Machine learning is once again taking center stage in this week’s Fish Fry podcast! Rod Metcalfe (Cadence Design Systems) joins me to discuss the role of machine learning in the future of chip design, why implementation teams are having a hard time keeping up with today’s advanced node designs, and how advancements in computer science are helping usher in a new age of intelligent … Read More → "Machine Learning and The New Age of Intelligent Chip Design"
If you are a hardware design engineer, you are doubtless familiar with the concept of formal verification as it applies to hardware design, but have you ever considered how formal verification might relate to software and the developers thereof (bless their little cotton socks)?
Life can be a rum old thing, and no mistake. When it comes to formal verification, … Read More → "If You Can’t Trust TrustInSoft, Who Can You Trust?"
I was just chatting with the chaps and chapesses at Testonica. These little scamps offer a wide range of services, including test and measurement (T&M) and design for test (DFT) analysis, FPGA-based development, embedded software development, and electronics hardware design. The thing that really caught my … Read More → "Got FPGA? Got Test!"
For decades, FPGA companies have been bragging about how their devices can be used to accelerate all sorts of compute-intensive functions, and they have built a large market for themselves convincing design teams that they can handle the toughest problems with aplomb – speeding up execution and reducing power demands.
“Hey!” said this one guy in the back.”How come you … Read More → "Xilinx Brings AI to FPGA EDA"
Just to make sure I have your attention, let’s start with the conclusion and then I’ll tell you how we got there. Is that OK with you? Good. In that case, the conclusion is that the clever folks at CacheQ have come up with a cunning solution that can take your regular single-threaded C/C++ code and compile it in such a way as … Read More → "Accelerating C/C++ Without Tears or Tribulations"
What would a Friday be without a deep dive into digital signal processing for computer vision and AI? In this week’s Fish Fry podcast, Pulin Desai (Cadence Design Systems) joins me to discuss the need for increased speed in computer vision algorithms today, the unique processing requirements for sensor fusion, 3D capture, always-on systems, and the details of Cadence’s new Vision Q8 and Vision P1 DSPs. Also this week, I take a closer look at a new research study at the University of Gothenburg that contends that machine learning may be the key to finding effective testing methods during epidemic outbreaks. …
Read More → "Let’s Get Speedy! Digital Signal Processing for Always-On Systems, Sensor Fusion and Computer Vision"
