tag: ML

Next-Gen Transistors
By Ed Sperling - 07 Mar, 2022 - Comments: 0

Nanosheets, or more generally, gate-all-around FETs, mark the next big shift in transistor structures at the most advanced nodes. David Fried, vice president of computational products at Lam Research, talks with Semiconductor Engineering about the advantages of using these new transistor types, along with myriad challenges at future nodes, particularly in the area of metrology. » read more

Machine Learning Showing Up As Silicon IP
By Bryon Moyer - 03 Mar, 2022 - Comments: 0

New machine-learning (ML) architectures continue to appear. Up to now, each new offering has been implemented in a chip for sale, to be placed alongside host processors, memory, and other chips on an accelerator board. But over time, more of this technology could be sold as IP that can be integrated into a system-on-chip (SoC). That trend is evident at recent conferences, where an increasing... » read more

Data Center Architectures In Flux
By Ann Mutschler - 24 Feb, 2022 - Comments: 0

Data center architectures are becoming increasingly customized and heterogeneous, shifting from processors made by a single vendor to a mix of processors and accelerators made by multiple vendors — including system companies' own design teams. Hyperscaler data centers have been migrating toward increasingly heterogeneous architectures for the past half decade or so, spurred by the rising c... » read more

Enhancing Datasets For Artificial Intelligence Through Model-Based Methods
By Dirk Mayer - 10 Feb, 2022 - Comments: 0

By Dirk Mayer and Ulf Wetzker Industrial plants and processes are now digitized and networked, and AI can be used to evaluate the data generated by those facilities to increase productivity and quality. Machine learning (ML) methods can be applied to: Product quality classification in complex production processes. Condition monitoring of technical systems, which is used, for examp... » read more

Technology Advancements For Dynamic Function eXchange In Vivado ML Edition
By Xilinx - 08 Feb, 2022 - Comments: 0

As systems become more complex and designers are asked to do more with less, adaptability is a critical asset. While Xilinx FPGAs and SoCs always provided the flexibility to perform on-site device reprogramming, current constraints including increased cost, tighter board space, and power consumption demand even more efficient design strategies. Xilinx Dynamic Function eXchange (DFX) extends the... » read more

Growth Spurred By Negatives
By Brian Bailey - 27 Jan, 2022 - Comments: 0

The success and health of the semiconductor industry is driven by the insatiable appetite for increasingly complex devices that impact every aspect of our lives. The number of design starts for the chips used in those devices drives the EDA industry. But at no point in history have there been as many market segments driving innovation as there are today. Moreover, there is no indication this... » read more

Is Programmable Overhead Worth The Cost?
By Brian Bailey - 13 Jan, 2022 - Comments: 0

Programmability has fueled the growth of most semiconductor products, but how much does it actually cost? And is that cost worth it? The answer is more complicated than a simple efficiency formula. It can vary by application, by maturity of technology in a particular market, and in the context of much larger systems. What's considered important for one design may be very different for anothe... » read more

The High But Often Unnecessary Cost Of Coherence
By Brian Bailey - 22 Dec, 2021 - Comments: 4

Cache coherency, a common technique for improving performance in chips, is becoming less useful as general-purpose processors are supplemented with, and sometimes supplanted by, highly specialized accelerators and other processing elements. While cache coherency won't disappear anytime soon, it is increasingly being viewed as a luxury necessary to preserve a long-standing programming paradig... » read more

The Return Of DAC In-Person
By Brian Bailey - 15 Dec, 2021 - Comments: 0

Apart from masked faces everywhere, you could be excused for not knowing that there was a pandemic going on. Sure, the numbers were down, the show floor was smaller, and most of the parties didn't happen, but everyone was so happy to be able to bump elbows with their colleagues. Buttons were available for attendees to show the level of comfort they had with various types of greetings, from "... » read more

Amdahl Limits On AI
By Brian Bailey - 09 Dec, 2021 - Comments: 0

Software and hardware both place limits on how fast an application can run, but finding and eliminating the limitations is becoming more important in this age of multicore heterogeneous processing. The problem is certainly not new. Gene Amdahl (1922-2015) recognized the issue and published a paper about it in 1967. It provided the theoretical speedup for a defined task that could be expected... » read more

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