Simplifying And Speeding Up Verification


Semiconductor Engineering sat down to discuss what's ahead for verification with Daniel Schostak, Arm fellow and verification architect; Ty Garibay, vice president of hardware engineering at Mythic; Balachandran Rajendran, CTO at Dell EMC; Saad Godil, director of applied deep learning research at Nvidia; Nasr Ullah, senior director of performance architecture at SiFive. What follows are excerpt... » read more

3 Challenges In Edge Designs


As companies begin exploring what will be necessary to win at the edge, they are coming up with some daunting challenges. Designing chips for the edge is far different than for the IoT/IIoT. The idea with the IoT was that simple sensors would relay data through a gateway to the cloud, where it would be processed and data could be sent back to the device as needed. That works if it's a small ... » read more

Week In Review: Auto, Security, Pervasive Computing


Edge, cloud, data center Programmable logic company Efinix used Cadence’s Digital Full Flow to finish Efinix’s Trion FPGA family for edge computing, AI/ML and vision processing applications, according to a press release. Last week Efinix also announced three software defined SoCs based on the RISC-V core. The SoCs are optimized to the Trion FPGAs. AI, machine learning Amazon will tempo... » read more

AI, 5G, IoT Combine In The Fifth Wave Of Computing


Something hugely positive is happening as a result of AI, 5G and the Internet of Things (IoT) reaching maturity at the same time. Like three kids growing up together, these technologies are feeding off each other’s energy and enhancing each other’s impact on the world. It’s this union, far greater than the sum of its parts, that I call the Fifth Wave of Computing. Why the fifth? We�... » read more

Startup Funding: May 2020


It was a good month for semiconductor startups, with investment spanning a larger company in later funding rounds to brand new seed funding for two chip manufacturing startups. Two AI hardware startups bridge data center and edge, plus EV companies around the world get funding. In total, the eighteen startups profiled this month raised $446.3 million. Semiconductor & design Shanghai-based ... » read more

Designing The Next Big Things


The edge is a humongous opportunity for the semiconductor industry. The problem, despite its name, is that it's not a single thing. It will be comprised of thousands of different chips and systems, and very few will be sold in large volumes. The edge is the culmination of decades of improvement in power and performance, coupled with the architectural creativity that has exploded since the bene... » read more

AI Drives A New Wave For Semiconductors


In Cadence's recent earnings call, Lip-Bu Tan, our CEO, talked about the five waves that are hitting us simultaneously. Here's what he said: First of all, I'm excited about this industry, because it's very unusual to have five major waves happening at the same time. You have the AI machine learning wave and you have 5G is starting to deploy and then you have the hyperscale guy, the really mas... » read more

Hardware Security For AI Accelerators


Dedicated accelerator hardware for artificial intelligence and machine learning (AI/ML) algorithms are increasingly prevalent in data centers and endpoint devices. These accelerators handle valuable data and models, and face a growing threat landscape putting AI/ML assets at risk. Using fundamental cryptographic security techniques performed by a hardware root of trust can safeguard these as... » read more

(Artificially) Intelligent Verification


Functional verification produces a lot of data, , but does that make it suitable for Artificial Intelligence (AI) or Machine Learning (ML)? Experts weigh in about where and how AI can help and what the industry could do to improve the benefits. "It's not necessarily the quantity," says Harry Foster, chief scientist for verification at Mentor, a Siemens Business. "It's the quality that matter... » read more

An Eye For An AI


AI comes in multiple forms and flavors. The challenge is choosing the right one for the right purpose, and recognizing that just because AI can be applied to a particular process or problem doesn't mean it should be. While AI has been billed as a ideal solution for just about every problem, there are three primary requirements for a successful application. First, there needs to be sufficient q... » read more

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