Design IP


Cadence is a leader in semiconductor IP addressing hyperscale computing, enterprise, data center, automotive, and artificial intelligence/machine learning (AI/ML) applications. Our IP are available in advanced-process nodes ranging from 28nm to 3nm—all silicon verified in leading-edge foundry processes. Our memory IP portfolio spans DDR, LPDDR, and GDDR. The Cadence® IP family for PCI Expres... » read more

Chiplets Taking Root As Silicon-Proven Hard IP


Chiplets are all the rage today, and for good reason. With the various ways to design a semiconductor-based system today, IP reuse via chiplets appears to be an effective and feasible solution, and a potentially low-cost alternative to shrinking everything to the latest process node. To enable faster time to market, common IP or technology that already has been silicon-proven can be utilized... » read more

Fixed-Point And Floating-Point FMCW Radar Signal Processing With Tensilica DSPs


Automotive Advanced Driver Assistance Systems (ADAS) applications are increasingly demanding radar modules with better capability and performance. These applications require sophisticated radar processing algorithms and powerful Digital Signal Processors (DSPs) to run them. Because these embedded systems have limited power and cost budgets, the DSP’s Instruction Set Architecture (ISA) needs t... » read more

Design And Verification Methodologies Breaking Down


Tools, methodologies and flows that have been in place since the dawn of semiconductor design are breaking down, but this time there isn't a large pool of researchers coming up with potential solutions. The industry is on its own to formulate those ideas, and that will take a lot of cooperation between EDA companies, fabs, and designers, which has not been their strong point in the past. It ... » read more

Will Floating Point 8 Solve AI/ML Overhead?


While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

Tensilica DSPs Support In Eigen Library


Eigen is a high-level C++ library of template headers for linear algebra, matrix and vector operations, geometrical transformations, numerical solvers, and related algorithms. Eigen is open-source software licensed under the Mozilla Public License 2.0 (MPL2). Eigen is implemented using the expression templates metaprogramming technique, meaning it builds expression trees at compile time... » read more

Tensilica DSP Code Generation Toolbox With MATLAB/Simulink


MATLAB and Simulink are widely used for modeling and simulating real-time dynamical systems. To verify the performance of MATLAB/Simulink models of these systems in a real-time application, MATLAB/Simulink models are converted to embedded C code and executed on a target processor or its equivalent Instruction Set Simulator (ISS). To deploy the generated C code in a processor, the genera... » read more

Tempus Timing Signoff Solution


The Cadence Tempus Timing Signoff Solution is the fastest static timing analysis (STA) tool in the industry today with unique distributed processing and cloud capabilities enabling hundreds of CPUs to quickly complete even the largest designs. With full foundry certification and a comprehensive set of advanced capabilities, the Tempus solution delivers SPICE-accurate results to hundreds... » read more

On-Chip Power Distribution Modeling Becomes Essential Below 7nm


Modeling power distribution in SoCs is becoming increasingly important at each new node and in 3D-ICs, where tolerances involving power are much tighter and any mistake can cause functional failures. At mature nodes, where there is more metal, power problems continue to be rare. But at advanced nodes, where chips are running at higher frequencies and still consuming the same or greater power... » read more

Improving Reliability In Automobiles


Carmakers are turning to predictive and preventive maintenance to improve the safety and reliability of increasingly electrified vehicles, setting the stage for more internal and external sensors, and more intelligence to interpret and react to the data generated by those sensors. The number of chips inside of vehicles has been steadily rising, regardless of whether they are powered by elect... » read more

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