Automotive engineers are familiar with the ISO 26262 standard, as it defines a process for developing functional safety in electronic systems, where human safety is preserved as all of the electronic components are operating correctly and reliably. Automotive electronics have now grown to cover dozens of applications, and… Read More
It’s popular to use DSP chips for vision processing in diverse applications like ADAS, security cameras and AR. Tensilica has been designing DSP chips and IP since 1997, and their technology was successful enough that Cadence acquired Tensilica back in 2013. At the IP-SoC Silicon Valley 2022 event in April I had the pleasure… Read More
The Linley spring conference this year had a significant focus on AI at the edge, with all that implies. Low power/energy is a key consideration, though increasing performance demands for some applications are making this more challenging. David Bell (Product Marketing at Tensilica, Cadence) presented the Tensilica NNE110… Read More
Earbuds are one of the fastest growing market segments, which is creating the need for audio DSPs with higher performance and a smaller energy footprint. More than just being wireless speakers – earbuds, and wearables for that matter, have become a sophisticated extension of the user interface of phones and laptops, etc.… Read More
Power and Energy Optimization Using Tensilica IP
November 17, 2021
Overview
Design teams are facing the challenges of having to add more and more processing and programmable capabilities in their SoC in order to adapt and implement the latest and greatest algorithms during the lifecycle of their products, but at the same time
During his keynote address at the CadenceLIVE 2021 conference, CEO Lip-Bu Tan made some market trend comments. He observed that most of the data nowadays is generated at the edge but only 20% is processed there. He predicted that by 2030, 80% of data is expected to be processed at the edge. And most of this 80% will be processed on edge… Read More
Being engrossed in the digital information world, it is easy to forget that the real world is comprised of mostly analog signals and data. Digital Signal Processors (DSP) take digitized forms of these worldly signals and manipulate them mathematically. Although floating-point is a more relevant and accurate way of representing… Read More
In all the hubbub about AI/ML, it’s easy to see why visual ML gets more attention. It’s got appeal because of applications such as autonomous driving. Because of this it’s easy to overlook the importance of audio ML. I own a Tesla and putting it into autopilot is very cool, but even it has voice recognition built in as an important feature… Read More
I wrote about Cadence AI IP not long ago when I covered the Cadence Automotive Summit at the end of July (Tensilica DNA 100 Brings the AI Inference Solution for Level 2 ADAS ECUs and Level 4 Autonomous Driving, Tensilica HiFi DSPs for What I Want to Hear, and What I Don’t Want to Hear). One of those two blogs remains one of my most widely … Read More
I recently wrote about Tensilica’s HiFi DSPs which played a significant role at Cadence’s Automotive Design Summit which was held on the Cadence San Jose campus at the end of July. That article focused on infotainment while briefly touching on Advanced Driver-Assistance Systems (ADAS). ADAS is NOT synonymous with autopilot.… Read More
