Faster Verification Debug With AI


Every stage of semiconductor development takes longer and requires more effort with each new generation of chips. At no stage is this more apparent than functional verification. Industry consensus is that verification consumes roughly two-thirds of development time and resources. Within verification, debug is the most challenging step, consuming a third to two-thirds of the effort. Any serious ... » read more

Multi-Die Verification


Chiplets offer unprecedented flexibility in high-performance designs, but they also add new challenges on the verification side. Changing out a chiplet, or adding a new one, can mean having to re-verify an entire multi-die system, a problem that becomes even more complicated if those chiplets are developed by different vendors. Paul Graykowski, director of product marketing at Cadence Design Sy... » read more

AI Agents For UVM Generation: Challenges And Opportunities


By Yuheng Tang and Kexun Zhang In the last two years, the role of AI tools in developers' workflows has rapidly expanded. What were once simple "code completion" engines have since evolved into agents that can read documentation, test their own code, and improve via self-reflection. While AI has already begun enhancing RTL design workflows, its exploration in verification remains in early st... » read more

Advanced RISC-V Verification Methodology Projects


The open standard of RISC-V offers developers new freedoms to explore new design flexibilities and enable innovations with optimized processors. As a design moves from concept to implementation new resources are appearing to help with standards for testbenches, verification IP reuse, and coverage analysis. RISC-V offers every SoC team the possibility to design an optimized processor, but this a... » read more

Using IP-XACT To Solve Design And Verification Problems


As today’s SoC designs grow more complex and time-to-market (TTM) pressures rise, designers are looking for techniques to build and update designs easily. Key elements for addressing these SoC challenges include the incorporation of more commercial IP components, internal design IP reuse, and extensive automation of design and verification activities. Enhanced interoperability and reusability... » read more

Better Quality RTL


How do you measure the quality of RTL? Philippe Luc, director of verification at Codasip, talks about identifying bugs, improving the overall quality of the verification, what happens when different blocks are used in a design, and how to improve efficiency in the verification process. » read more

Using AI And Bugs To Find Other Bugs


Debug is starting to be rethought and retooled as chips become more complex and more tightly integrated into packages or other systems, particularly in safety- and mission-critical applications where life expectancy is significantly longer. Today, the predominant bug-finding approaches use the ubiquitous constrained random/coverage driven verification technology, or formal verification techn... » read more

Is Hardware-Assisted Verification Avoidable?


Emulation is emerging as the tool of choice for complex and large designs, but companies that swap from simulation to emulation increasingly recognize this is not an easy transition. It requires money, time, and effort, and even then not everyone gets it right. Still, there are significant benefits to moving from simulation to emulation, providing these systems can be utilized efficiently en... » read more

Context-Aware Debug


Moses Satyasekaran, product manager at Mentor, a Siemens Business, examines the growing complexity of debug, which now includes software, power intent and integration, multiple clocking and reset domains, and much more, where the limitations are for debug, and how automotive, functional safety and mixed signal affect the overall process. » read more

Which Verification Engine When


Frank Schirrmeister, group director for product marketing at Cadence, talks about which tools get used throughout the design flow, from architecture to simulation, formal verification, emulation, prototyping all the way to production, how the cloud has impacted the direction of the flow, and how machine learning will impact verification. » read more

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