The Data Crisis is Unfolding – Are We Ready?

The Data Crisis is Unfolding – Are We Ready?
by Kalar Rajendiran on 04-09-2024 at 6:00 am

Global Data Sphere for Healthcare Data

The rapid advancement of technology, including generative AI, IoT, and autonomous vehicles, is revolutionizing industries and enhancing efficiency. At the same time, such advances also generate huge amounts of data to be transmitted and processed to make sense and provide value to consumers and society as a whole. In essence,… Read More


Real-Time AI-driven Image Signal Processing with Reduced Memory Footprint and Processing Latency

Real-Time AI-driven Image Signal Processing with Reduced Memory Footprint and Processing Latency
by Kalar Rajendiran on 05-31-2023 at 10:00 am

AI ISP for Automotive, Low Light Image Enhancement

In our day to day lives, we all benefit from image signal processing (ISP), whether everyone realizes it or not. ISP is the technique of processing image data captured by an imaging device. It involves a series of algorithms that transform raw image data into a usable image by correcting for distortions, removing noise, adjusting… Read More


Quantifying the Benefits of AI in Edge Computing

Quantifying the Benefits of AI in Edge Computing
by Bernard Murphy on 07-21-2020 at 6:00 am

Architectures for Edge computing

Many of us are now somewhat fluent in IoT-speak, though at times I have to wonder if I’m really up on the latest terminology. Between edge and extreme edge, fog and cloud, not to mention emerging hierarchies in radio access networks – how this all plays out is going to be an interesting game to watch. Ron Lowman, DesignWare IP Product… Read More


Does the G in GDDR6 stand for Goldilocks?

Does the G in GDDR6 stand for Goldilocks?
by Tom Simon on 10-16-2018 at 12:00 pm

In the wake of TSMC’s recent Open Innovation Platform event, I spoke to Frank Ferro, Senior Director of Product Management at Rambus. His presentation on advanced memory interfaces for high-performance systems helped to shed some light on the evolution of system memory for leading edge applications. System implementers now… Read More


The Robots are Coming!

The Robots are Coming!
by Bernard Murphy on 08-30-2018 at 7:00 am

Moshe Sheier, VP Marketing at CEVA, recently got back from MWC Shanghai and commented that robots are clearly trending. He saw hordes of robots from dozens of companies, begging for someone to brand and offer them in any one of many possible applications: in an airport to guide you to a connecting flight, for elder care, in hospitals… Read More


Optimizing memory scheduling at integration-level

Optimizing memory scheduling at integration-level
by Don Dingee on 04-04-2016 at 4:00 pm

In our previous post on SoC memory resource planning, we shared 4 goals for a solution: optimize utilization and QoS, balance traffic across consumers and channels, eliminate performance loss from ordering dependencies, and analyze and understand tradeoffs. Let’s look at details on how Sonics is achieving this.… Read More


How to handle petabyte-scale traffic growth?

How to handle petabyte-scale traffic growth?
by Eric Esteve on 02-21-2016 at 12:00 pm

If you search the web for IP traffic growth, you will find many graphics, but the common result is that IP traffic is growing with high CAGR for many years and will again continue to grow with such high CAGR for the next five years. For example the global mobile data traffic is expected to grow with 53% CAGR 2015-2020… even if the smartphone… Read More


New CEVA X baseband architecture takes on multi-RAT

New CEVA X baseband architecture takes on multi-RAT
by Don Dingee on 02-18-2016 at 4:00 pm

What we think of as a “baseband processor” for cellular networks is often comprised of multiple cores. Anecdotes suggest to handle the different signal processing requirements for 2G, 3G, and 4G networks, some SoC designs use three different DSPs plus a control processor such as an ARM core. That’s nuts. What is the point of having… Read More


Submerging the Data Center

Submerging the Data Center
by Eric Esteve on 02-02-2016 at 4:00 pm

One of NetSpeed’s customers is a Tier-1 semiconductor company that develops some of the industry’s best performing and most complex system on chips (SoC) for the data center and cloud computing markets. To keep its leadership in the data center market, the company needs to produce best-in-class SoC solutions year after year. … Read More


New CoreLink IP ties in mobile GPU coherently

New CoreLink IP ties in mobile GPU coherently
by Don Dingee on 10-29-2015 at 7:00 am

A mobile GPU is an expensive piece of SoC real estate in terms of footprint and power consumption, but critical to meeting user experience demands. GPU IP tuned for OpenGL ES is now a staple in high performance mobile devices, rendering polygons with shading and texture compression at impressive speeds.

Creative minds in the desktop… Read More