IoT Security: Confusing And Fragmented


Security regulations for Internet-of-Things (IoT) devices are evolving around the world, but there is no consistent set of requirements that can be applied globally — and there may never be. What exists today is a patchwork of certification labs and logos. That makes it difficult for IoT-device designers to know where to get their security blessed. Unlike in data centers, where there is a ... » read more

Supply Chain Resiliency


In response to current events, many customers have reached out to Synopsys with questions about managing risk related to vulnerabilities in software, services, and hardware sourced from their vendors. This aspect of securing your infrastructure affects many, if not all, of the domains in cyber security—from legal and governance frameworks to advanced threat detection. This white paper can... » read more

Blog Review: June 30


Siemens EDA's Chris Spear considers what classes should represent in SystemVerilog and offers two major categories along with some helpful UVM tips. Cadence's Paul McLellan listens in on keynotes at the recent TSMC Technology Symposium, including TSMC CEO C. C. Wei's introduction some of the fab's new offerings, such as an automotive-focused N5 process. Synopsys' Dennis Kengo Oka notes th... » read more

Debug: The Schedule Killer


Debug often has been labeled the curse of management and schedules. It is considered unpredictable and often can happen close to the end of the development cycle, or even after – leading to frantic attempts at work-arounds. And the problem is growing. "Historically, about 40% of time is spent in debug, and that aspect is becoming more complex," says Vijay Chobisa, director of product manag... » read more

Data Centers On Wheels


Automotive architectures are evolving quickly from domain-based to zonal, leveraging the same kind of high-performance computing now found in data centers to make split-second decisions on the road. This is the third major shift in automotive architectures in the past five years, and it's one that centralizes processing using 7nm and 5nm technology, specialized accelerators, high-speed memor... » read more

Week In Review: Manufacturing, Test


Lots more fabs and capacity The chip industry sees opportunity in shortages, and is racing to meet demand. SEMI reports 19 new worldwide high-volume fabs already have started construction, or will start by end of this year, and another 10 are scheduled in 2022. “Equipment spending for these 29 fabs is expected to surpass $140 billion over the next few years as the industry pushes to addre... » read more

Week In Review: Design, Low Power


Synopsys will acquire the semiconductor and flat panel display solutions of BISTel. The acquisition will add an integrated and comprehensive yield management and prediction solution for manufacturing quality and efficiency. BISTel provides engineering equipment systems and AI applications for smart manufacturing in a range of industries. "Combining Synopsys' and BISTel's expertise in fab soluti... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive Cadence will be capturing design insights from Presto Engineering, an ASIC designer working on high-performance system-in-package (SiP) development for the automotive and Industrial IoT markets. Presto, which also provides semiconductor services such as test and qualification, will use Cadence’s EDA and analysis tools (Allegro X Package Designer Plus, Clarity 3D Solver, Sigrity Xt... » read more

Rocky Road To Designing Chips In The Cloud


EDA is moving to the cloud in fits and starts as tool vendors sort out complex financial models and tradeoffs while recognizing a potentially big new opportunity to provide unlimited processing capacity using a pay-as-you-go approach. By all accounts, a tremendous amount of tire-kicking is happening now as EDA vendors and users delve into the how and why of moving to the cloud for chip desig... » read more

Architectural Considerations For AI


Custom chips, labeled as artificial intelligence (AI) or machine learning (ML), are appearing on a weekly basis, each claiming to be 10X faster than existing devices or consume 1/10 the power. Whether that is enough to dethrone existing architectures, such as GPUs and FPGAs, or whether they will survive alongside those architectures isn't clear yet. The problem, or the opportunity, is that t... » read more

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