Hyperscale And Edge Computing: The What, Where And How


We hear a lot about “edge computing” these days. We are approaching an era in which unfathomable amounts of data are created, which need to be transmitted, stored, processed and made sense of. As we are witnessing never-before-seen scaling in all those domains, the term “hyperscale” computing has been invented. But what about the edge? As it turns out, the definition seems to have chang... » read more

AI & IP In Edge Computing For Faster 5G And The IoT


Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

Huawei: 5G Is About Capacity, Not Speed


Paul Scanlan, CTO of the Huawei Carrier Business Group in Huawei Technologies, sat down with Semiconductor Engineering to talk about 5G, which use cases are attractive and why, and how that compares with previous wireless technologies. SE: Where are you seeing 5G, and how do you see this rolling out both for sub-6GHz and millimeter wave? Scanlan: 5G is a platform for transformation. The f... » read more

The Emergence Of Hardware As A Key Enabler For The Age Of Artificial Intelligence


Over the past few decades, software has been the engine of innovation for countless applications. From PCs to mobile phones, well-defined hardware platforms and instruction set architectures (ISA) have enabled many important advancements across vertical markets. The emergence of abundant-data computing is changing the software-hardware balance in a dramatic way. Diverse AI applications in fa... » read more

Power And Performance Optimization At 7/5/3nm


Semiconductor Engineering sat down to discuss power optimization with Oliver King, CTO at Moortec; João Geada, chief technologist at Ansys; Dino Toffolon, senior vice president of engineering at Synopsys; Bryan Bowyer, director of engineering at Mentor, a Siemens Business; Kiran Burli, senior director of marketing for Arm's Physical Design Group; Kam Kittrell, senior product management group d... » read more

Big Changes In AI Design


Semiconductor Engineering sat down to discuss AI and its move to the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus; Kris Ardis, executive director at Maxim Integrated; Steve Roddy, vice president of Arm's Products Learning Group; and Vinay Mehta, inference technical marketing manager at Flex Logix. What follows are excerpts of that ... » read more

RISC-V Gaining Traction


Part 1: Semiconductor Engineering sat down to discuss where and why RISC-V is doing well, with Zdenek Prikryl, CTO of Codasip; Helena Handschuh, a Rambus Security Technologies fellow; Louie De Luna, director of marketing at Aldec; Shubhodeep Roy Choudhury, CEO of Valtrix Systems; and Bipul Talukdar, North America director of applications engineering at SmartDV. What follows are excerpt of that ... » read more

Memory Access In AI Systems


Memory access is a key consideration in AI system design. Ron Lowman, strategic marketing manager for IP at Synopsys, talks about how memory affects overall power consumption, why partitioning of on-chip and off-chip is so critical to performance and power, and how this changes from the cloud to the edge. » read more

ML Opening New Doors For FPGAs


FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those of more conventional solutions. This opens up a hot new market for FPGAs, which traditionally have been hard to sustain in high-volume production due to pricing, and hard to use for battery-dri... » 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

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