Week in Review – IoT, Security, Auto


Products/Services Arteris IP reports Achronix Semiconductor licensed the Arteris FlexNoC interconnect IP for its new Speedster7t line of FPGAs. Speedster7t features ASIC-like performance, FPGA adaptability, and enhanced functionality to streamline design. "Our new Speedster7t FPGA family requires extremely high on-chip bandwidth and advanced dataflow arbitration to make possible ASIC-class mac... » read more

AiMotive Is EDA For Self-Driving Cars


The team at aiMotive, a tool and IP company for OEMs making automated vehicles, isn’t waiting for smart infrastructure or 5G to make self-driving cars possible. The four-year-old startup based in Budapest, Hungary, is taking a self-sustainable route for the foreseeable future. The key to staying in business is not to compete with Waymo, Cruise or automotive companies, but to build the softwar... » read more

Week in Review: IoT, Security, Auto


Products/Services Mentor, a Siemens Business, announced the release of the final phase of the Valor software New Product Introduction design-for-manufacturing technology, automating printed circuit board design reviews. The company has integrated DFM technology into the Xpedition software layout application. Arteris IP reports that Toshiba has taped out its next-generation advanced driv... » read more

BiST Grows Up In Automotive


Test concepts and methods that have been used for many years in traditional semiconductor and SoC design are now being leveraged for automotive chips, but they need to be adapted and upgraded to enable monitoring of advanced automotive systems during operation of a vehicle. Automotive and safety critical designs have very high quality, reliability, and safety requirements, which pairs pe... » read more

Disregard Safety And Security At Your Own Peril


Semiconductor Engineering sat down to discuss industry attitudes towards safety and security with Dave Kelf, chief marketing officer for Breker Verification; Jacob Wiltgen, solutions architect for functional safety at Mentor, a Siemens Business; David Landoll, solutions architect for OneSpin Solutions; Dennis Ciplickas, vice president of characterization solutions at PDF Solutions; Andrew Dauma... » read more

5G Design Changes


Mike Fitton, senior director of strategic planning at Achronix, talks with Semiconductor Engineering about the two distinct parts of 5G deployment, how to get a huge amount of data from the core to the edge of a device where it is usable, and how a network on chip can improve the flow of data. » read more

Week in Review: IoT, Security, Auto


Products/Services Achronix Semiconductor selected the Rambus GDDR6 PHY for its next-generation Speedster7t line of field-programmable gate arrays. The Rambus GDDR6 PHY is used in advanced driver-assistance systems, artificial intelligence, graphics, machine learning, and networking applications. Arm and Marvell Technology Group will work together on design and development of Marvell’s nex... » read more

Algorithms And Security


From a security standpoint, the best thing AI has going for it is that it's in a state of perpetual change. That also may be the worst thing. The problem, at least for now, is that no one knows for sure. What’s clear is that security is not a primary concern when it comes to designing and building AI systems. In many cases it’s not even an action item because architectures are constantly... » read more

Artificial Intelligence: Let Us Get The Math Right First!


Artificial intelligence is a hot topic these days and therefore doesn’t require a repeat of the current and future potential uses for AI. For most people, it means technology advancements on the software side. But if you ask people who are very close to this technology domain, building your own optimized hardware chips is where a significant part of the competitive edge lies. A few days ba... » read more

Do Large Batches Always Improve Neural Network Throughput?


Common benchmarks like ResNet-50 generally have much higher throughput with large batch sizes than with batch size =1. For example, the Nvidia Tesla T4 has 4x the throughput at batch=32 than when it is processing in batch=1 mode. Of course, larger batch sizes have a tradeoff: latency increases which may be undesirable in real-time applications. Why do larger batches increase throughput... » read more

← Older posts Newer posts →