Edge devices of all types are getting smarter, with the ability to listen to us, understand our gestures, and even recognize us. This intelligence comes from the inferencing capabilities of deep neural networks. Inferencing is compute intensive and can easily overwhelm embedded processors or the limited power budgets… Read More
With the growth in computing at the edge driven by the explosion of battery-powered smart devices, designing for low power is mission-critical to product success. Numerous techniques, spanning all stages of design, are employed to reduce power. Since many of the low-power design techniques come at a cost in performance, the … Read More
I’ve talked before about how Defacto provides a platform for scripted RTL assembly. Kind of a rethink of the IP-XACT concept but without need to get into XML (it works directly with SV), and with a more relaxed approach in which you decide what you want to automate and how you want to script it.
They’re hosting a webinar on May 28th 10-11am… Read More
Synopsys recently unleashed Fusion Compiler™, a new RTL-to-GDSII product that enables a data-driven design implementation by revamping Design Compiler architecture and leveraging the successful Fusion Technology –seamlessly fusing the logical and physical realms to produce predictable QoR. It is a long-awaited… Read More
I’m on a mini-roll on the subject of high-level design for ML-based systems. No complaints from me, this is one of my favorite domains and is certainly a hot area; it’s great to that EDA vendors are so active in advancing ML-based design. Here I want to talk about the Catapult HLS flow for use in ML design.
Since I’ve covered the ML topic… Read More
I am sure there are many FPGA designers who are quite content to rely on hardware vendor tools to define, check, implement and burn their FPGAs, and who prefer to test in-system to validate functionality. But that approach is unlikely to work when you’re building on the big SoC platforms – Zynq, Arria and even the big non-SoC devices.… Read More
This is part II of an article covering NetSpeed’s network-on-chip (NoC) offerings. This article dives a little deeper into what a NoC is and how NetSpeed’s network synthesis tool, NocStudio, helps system architects optimize a NoC for their system-on-a-chip (SoC) design.
Traditionally IC designers have used proprietary buses,… Read More
A couple of weeks back I wrote an article about the use of machine learning and deep neural networks in self-driving cars. Now I find that machine learning is also being applied to help build advanced end-to-end QoS (quality of service) solutions for the automotive IC market. With the advent of self-driving cars comes requirements… Read More
Teams buy HDL simulation for best bang for the buck. Teams buy hardware emulation for the speed. We’ve talked previously about SCE-MI transactors as a standardized vehicle to connect the two approaches to get the benefits of both in an accelerated testbench – what else should be accounted for?… Read More