All Things Semiconductor!
Virtualizing 5G Infrastructure VerificationMentor have pushed the advantages of virtualized verification…Read More
Optimizing high performance packages calls for multidisciplinary 3D modelingFor all the time we spend thinking and…Read More
Automating Timing Arc Prediction for AMS IP using MLNVIDIA designs some of the most complex chips…Read More
Cadence and Green Hills Share More Security Thoughts at ARM TechconOn Wednesday, October 9, 2019, I had the…Read More
Formal in the Field: Users are Getting More SophisticatedBuilding on an old chestnut, if sufficiently advanced…Read More
eSilicon recently released a paper detailing its experiences and its thoughts on the future of chiplets. The author of the white paper is Dr. Carlos Macián. I have also covered a presentation given by Carlos recently at the AI Hardware Summit, and he is well-spoken and quite knowledgeable. To get the white paper, go to the eSilicon… Read More
Mentor have pushed the advantages of virtualized verification in a number of domains, initially in verifying advanced networking devices supporting multiple protocols and software-defined networking (SDN), and more recently for SSD controllers, particularly in large storage systems for data centers. There are two important… Read More
For all the time we spend thinking and talking about silicon design, it’s easy to forget just how important package design is. Semiconductor packages have evolved over the years from very basic containers for ICs into very specialized and highly engineered elements of finished electronic systems. They play an important role … Read More
NVIDIA designs some of the most complex chips for GPU and AI applications these days, with SoCs exceeding 21 billion transistors. They certainly know how to push the limits of all EDA tools, and they have a strong motivation to automate more manual tasks in order to quicken their time to market. I missed their Designer/IP Track Poster… Read More
On Wednesday, October 9, 2019, I had the pleasure of spending the day at ARM Techcon at the San Jose Convention Center. In the morning, in addition to getting some sneak peeks into the exhibitor area, I attended some of the morning keynote presentations, which focused on artificial intelligence (AI) and machine learning (ML) topics.… Read More
Building on an old chestnut, if sufficiently advanced technology looks like magic, there are a number of technology users who are increasingly looking like magicians. Of course when it comes to formal, neither is magical, just very clever. The technology continues to advance and so do the users in their application of those methods.… Read More
FPGAs have always been a great way to add performance to a system. They are capable of parallel processing and have the added bonus of reprogramability. Achronix has helped boost their utility by offering on-chip embedded FPGA fabric for integration into SoCs. This has had the effect of boosting data rates through these systems… Read More
One of the reasons I founded SemiWiki nine years ago was the lack of EDA, IP and Foundry content in the media. The problem is that unless you work in the industry it is very difficult to write about it in competent technical detail. Most media outlets only know what vendors tell them which is how the semiconductor industry worked before… Read More
Lam Research (NASDAQ:LRCX) will announce its quarterly earnings on October 23, 2019, and Applied Materials (NASDAQ:AMAT) the following month on November 14, 2019. Both companies make equipment used to manufacture semiconductor devices. While private and institutional investors often own both individual stocks, this article… Read More
Automotive makers and their suppliers are jacking up the processing power being introduced to cars along with higher speed wireless external connections. These high speed systems promise to collect, process, interpret and transmit sensor data for the purpose of enabling advanced collision avoidance and, ultimately, automated
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Achronix: Accelerate Data Processing Algorithms using FPGAs with 2D Network-on-Chip
PAVE360: Of SoCs, Digital Twins, and Validating Autonomous Vehicle Behavior
Thermal-induced Reliability Challenges and Solutions for Advanced IC Design
Choose the Right ASIC Manufacturing Model for Your Business
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Achronix: Accelerate Data Processing Algorithms using FPGAs with 2D Network-on-Chip
PAVE360: Of SoCs, Digital Twins, and Validating Autonomous Vehicle Behavior
Thermal-induced Reliability Challenges and Solutions for Advanced IC Design
Choose the Right ASIC Manufacturing Model for Your Business
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better_recent_comments-2
Widget_Better_Recent_Comments Instance: 2Array
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Widget_Better_Recent_Comments
Safety and Platform-Based Design