Memory Subsystems In Edge Inferencing Chips


Geoff Tate, CEO of Flex Logix, talks about key issues in a memory subsystem in an inferencing chip, how factors like heat can affect performance, and where these kinds of chips will be used. » read more

The New CXL Standard


Gary Ruggles, senior staff product marketing manager at Synopsys, digs into the new Compute Express Link standard, why it’s important for high bandwidth in AI/ML applications, where it came from, and how to apply it in current and future designs. » read more

Making Better Use Of Memory In AI


Steven Woo, Rambus fellow and distinguished inventor, talks about using number formats to extend memory bandwidth, what the impact can be on fractional precision, how modifications of precision can play into that without sacrificing accuracy, and what role stochastic rounding can play. » read more

Machine Learning Inferencing At The Edge


Ian Bratt, fellow in Arm's machine learning group, talks about why machine learning inferencing at the edge is so difficult, what are the tradeoffs, how to optimize data movement, how to accelerate that movement, and how it differs from developing other types of processors. » read more

Improving Quality Through Data Analytics


Doug Elder, vice president and general manager at OptimalPlus, explains how to utilize data to improve reliability, how it applies to different manufacturing processes, and what happens when that data is made available to more people within an organization. » read more

Ensuring A 5G Design Is Viable


Ron Squiers, network solutions specialist at Mentor, a Siemens Business, explains what’s different in 5G chips versus 4G, how to construct a front haul and back haul system so it is testable in the network stack. » read more

IP Security In FPGAs


Quinn Jacobson, strategic architect at Achronix, talks about security in FPGAs, including how to prevent reverse engineering of IP, how to make sure the design is authentic, and how to limit access to IP in transit and in the chip. » read more

Manufacturing Printed Sensors


Vijaya Kayastha, lead device development engineer at Brewer Sciences, talks about the different approaches for different printed sensors, why each of those requires different skill levels for scaling up the process, and why this technology will be so important for industrial and IoT applications. » read more

In-Memory Computing


Gideon Intrater, CTO at Adesto Technologies, talks about why in-memory computing is now being taken seriously again, years after it was first proposed as a possible option. What's changed is an explosion in data, and a recognition that it's too time- and energy-intensive to send all of that data back and forth between memories and processors on the same chip, let alone to the cloud and back. On... » read more

Process Window Optimization


David Fried, vice president of computational products at Lam Research, examines increasing process variation and interactions between various types of variation, why different approaches are necessary to improve yield and continue scaling. » read more

← Older posts Newer posts →