tag: ARM

Technical Paper Roundup: Sept 27
By Linda Christensen - 27 Sep, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=53 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Strengthening The Global Semi Supply Chain
By Ann Mutschler - 22 Sep, 2022 - Comments: 0

Within the semiconductor ecosystem, there are a number of dynamics pointing to the need for new ways of partnering in more meaningful ways that bring resiliency to the global semiconductor supply chain. One of these is the move to bespoke silicon, stemming from a shift in the companies that create most SoCs today -- the hyperscalar cloud providers. These market leaders know their workloads so w... » read more

Blog Review: Sept. 21
By Jesse Allen - 21 Sep, 2022 - Comments: 0

Arm's Neil Burgess and Sangwon Ha explain why they've joined Intel and Nvidia in proposing a new 8-bit floating point specification to enable neural network models developed on one platform to be run on other platforms without encountering the overhead of having to convert the vast amounts of model data between formats while reducing task loss to a minimum. Synopsys' Manuel Mota examines ver... » read more

Why Geofencing Will Enable L5
By Marie C. Baca - 19 Sep, 2022 - Comments: 1

What will it take for a car to be able to drive itself anywhere a human can? Ask autonomous vehicle experts this question and the answer invariably includes a discussion of geofencing. In the broadest sense, geofencing is simply a virtual boundary around a physical area. In the world of self-driving cars, it describes a crucial subset of the operational design domain — the geographic regio... » read more

FP8: Cross-Industry Hardware Specification For AI Training And Inference (Arm, Intel, Nvidia)
By Technical Paper Link - 16 Sep, 2022 - Comments: 0

Arm, Intel, and Nvidia proposed a specification for an 8-bit floating point (FP8) format that could provide a common interchangeable format that works for both AI training and inference and allow AI models to operate and perform consistently across hardware platforms. Find the technical paper titled " FP8 Formats For Deep Learning" here. Published Sept 2022. Abstract: "FP8 is a natural p... » read more

Week In Review: Auto, Security, Pervasive Computing
By Marie C. Baca - 16 Sep, 2022 - Comments: 0

Automotive and mobility U.S. President Joe Biden announced the approval of $900 million in funding for a nationwide network of electrical vehicle charging stations in 35 states. The money is part of a multi-year, $7.5 billion plan to create 500,000 charging stations along federal highways. Industry executives told Reuters that remote human supervisors may be a permanent fixture of highly au... » read more

Week In Review: Design, Low Power
By Jesse Allen - 16 Sep, 2022 - Comments: 0

Cadence unveiled a big data analytics infrastructure to unify massive data sets across all Cadence computational software. The Joint Enterprise Data and AI (JedAI) Platform aims to optimize multiple runs of multiple engines across an entire SoC design and verification flow. It combines data from its AI-driven Cerebrus implementation and Optimality system optimization solutions, along with the n... » read more

The New Interactive TV Experience
By Geof Wheelwright - 13 Sep, 2022 - Comments: 0

In recent years, the TV device has changed dramatically. It is no longer a linear device with a set amount of TV channels, or even just acting as a screen for other experiences, like gaming on a console device. Interactivity is becoming an integral part of the TV experience, from how users consume content via OTT providers and streaming services to new “choose your own adventure shows” and ... » read more

Keyword Transformer: A Self-Attention Model For Keyword Spotting
By Arm - 12 Sep, 2022 - Comments: 0

The Transformer architecture has been successful across many domains, including natural language processing, computer vision and speech recognition. In keyword spotting, self-attention has primarily been used on top of convolutional or recurrent encoders. We investigate a range of ways to adapt the Transformer architecture to keyword spotting and introduce the Keyword Transformer (KWT), a fully... » read more

Blog Review: Sept. 7
By Jesse Allen - 07 Sep, 2022 - Comments: 0

Cadence's Paul McLellan shares highlights from the recent Hot Chips tutorial on CXL and how enhanced memory pooling enables new memory usage models as CXL 3.0 approaches the same speed as DRAM. Synopsys' Sam Tennent and Kamal Desai highlight the emergence of virtual prototyping, its synergy with continuous integration and development setups, and the benefits when these disciplines are combin... » read more

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