Data Center Digital Twin Return On Investment From An Environmental Standpoint


Data center operators face growing pressure to enhance sustainability. Understanding where inefficiencies occur is the first step toward making impactful changes. Cadence Reality DC Digital Twin helps you identify inefficiencies, implement solutions, and track improvements. This white paper reveals how Cadence Reality DC Digital Twin can save an average of 316MWh annually, delivering a retur... » read more

How Does Reclaiming Data Center Lost Capacity Result in Return on Investment?


As the importance of data center performance, efficiency, and sustainability grows, owners and operators must move beyond “quick fixes” when managing their data center and IT deployments. These temporary solutions are neither effective nor sustainable. Long-term solutions and effective management over time are required to achieve meaningful efficiency gains. Capacity planning is one such di... » read more

Test Connections Clean Up With Real-Time Maintenance


Test facilities are beginning to implement real-time maintenance, rather than scheduled maintenance, to reduce manufacturing costs and boost product yield. Adaptive cleaning of probe needles and test sockets can extend equipment lifetimes and reduce yield excursions. The same is true for load board repair, which is moving toward predictive maintenance. But this change is much more complicate... » read more

The Drive Toward More Predictive Maintenance


Maintenance is a critical behind-the-scenes activity that keeps manufacturing facilities running and data centers humming. But when not performed in a timely manner, it can result in damaged products or equipment, or significant system/equipment downtime. By shifting from scheduled maintenance to predictive maintenance, factories and electronic system owners can reap substantial benefits, in... » read more

How To Justify A Data Center


The breadth of cloud capabilities and improvements in cost and licensing structures is prompting chipmakers to consider offloading at least some of their design work into the cloud. Cloud is a viable business today for semiconductor design. Over the past decade, the interest in moving to cloud computing has grown from an idea that was fun to talk about — but which no one was serious about ... » read more

Rethinking The Scaling Mantra


What makes a new chip better than a previous version, or a competitor's version, has been changing for some time. In most cases the key metrics are still performance and power, but what works for one application or use case increasingly is different from another. Advancements are rarely tied just to process nodes these days. Even the most die-hard proponents of Moore's Law recognize that the... » read more

Inevitable Bugs


Are bug escapes inevitable? That was the fundamental question that Oski Technology recently put to a group of industry experts. The participants are primarily simulation experts who, in many cases, help direct the verification directions for some of the largest systems companies. In order to promote free discussion, all comments have been anonymized, distilling the primary thoughts of the parti... » read more

Practical Processor Verification


Custom processors are making a resurgence, spurred on by the early success of the RISC-V ISA and the ecosystem that is rapidly building around it. But this shift is amid questions about whether processor verification has become a lost art. Years ago custom processors were common. But as the market consolidated around a handful of companies, so did the tools and expertise needed to develop th... » read more

Testing Autonomous Vehicles


Jeff Phillips, head of automotive marketing at National Instruments, talks about how to ensure that automotive systems are reliable and safe, how test needs to shift to adapt to continual updates and changes, and why this is particularly challenging in a world where there is no known right answer. » read more

Verification In The Era Of Autonomous Driving, Artificial Intelligence And Machine Learning


The last couple of weeks have been busy with me participating on three panels that dealt with AI and machine learning in the contexts of automotive and aero/defense, in San Jose, Berlin and Detroit. The common theme? Data is indeed the new oil, and it messes with traditional value creation in electronics. Also, requirements for system design and verification are changing and there are completel... » read more

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