High Voltage Applications.


Today’s high-resolution displays and high data transmission speed have been driving the rapidly growing embedded high voltage (eHV) IC market. UMC supports these applications with extensive and proven eHV technologies, while continuing to invest in research and development to provide more and better solutions to meet current and future requirements for the ever-expanding eHV market. Click... » read more

Inferencing At The Edge


David Fritz, head of corporate strategic alliances at Mentor, a Siemens Business, shows how to apply YOLO (you only look once) at the edge, allowing automotive companies to move from a GPU to a much more efficient processor. That allows inferencing to move much closer to the sensor, so neural networks can be tailored to the type of data being produced. From there the data can be abstracted and ... » read more

Application Driven Network On Chip Architecture Exploration And Refinement For A Complex SoC


This white paper summarizes the various features a NoC is required to implement to be integrated in modern SoCs, describes a top-down approach based on the progressive refinement of the NoC description from its functional specification (Sect. 4) to its verification (Sect. 8), and it uses use cases to show how to identify bottlenecks and converge towards the NoC implementation. To read more, ... » read more

Debugging Complex SoCs


Semiconductor Engineering sat down to discuss the debugging of complex SoCs with Randy Fish, vice president of strategic accounts and partnerships for UltraSoC; Larry Melling, product management director for Cadence; Mark Olen, senior product marketing manager for Mentor, a Siemens Business; and Dominik Strasser, vice president of engineering for OneSpin Solutions. What follows are excerpts of ... » read more

Building Your First Chip For Artificial Intelligence? Read This First


As artificial intelligence (AI) capabilities enter new markets, the IP selected for integration provides the critical components of the AI SoC. But beyond the IP, designers are finding a clear advantage in leveraging AI expertise, services, and tools to ensure the design is delivered on time, with a high level of quality and value to the end customer for new and innovative applications. Over... » read more

SOC Design & IP Management—A Must For Functional Verification


As a part of the verification flow, verification teams perform different types of simulations based on the nature of the design. The simulations include digital logic functional simulations, mixed-signal functional simulations, power-aware simulations, formal verification runs and gate-level simulations. For a signoff, all planned tests must pass in all four types of simulations. In addition t... » read more

The Changing Landscape of Hardware-Based Verification And Software Development


As the EDA is gearing up for its biggest industry event, the Design Automation Conference (DAC), this year in Las Vegas, it is interesting to observe what is going on in hardware-based development of emulation and prototyping. The trends I had outlined after last DAC in 2018—system design, cloud, and machine learning—have only grown stronger and are causing changes in the development landsc... » read more

Incremental System Verification


Semiconductor Engineering sat down to discuss the implications of having an executable specification that drives verification with Hagai Arbel, chief executive officer for VTool; Adnan Hamid, chief executive office for Breker Verification; Mark Olen, product marketing manager for Mentor, a Siemens Business; Jim Hogan, managing partner of Vista Ventures; Sharon Rosenberg, senior solutions archit... » read more

Complexity’s Impact On Security


Ben Levine, senior director of product management for Rambus’ Security Division, explains why security now depends on the growing number of components and the impact of interactions between those components. This is particularly problematic with AI chips, both on the training and inferencing side, where security problems on the training side can alter models for AI inferencing. » read more

Automotive, AI Drive Big Changes In Test


Design for test is becoming enormously more challenging at advanced nodes and in increasingly heterogeneous designs, where there may be dozens of different processing elements and memories. Historically, test was considered a necessary but rather mundane task. Much has changed over the past year or so. As systemic complexity rises, and as the role of ICs in safety-critical markets continues ... » read more

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