DDR5: How Faster Memory Speeds Shape The Future


Faster data processing requires faster memory. Double data rate synchronous dynamic random-access memory (DDR SDRAM) enables the world’s computers to work with the data in memory. DDR is used everywhere — not just in servers, workstations, and desktops, but it is also embedded in consumer electronics, automobiles, and other system designs. DDR SRAM is used for running applications and d... » read more

The Power Of Big Data: Or How To Make Perfect 30-Minute Brownies In Only 30 Minutes


You're scrolling online, and the picture stops you in your tracks, grabs you, captivates you. Glistening chocolate pieces are, determinedly yet slowly, oozing down a moist brownie with a crisped-to-perfection, powdered topping. It sits there, confident, flaking lazily onto a bone-white china plate. It looks delicious—mouthwatering—and, apparently, you can make it with just a 30-minute inves... » read more

Adaptive Clocking: Minding Your P-States And C-States


Larger processor arrays are here to stay for AI and cloud applications. For example, Ampere offers a 128-core behemoth for hyperscalers (mainly Oracle), while Esperanto integrates almost 10x more cores for AI workloads. However, power management becomes increasingly important with these arrays, and system designers need to balance dynamic power with system latency. As we march year over year, t... » read more

Embedded World 2022: Structural Changes In Ecosystems


As my train approaches Nuremberg for the Embedded World conference—which this year is in June versus its usual timing in February—I am reviewing my past related blogs back to 2012. My complaints about the cold weather have been a common thread in past blogs, but with a weather forecast of 28°C/80°F, I will probably ask for cooler weather at the end of the day. Past key themes included tec... » read more

High-Performance 5G IC Designs Need High-Performance Parasitic Extraction


By Karen Chow and Salma Ahmed Elhenedy We are rapidly approaching a future where 5G telecommunications will be the norm. With its increased data speeds and bandwidth, 5G has the potential to change the way we live our lives. But what does that mean for the average person? Think about cellphones, for one. You don't just use your phone for calling or texting anymore—you surf the web, chec... » read more

The Role Of AI And Endpoint Real-Time Data Analytics


The Internet of Things (IoT) has the capability of amassing large amounts of data which it does with the help of dispersed intelligent sensors. The organization and distribution of this enormous amount of data is posing a challenge. While conventional methods of data analysis have facilitated the operations in IoT, artificial intelligence (AI) has proven that it can do it with greater precision... » read more

Building The Highway To Automotive Innovation


The semiconductor industry has changed and nowhere is this more visible than in the automotive industry. Global chip shortages have highlighted how dependent we are on silicon to keep cars on the roads. These shortages are also keeping wait times for new vehicles at an all-time high. Add to this an influx of non-traditional players into the market and it's easy to see why the automotive sect... » read more

Traceability Is Not My Problem (Is It?)


What is all the fuss about traceability? If it is that important, should it be handled by a compliance group? Delegating to a separate team would be the preference for most design and verification team members, but it is not possible in this case. Traceability stops short of a big brother organization constantly looking over the shoulders of the development team. The more reasonable approach is... » read more

Design For Context And Its Impact On EDA


At the recent CEO panel, Ed Sperling used the term “Design for Context” as one of the key trends, identifying what others have referred to as “domain specific” or “workload specific.” The term struck a chord with me, as I see it in many customer meetings across various industry verticals in the context of a specific industry driving requirements for tools and IP. Undoubtedly, semico... » read more

Enabling Big Chip AI Solutions Through Intelligent Clock Networks


Data centers, autonomous vehicles, and computer vision applications are pushing the limits of scalable AI compute. Data center chips face multi-trillion parameter models that continue growing every year. ADAS systems require flexibility and processing power for new model types, such as vision transformers. Edge AI solutions demand tight power budgets and the ability to process multiple models i... » read more

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