Signoff Embedded in the RTL-to-GDSII Design Flow with Fusion Compiler
Dr. Henry Sheng, group director of R&D at Synopsys, discusses how Fusion Compiler delivers signoff-accurate PPA on high-performance, low-power designs at advanced nodes, and accelerates design schedules by eliminating late surprises and iterations.