Challenges In Using AI In Verification


Pressure to use AI/ML techniques in design and verification is growing as the amount of data generated from complex chips continues to explode, but how to begin building those capabilities into tools, flows and methodologies isn't always obvious. For starters, there is debate about whether the data needs to be better understood before those techniques are used, or whether it's best to figure... » read more

Electric Vehicle Development From System To Software


There is perhaps no higher profile electronic product category today than electric vehicles (EVs). Aggressive startups pioneered the market, but many major automobile manufacturers are now participating as well. Rising fuel costs, improved battery technology and increased environmental sensitivity have all helped to drive public enthusiasm for EVs. In response, developers are driving continuous... » read more

The Evolution Of High-Level Synthesis


High-level synthesis is getting yet another chance to shine, this time from new markets and new technology nodes. But it's still unclear how fully this technology will be used. Despite gains, it remains unlikely to replace the incumbent RTL design methodology for most of the chip, as originally expected. Seen as the foundational technology for the next generation of EDA companies around the ... » read more

Blog Review: Aug. 26


Cadence's Paul McLellan shares some highlights from Hot Chips, including the massive growth in deep learning models, the basics of designing neural network models, and challenges involved in different approaches. Mentor's Colin Walls explores memory management units, its job of translating an address used by the CPU to an alternative address, and why this remapping is desirable and useful. ... » read more

What Happened To Execute-in-Place?


Executing code directly from non-volatile memory, where it is stored, greatly simplifies compute architectures — especially for simple embedded devices like microcontrollers (MCUs). However, the divergence of memory and logic processes has made that nearly impossible today. The term “execute-in-place,” or ”XIP,” originated with the embedded NOR memory in MCUs that made XIP viable. ... » read more

Week In Review: Design, Low Power


Tools & IP SiFive announced OpenFive, a self-contained and autonomous business unit that will offer custom silicon solutions with differentiated IP. OpenFive will be led by Dr. Shafy Eltoukhy, SVP, and general manager of OpenFive. OpenFive debuted with a new Die-to-Die (D2D) interface IP portfolio to serve next-generation chipset based designs for networking, HPC, and AI markets. The D2D p... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — data center, edge, IoT SEMI formed a new standards committee to develop global standards for flexible hybrid electronics (FHE). The SEMI Standards Flexible Hybrid Electronics Global Technical Committee will develop FHE standards for design, materials, manufacturing, packaging and systems and to drive industry growth. IPC is also working on FHE standards as an industry s... » read more

Monitoring Chips After Manufacturing


New regulations and variability of advanced process nodes are forcing chip designers to insert additional capabilities in silicon to help with comprehension, debug, analytics, safety, security, and design optimization. The impact of this will be far-reaching as the industry discusses what capabilities can be shared between these divergent tasks, the amount of silicon area to dedicate to it, ... » read more

Blog Review: Aug. 19


Rambus' Scott Best digs into some of the most sophisticated attacks used to target and compromise security chips, such as laser voltage probing, focused ion beam editing, reverse engineering, and NVM extraction, and ways to counter them. Synopsys' Chris Clark proposes a way to identify problems earlier and better ensure safety and reliability in automotive SoCs by moving from a linear develo... » read more

From Cloud To Cloudlets


Cloudlets, or mini-clouds, are starting to roll out closer to the sources of data in an effort to reduce latency and improve overall processing performance. But as this approach gains steam, it also is creating some new challenges involving data distribution, storage and security. The growing popularity of distributed clouds is a recognition that the cloud model has limitations. Sending the ... » read more

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