tag: Flex Logix

Maximizing Edge AI Performance
By Vinay Mehta - 01 Apr, 2021 - Comments: 0

Inference of convolutional neural network models is algorithmically straightforward, but to get the fastest performance for your application there are a few pitfalls to keep in mind when deploying. A number of factors make efficient inference difficult, which we will first step through before diving into specific solutions to address and resolve each. By the end of this article, you will be arm... » read more

New Uses For AI
By Ed Sperling - 01 Apr, 2021 - Comments: 0

AI is being embedded into an increasing number of technologies that are commonly found inside most chips, and initial results show dramatic improvements in both power and performance. Unlike high-profile AI implementations, such as self-driving cars or natural language processing, much of this work flies well under the radar for most people. It generally takes the path of least disruption, b... » read more

How To Measure ML Model Accuracy
By Bryon Moyer - 01 Apr, 2021 - Comments: 0

Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions. However, there is no one universal way to measure that quality across all ML applications, and that has broad implications for the value and usefulness of machine learning. “Every industry, every d... » read more

Week In Review: Auto, Security, Pervasive Computing
By Susan Rambo - 26 Mar, 2021 - Comments: 0

Automotive A fire at a Renesas fab may put a further squeeze on the supply of automotive chips, according to an Associated Press story. The fire in Naka Factory (located in Japan in Hitachinaka, Ibaraki Prefecture) was caused by plating equipment igniting within the first floor of the N3 Building and was extinguished the same day it started on March 19th, according to a press release. “The c... » read more

Week In Review: Design, Low Power
By Jesse Allen - 26 Mar, 2021 - Comments: 0

Companies Pearl Semiconductor launched to provide low and ultra-low noise timing products. “Pearl is a timing company developing resonator-agnostic solutions. We work with quartz crystals, MEMS resonators or whatever achieves superior performance,” said Ayman Ahmed, CEO of Pearl Semiconductor. “Current and future automotive applications demand low noise and a wide operating temperatur... » read more

Customized Micro-Benchmarks For HW/SW Performance
By Ed Sperling - 23 Mar, 2021 - Comments: 0

Raw performance used to be the main focus of benchmarks, but they may have outlived their usefulness for many applications. Dana McCarty, vice president of sales and marketing for AI Inference Products at Flex Logix, talks about why companies need to develop and utilize their own specific models to accurately gauge hardware and software performance, which can be slowed by bottlenecks in I/O and... » read more

Week In Review: Design, Low Power
By Jesse Allen - 05 Mar, 2021 - Comments: 0

Tools Synopsys introduced Euclide, a next-generation hardware description language (HDL)-aware integrated development environment (IDE). Euclide aims to enable earlier detection of bugs and optimize code for design and verification flows by identifying complex design and testbench compliance checks during SystemVerilog and UVM development. It assists correct-by-construction code development th... » read more

The Best AI Edge Inference Benchmark
By Dana McCarty - 04 Mar, 2021 - Comments: 0

When evaluating the performance of an AI accelerator, there’s a range of methodologies available to you. In this article, we’ll discuss some of the different ways to structure your benchmark research before moving forward with an evaluation that directly runs your own model. Just like when buying a car, research will only get you so far before you need to get behind the wheel and give your ... » read more

Making Sense Of New Edge-Inference Architectures
By Bryon Moyer - 04 Mar, 2021 - Comments: 0

New edge-inference machine-learning architectures have been arriving at an astounding rate over the last year. Making sense of them all is a challenge. To begin with, not all ML architectures are alike. One of the complicating factors in understanding the different machine-learning architectures is the nomenclature used to describe them. You’ll see terms like “sea-of-MACs,” “systolic... » read more

Firmware Skills Shortage
By Brian Bailey - 25 Feb, 2021 - Comments: 0

Good hardware without good software is a waste of silicon, but with so many new processors and accelerator architectures being created, and so many new skills required, companies are finding it hard to hire enough engineers with low-level software expertise to satisfy the demand. Writing compilers, mappers and optimization software does not have the same level of pizazz as developing new AI ... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2024 SMG   |  Terms of Service  |  Privacy Policy