tag: AI

Last-Level Cache
By Ed Sperling - 06 Apr, 2020 - Comments: 0

Kurt Shuler, vice president of marketing at Arteris IP, explains how to reduce latency and improve performance with last-level cache in order to avoid sending large amounts of data to external memory, and how to ensure quality of service on a chip by taking into account contention for resources. » read more

COVID-19 Tech Bits
By Linda Christensen - 06 Apr, 2020 - Comments: 0

Tech companies, consortiums and universities are jumping in to help fight COVID-19, deploying everything from massive computing capabilities to developing new technologies that can protect medical workers and first responders. Nearly all of these have ramped up over the past several weeks, as the tech world begins to take on a global challenge to combat the deadly virus. Compute resources... » read more

Week In Review: Auto, Security, Pervasive Computing
By Susan Rambo - 03 Apr, 2020 - Comments: 0

Synopsys has added nanoscale and macroscale illumination optics to its RSoft Photonic Device Tools version 2020.03. ARVR designers can use the RSoft-LightTools Bidirectional Scattering Distribution Function (BSDF) interface to make interpolated BSDF files for optimized nanoscale and macroscale optics, such as freeform optical prism projectors, eye tracking technologies, and optical planar waveg... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem
By Ann Mutschler - 02 Apr, 2020 - Comments: 0

The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

AI Inference: Pools Vs. Streams
By Geoff Tate - 02 Apr, 2020 - Comments: 0

Deep Learning and AI Inference originated in the data center and was first deployed in practical, volume applications in the data center. Only recently has Inference begun to spread to Edge applications (anywhere outside of the data center). In the data center much of the data to be processed is a “pool” of data. For example, when you see your photo album tagged with all of the pictures ... » read more

New Ways To Optimize Machine Learning
By Bryon Moyer - 02 Apr, 2020 - Comments: 1

As more designers employ machine learning (ML) in their systems, they’re moving from simply getting the application to work to optimizing the power and performance of their implementations. Some techniques are available today. Others will take time to percolate through the design flow and tools before they become readily available to mainstream designers. Any new technology follows a basic... » read more

More Multiply-Accumulate Operations Everywhere
By Ed Sperling - 02 Apr, 2020 - Comments: 1

Geoff Tate, CEO of Flex Logix, sat down with Semiconductor Engineering to talk about how to build programmable edge inferencing chips, embedded FPGAs, where the markets are developing for both, and how the picture will change over the next few years. SE: What do you have to think about when you're designing a programmable inferencing chip? Tate: With a traditional FPGA architecture you ha... » read more

How And Where ML Is Being Used In IC Manufacturing
By Mark LaPedus - 01 Apr, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. Part one ... » read more

Software-Defined Hardware Gains Ground — Again
By Ann Mutschler - 26 Mar, 2020 - Comments: 0

The traditional approach of running generic software on x86-based CPUs is running out of steam for many applications due to the slowdown of Moore’s Law and the concurrent exponential growth in software application complexity and scale. In this environment, the software and hardware are disparate due the dominance of the x86 architecture. “The need for and advent of the hardware accelerat... » read more

What Machine Learning Can Do In Fabs
By Mark LaPedus - 25 Mar, 2020 - Comments: 0

Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. L-R:... » read more

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