Blog Review: Nov. 18


Arm's Roberto Lopez Mendez finds that holographic displays can now be achieved on mobile processors thanks to recent algorithmic and computational advances. Mentor's Colin Walls examines the reasons the consolidate a number of automotive sub-systems onto a smaller number of powerful ECU to reduce complexity and increase system reliability. Cadence's Paul McLellan takes a look at the devel... » read more

Manufacturing Bits: Nov. 17


Intel’s gate-all-around FETs At the upcoming IEEE International Electron Devices Meeting (IEDM), Intel is expected to present papers on its efforts to develop gate-all-around transistors. One paper from Intel describes a more conventional gate-all-around transistor technology called a nanosheet FET. Another paper involves a next-generation NMOS-on-PMOS nanoribbon transistor technology. (F... » read more

Disaggregation And Smarter Chips Shift Liability For Security


Semiconductor Engineering sat down to discuss security on chips with Vic Kulkarni, vice president and chief strategist at Ansys; Jason Oberg, CTO and co-founder of Tortuga Logic; Pamela Norton, CEO and founder of Borsetta; Ron Perez, fellow and technical lead for security architecture at Intel; and Tim Whitfield, vice president of strategy at Arm. What follows are excerpts of that conversation,... » read more

The Next Big Leap: Energy Optimization


The relationship between power and energy is technically simple, but its implication on the EDA flow is enormous. There are no tools or flows today that allow you to analyze, implement, and optimize a design for energy consumption, and getting to that point will require a paradigm shift within the semiconductor industry. The industry talks a lot about power, and power may have become a more ... » read more

Building Billions Of Batteryless Devices


Later this month, Arm will celebrate its 30 year anniversary and the engineering milestones that have resulted in more than 180 billion Arm-based chips being shipped in everything from sensors to smartphones to the world’s fastest supercomputer. In each of these cases, much of Arm’s success has been in our dedication to delivering the highest performance per watt. But while Arm may ha... » read more

Designs Beyond The Reticle Limit


Designs continue to grow in size and complexity, but today they are reaching both physical and economic challenges. These challenges are causing a reversal of the integration trend that has provided much of the performance and power gains over the past couple of decades. The industry, far from giving up, is exploring new ways to enable designs to go beyond the reticle size, which is around 8... » read more

Difficult Memory Choices In AI Systems


The number of memory choices and architectures is exploding, driven by the rapid evolution in AI and machine learning chips being designed for a wide range of very different end markets and systems. Models for some of these systems can range in size from 10 billion to 100 billion parameters, and they can vary greatly from one chip or application to the next. Neural network training and infer... » read more

Arm Goes For Performance


At the recent Linley Processor Conference, Arm presented two processors. This was regarded as so confidential that the original pre-conference version of the presentations didn't contain the Arm one, even though that pdf was only put online about an hour before. But most of the outline of what they presented they already talked about in May, a few months ago. I said recently that this seem... » read more

Blog Review: Nov. 11


Mentor's Chris Spear proposes mixing together the compactness of the field macro style with the preciseness of the do methods when writing a UVM transaction class. Cadence's Paul McLellan looks back at the history of EPROM, some of the difficulty with actually erasing it, and the subsequent development of EEPROM. Synopsys' Tuomo Untinen explains three WPA2 authentication vulnerabilities r... » read more

Deploying Accurate Always-On Face Unlock


Accurate face verification has long been considered a challenge due to the number of variables, ranging from lighting to pose and facial expression. This white paper looks at a new approach — combining classic and modern machine learning (deep learning) techniques — that achieves 98.36% accuracy, running efficiently on Arm ML-optimized platforms, and addressing key security issues such a... » read more

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