MIPI In Next Generation Of AI IoT Devices At The Edge


The history of data processing begins in the 1960’s with centralized on-site mainframes that later evolved into distributed client servers. In the beginning of this century, centralized cloud computing became attractive and began to gain momentum becoming one of the most popular computing tools today. In recent years however, we have seen an increase in the demand for processing... » read more

EDA Gaps At The Leading Edge


Semiconductor Engineering sat down to discuss why new approaches are required for heterogeneous designs, with Bari Biswas, senior vice president for the Silicon Realization Group at Synopsys; John Lee, general manager and vice president of the Ansys Semiconductor business unit; Michael Jackson, corporate vice president for R&D at Cadence; Prashant Varshney, head of product for Microsoft Azu... » read more

Manufacturing Shifts To AI Of Things


AI is being infused into the Internet of Things, setting the stage for significant improvements in manufacturing productivity, improved uptime, and reduced costs — regardless of market segment. The traditional approach to improving manufacturing equipment reliability and efficiency is regular scheduled maintenance. While that is an improvement over just fixing or replacing equipment when i... » read more

Rocky Road To Designing Chips In The Cloud


EDA is moving to the cloud in fits and starts as tool vendors sort out complex financial models and tradeoffs while recognizing a potentially big new opportunity to provide unlimited processing capacity using a pay-as-you-go approach. By all accounts, a tremendous amount of tire-kicking is happening now as EDA vendors and users delve into the how and why of moving to the cloud for chip desig... » read more

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud


SOURCE: Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang(Tsinghua University, Beijing, China).  Published on arXiv:2003.12101 [cs.DC])   ABSTRACT: "FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accel... » read more

Power Packaging Trends And The 48V Ecosystem


With each passing year, emerging growth application areas such as automotive, cloud computing, industrial automation, and telecom (5G) infrastructure are garnering more attention. Although the application segments are different, there is a commonality in how voltage conversion and power distribution are achieved at the system level. System demands are becoming more important to reduce an effe... » read more

Thinking Way, Way Outside The Box


The COVID-19 High Performance Computing Consortium has set records for global cooperation by giant companies, universities and various federal agencies and national laboratories. But it also may have cracked opened a door for much more than that. Until now, there has been a massive race for dominance in the data center. Big companies have gotten rich on data, building infrastructure at a col... » read more

Week in Review – IoT, Security, Autos


Products/Services Achronix Semiconductor joined Taiwan Semiconductor Manufacturing’s IP Alliance Program, part of the foundry’s Open Innovation Platform. Achronix’s Speedcore eFPGA IP is available today on TSMC 16nm FinFET Plus (16FF+) and N7 process technologies, and it will be soon available on TSMC 12nm FinFET Compact Technology (12FFC). Cadence Design Systems announced that its di... » read more

Week in Review: IoT, Security, Autos


Products/Services Synopsys agreed to acquire QTronic, a German company specializing in simulation, test tools, and services for automotive software and systems development. The transaction is expected to close in the fourth quarter of the company’s 2019 fiscal year. “The terms of the deal, which is not material to Synopsys financials, are not being disclosed,” Synopsys said in a statemen... » read more

More Semiconductor Data Moving To Cloud


The cloud is booming. After years of steady growth it has begun to spike, creating new options for design, test, analytics and AI, all of which have an impact on every segment of the semiconductor industry. The initial idea behind the cloud is that it would supplement processing done on premises, adding extra processing power wherever necessary, such as in the verification and debug stages o... » read more

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