High Level Synthesis Update

High Level Synthesis Update
by Tom Dillinger on 06-29-2016 at 7:00 am

High-level synthesis (HLS) involves the generation of an RTL hardware model from a C/C++/SystemC description. The C code is typically referred to as abehavioraloralgorithmicmodel. The C language constructs and semantics available to architects enable efficient and concise coding – the code itself is smaller, easier to write/read,… Read More


Network generator embeds TensorFlow, more CNNs

Network generator embeds TensorFlow, more CNNs
by Don Dingee on 06-27-2016 at 4:00 pm

Research on deep learning and convolutional neural networks (CNNs) is on the rise – and embedding new algorithms is drawing more attention. At CVPR 2016, CEVA is launching their 2[SUP]nd[/SUP] generation Deep Neural Network (CDNN2) software with new support for Google TensorFlow.… Read More


TMR approaches should vary by FPGA type

TMR approaches should vary by FPGA type
by Don Dingee on 06-20-2016 at 4:00 pm

We’ve introduced the concepts behind triple modular redundancy (TMR) before, using built-in capability in Synopsys Synplify Premier to synthesize TMR circuitry into FPGAs automatically. A recent white paper authored by Angela Sutton revisits the subject… Read More


Bringing Human-Like Intelligent Vision Processing to Low-Power Embedded Systems

Bringing Human-Like Intelligent Vision Processing to Low-Power Embedded Systems
by Daniel Nenni on 05-31-2016 at 12:00 pm

Semiconductor IP has always been one of the most interesting topics on SemiWiki. Since going online in January of 2011 there have been a total of 592 IP related blogs that have been viewed 2,581,118 times. 79 of those blogs have been about CEVA, the number one licensor of digital signal processing (DSP) IP for a wide range of power-efficient,… Read More


Google TPU Another Step in a Shifting Semiconductor Landscape

Google TPU Another Step in a Shifting Semiconductor Landscape
by Bernard Murphy on 05-22-2016 at 4:00 pm

Markets work when consumers of a widget don’t feel there is significant differentiated value in making their own and would rather get lowest possible cost from experienced widget makers who can amortize their investment over high-volume sales to many customers. But that changes when a large consumer finds they can increase differentiated… Read More


Deep Learning and Security

Deep Learning and Security
by Bernard Murphy on 05-10-2016 at 7:00 am

Deep learning based on neural nets is most commonly thought of as a very promising approach to scene recognition, text recognition and similar areas. Now there is increasing interest in applying this technology to security objectives. There were a number of papers on this topic in a 2015 BlackHat conference and there are several… Read More


Neural Networks Poised to Make Big Changes in Our World

Neural Networks Poised to Make Big Changes in Our World
by Tom Simon on 04-11-2016 at 12:00 pm

Probably the most interesting thing about Neural Networks is how they can be used for complex recognition tasks that we as people can easily perform but we might have a lot of trouble explaining how. One very good example of a problem that Neural Networks can tackle is determining when people are making a fake smile. Intuitively we… Read More


How to Make Smartphone Even Smarter? With Deep Learning

How to Make Smartphone Even Smarter? With Deep Learning
by Majeed Ahmad on 10-26-2015 at 7:00 am

The IT industry marvels like augmented reality and artificial intelligence, which marked technological utopianism in the science fiction movies during the 1970s and 1980s, are here now, enabled by a machine-learning technique called deep learning.… Read More