AI is revolutionizing and transforming virtually every industry in the digital world. Advances in computing power and deep learning have enabled AI to reach a tipping point toward major disruption and rapid advancement. However, these applications require much higher performance and bandwidth requiring new kinds of IP and… Read More
Semiconductor Intellectual Property
Low Cost Power NB-IoT Solution? Fusion F1 DSP based Modem!
Supporting NB-IoT requires low cost (optimized silicon footprint) and ultra-low power solution to cope with IoT device requirement. Cadence Fusion F1 DSP IP has been integrated in modem IC by two new customers, Xinyi and Rafael, gaining traction in NB-IoT market. These design-win builds on previous momentum: software GPS solution… Read More
Optimization and Reliability for FinFET designs at #55DAC
TSMC is the leading foundry worldwide and they make a big splash each year at the DAC exhibit and conference, so I stopped by their theatre area during the presentation from IP vendor Moortec to see what’s new this year. Stephen Crosher was the presenter from Moortec and we had exchanged emails before, so this was the first time… Read More
Keeping Pace With 5nm Heartbeat
A Phase-Locked Loop (PLL) gives design a heartbeat. Despite its minute footprint, it has many purposes such as being part of the clock generation circuits, on-chip digital temperature sensor, process control monitoring in the scribe-line or as baseline circuitry to facilitate an effective measurement of the design’s power… Read More
Maximize Bandwidth in your Massively Parallel AI SoCs?
Artificial Intelligence is one of the most talked about topics on the conference circuit this year and I don’t expect that to change anytime soon. AI is also one of the trending topics on SemiWiki with organic search bringing us a wealth of new viewers. You may also have noticed that AI is a hot topic for webinars like the one I am writing… Read More
A Last-Level Cache for SoCs
We tend to think of cache primarily as an adjunct to processors to improve performance. Reading and writing main memory (DRAM) is very slow thanks to all the package and board impedance between chips. If you can fetch blocks of contiguous memory from the DRAM to a local on-chip memory, locality of reference in most code ensures much… Read More
Machine Learning and Embedded FPGA IP
Machine learning-based applications have become prevalent across consumer, medical, and automotive markets. Still, the underlying architecture(s) and implementations are evolving rapidly, to best fit the throughput, latency, and power efficiency requirements of an ever increasing application space. Although ML is … Read More
Drop-In Security for IoT Edge Devices
You’re excited about the business potential for your cool new baby monitor, geo-fenced kid’s watch, home security system or whatever breakthrough app you want to build. You want to focus on the capabilities of the system, connecting it to the cloud and your marketing rollout plan. Then someone asks whether your system is architected… Read More
SiFive Unveils E2 Core IP Series for Smallest, Lowest Power RISC-V Designs
Fully configurable with advanced feature sets allows for broad applications, including microcontrollers, IoT, wearables, and smart cards
The E20 and E21 add to the growing list of SiFive RISC-V cores addressing the embedded controller, IoT, wearables, smart toys. On June 25, DAC opening day, SiFive announced the availability… Read More
Liberate Trio Embraces ML and Cloud
A chain is as strong as its weakest link. This phrase resonates well in Static Timing Analysis (STA) domain, though it is about accuracy rather than durability. As timing signoff step provides the final performance readings of a design, an STA outcome is as good as its underlying components. Aside from the parasitic extraction … Read More


RISC-V and AI: The Architecture Shift Is Now