Innovus+ Synthesis And Implementation System


The Innovus+ platform incorporates Innovus synthesis and Innovus implementation capabilities, all integrated into one unified environment for outstanding ease of use and power, performance, and area (PPA) results. Innovus+ Synthesis can be used standalone to generate physically aware netlists ready for handoff to other design teams, such as ASIC partners, or the implementation flow can conti... » read more

How To Optimize Silicon Utilization To Improve PPA


In the semiconductor industry, optimizing Power, Performance, and Area (PPA) is a key challenge for designers and architects. Balancing these three factors often involves making trade-offs. Improving one variable might lead to sacrificing others. For example, boosting performance may result in increased power consumption and a larger silicon area, or some power-reducing techniques might reduce ... » read more

Multi-Die Design Start Guide


If you are exploring a multi-die project and need guidelines on getting started, this white paper is for you. Any engineer on a semiconductor design project has read many articles about the power, performance, and area (PPA), functional scalability, and time-to-market advantages of multi-die designs using 2.5D and 3D technologies. The advantages are the main reason the adoption of multi-die des... » read more

Challenges In Managing Chiplet Resources


Managing chiplet resources is emerging as a significant and multi-faceted challenge as chiplets expand beyond the proprietary designs of large chipmakers and interact with other elements in a package or system. Poor resource management in chiplets adds an entirely new dimension to the usual power, performance, and area tradeoffs. It can lead to performance bottlenecks, because as chiplets co... » read more

A Novel Tier Partitioning Method in 3DIC Placement Optimizing PPA


A new technical paper titled "PPA-Aware Tier Partitioning for 3D IC Placement with ILP Formulation" was published by researchers at Seoul National University and Ulsan National Institute of Science and Technology. Abstract "3D ICs are renowned for their potential to enable high-performance and low-power designs by utilizing denser and shorter inter-tier connections. In the physical design f... » read more

Boost SoC Efficiency And Speed With FlexGen Smart NoC IP Automation


Today’s high-end SoCs contain many heterogeneous processing elements to address the needs of HPC and AI applications. These include Central Processing Units (CPUs), Graphics Processing Units (GPUs), Neural Processing Units (NPUs), Tensor Processing Units (TPUs), and other hardware accelerators. Furthermore, IPs may contain clusters of these processor cores, and SoC subsystems may include arra... » read more

Hyperconvergence Of Design For Test And Physical Design


By Sri Ganta and Hyoung-Kook Kim In today’s highly competitive semiconductor industry, chip-design companies strive for competitive advantages by optimizing designs for PPA (Power, Performance, Area). Along with the functional logic, design cores also comprise DFT (Design for Test) logic that spreads across the design. The DFT logic also must be optimized for PPA, requiring design implemen... » read more

Power Delivery Challenges in 3D HI CIM Architectures for AI Accelerators (Georgia Tech)


A new technical paper titled "Co-Optimization of Power Delivery Network Design for 3D Heterogeneous Integration of RRAM-based Compute In-Memory Accelerators" was published by researchers at Georgia Tech. Abstract: "3D heterogeneous integration (3D HI) offers promising solutions for incorporating substantial embedded memory into cutting-edge analog compute-in-memory (CIM) AI accelerators, ad... » read more

Gate-All-Around: TCAD and DTCO Approach To Evaluate Power and Performance (imec, et al.)


A new technical paper titled "Exploring GAA-Nanosheet, Forksheet and GAA-Forksheet Architectures: a TCAD-DTCO Study at 90 nm & 120 nm Cell Height" was published by imec, Huawei Technologies and Global TCAD Solutions. Abstract "This study presents a Technology Computer Aided Design (TCAD) and comprehensive Design-Technology Co-Optimization (DTCO) approach to evaluate and enhance power an... » read more

Goal-Driven AI


For many, the long-term dream for AI within EDA is the ability to define a set of goals and tell the computer to go design it for them. A short while later, an optimized design will pop out. All of today's EDA tools will remain hidden, if they even exist at all. You would only be limited by your imagination. But we also know that AI is not to be trusted today, especially when millions of dol... » read more

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