CCIX Enables Machine Learning


It takes a lot of technology to enable something like machine learning, and not all of it is as glamorous as neural network architectures and algorithms. Several levels below that is the actual hardware on which these run, and that brings us into the even less sexy world of interfaces. One such interface, the Cache Coherent Interconnect for Accelerators (CCIX), pronounced C6, aims to make th... » read more

Toward Better Accelerators


In the not-too-distant past, the standard mobile application processor architecture was the predominant one used for most System-on-Chip (SoC) designs, but that is rapidly changing as new systems and applications emerge in the post-mobile computing era. New requirements for autonomous driving are motivating technology innovations: Visual processing, deep neural networks and machine learning pla... » read more

Custom Hardware Thriving


In the early days of the IoT, predictions about the commoditization of hardware and the end of customized hardware were everywhere. Several years later, those predictions are being proven wrong. Off-the-shelf components have not replaced customized hardware, and software has not dictated all designs. In fact, in many cases the exact opposite has happened. And where software does play an elev... » read more

What Can Go Wrong In Automotive


Semiconductor Engineering sat down to discuss automotive engineering with Jinesh Jain, supervisor for advanced architectures in Ford’s Research and Innovation Center in Palo Alto; Raed Shatara, market development for automotive infotainment at [getentity id="22331" comment="STMicroelectronics"]; Joe Hupcey, verification product technologist at [getentity id="22017" e_name="Mentor Graphics"]; ... » read more

Overcoming The Limits Of Scaling


Semiconductor Engineering sat down to discuss the increasing reliance on architectural choices for improvements in power, performance and area, with [getperson id="11425" comment=" Sundari Mitra"], CEO of [getentity id="22535" comment="NetSpeed Systems"]; Charlie Janac, chairman and CEO of [getentity id="22674" e_name="Arteris"]; [getperson id="11032" comment="Simon Davidmann"] CEO of [getentit... » read more

Tuning Heterogeneous SoCs


It's one thing to pack multiple processor cores into a design, but it is much more difficult to ensure the hardware matches the software's requirements, or that the software optimally uses the hardware. Both the hardware and software teams are now facing these issues, and there are few tools to help them fully understand the problems or to provide solutions. Design teams continue to add more... » read more

Executive Insight: Sundari Mitra


Sundari Mitra, co-founder and CEO of [getentity id="22535" e_name="NetSpeed Systems"], sat down with Semiconductor Engineering to discuss machine learning, shifting from a processor-centric to a memory-centric design, and what needs to change to make that all happen. What follows are excerpts of that conversation. SE: What is the biggest change you’re seeing? Mitra: We go through a cycl... » read more

The Real Value Of Digital Horsepower


Chipmakers and systems vendors are beginning to experiment with a slew of new ways to beef up performance and reduce power and area, now that shrinking features no longer guarantees those improvements. The number of new ideas introduced at industry conferences in the past few months is almost mind-boggling. Just on the CPU side there are new architectures that improve the amount of work that... » read more

Embedded Evolution


The design of embedded systems has changed drastically from the days when I was directly involved with them. My first job after leaving college was to design aircraft control systems. I had the dubious honor to be working on the first civilian fly-by-wire aircraft – the Airbus A310. The reason I say dubious is that we had so many eyes trained on us, and that system contained so much redundanc... » read more

All You Need Is Cache (Coherency) To Scale Next-Gen SoC Performance


Life on the SoC performance front remains a withering battle sometimes, because things can seem fairly bleak. As transistor scaling becomes more expensive below 10-nanometer feature sizes, every day it becomes harder to double performance every 18-months or so and stay competitive. Nowhere is the pain of this battle more acute than in consumer and automotive systems, where low cost is the key t... » read more

← Older posts Newer posts →