Top Tech Talks Of 2018


2018 shaped up to be a year of transition and inflection, sometimes in the same design. There were new opportunities in automotive, continued difficulties in scaling, and an explosion in AI and machine learning everywhere. Traffic numbers on stories give a snapshot of the most current trends, but with videos those trends are even more apparent because of the time invested in watching those v... » read more

Speedcore Power Estimator User Guide


The Achronix Speedcore Power Estimator tool provides a platform to calculate the power requirements for Achronix Speedcore eFPGAs. This user guide gives a detailed overview of the thermal and power needs depending on the device, environment and utilization of components in the design. Read the Speedcore Power Estimator User Guide (UG073) here. » read more

Week in Review: IoT, Security, Auto


Internet of Things Gartner identified what it says are the top 10 strategic Internet of Things technologies and trends. Number one, no surprise, is artificial intelligence. Nick Jones, research vice president at Gartner, said in a statement, “AI will be applied to a wide range of IoT information, including video, still images, speech, network traffic activity, and sensor data.” Other top t... » read more

Performance Benchmarking Embedded FPGAs


When evaluating the performance of an embedded FPGA, one needs to evaluate the performance of each of the individual modules that make up an FPGA. The basic modules are: Reconfigurable logic building blocks (RBB-Logic), Fine-granularity logic containing LUTs, carry-forwarding adder chain, and flip-flops Reconfigurable DSP building blocks (RBB-DSP), Medium-granularity arith... » read more

Machine Learning Shifts More Work to FPGAs, SoCs


A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

New Deep Learning Processors, Embedded FPGA Technologies, SoC Design Solutions


Some of the most valuable events at DAC are the IP Track sessions, which give small and midsize companies a chance to share innovations that might not get much attention elsewhere. The use of IP in SoCs has exploded in recent years. In a panel at DAC 2017, an industry expert noted that the IP market clearly was growing even faster than EDA itself, due to the fact that more and more chip mak... » read more

Challenges At The Edge


By Kevin Fogarty and Ed Sperling Edge computing is inching toward the mainstream as the tech industry begins grappling with the fact that far too much data will be generated by sensors to send everything back to the cloud for processing. The initial idea behind the IoT/IIoT, as well as other connected devices, was that simple sensors would relay raw data to the cloud for processing throug... » read more

AI: The Next Big Thing


The next big thing isn't actually a thing. It's a set of finely tuned statistical models. But developing, optimizing and utilizing those models, which collectively fit under the umbrella of artificial intelligence, will require some of the most advanced semiconductors ever developed. The demand for artificial intelligence is almost ubiquitous. As with all "next big things," it is a horizonta... » read more

Reflection On 2017: Design And EDA


People love to make predictions, and most of the time they have it easy, but at Semiconductor Engineering, we ask them to look back on the predictions they make each year and to assess how close to the mark they were. We see what they missed and what surprised them. Not everyone accepts our offer to grade themselves, but most have this year. (Part one looked at the predictions associated with s... » read more

Preparing For Bigger Changes Ahead


The semiconductor industry has undergone a fundamental shift over the past year, and it's one that will redefine chipmaking over the next decade or more. While the focus is still on building the fastest, lowest-power devices, whether that's by shrinking features or packaging them into blazing-fast 2.5D or fan-out configurations, these devices are being customized for specific use cases much ... » read more

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