Where ML Works Best

By Ed Sperling - 26 Jul, 2018 - Comments: 0

Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to discuss machine learning inside and outside of EDA tools and how that will affect the future of chip and system design. What follows are excerpts of that discussion. SE: How do you see the market and use of machine learning shaping up? Devgan: There are three main areas—machine learning inside, machine lear... » read more

Synthesizing Computer Vision Designs To Hardware

By Mike Fingeroff - 26 Jul, 2018 - Comments: 0

Computer vision is one of the hottest markets in electronic design today. Digital processing of images and video with complex algorithms in order to interpret meaning has almost as many applications and markets as there are uses for the human eye. The biggest problem that designers face is that the computer vision system requirements and algorithms change quickly and often. Even the targ... » read more

Hardware Acceleration With eFPGAs

By Alok Sanghavi - 07 Jun, 2018 - Comments: 0

If integrating an embedded FPGA (eFPGA) into your ASIC or SoC design strikes you as odd, it shouldn’t. ICs have been absorbing almost every component on a circuit board for decades, starting with transistors, resistors, and capacitors –– then progressing to gates, ALUs, microprocessors, and memories. FPGAs are simply one more useful component in the tool box, available for decades and ... » read more

The Impact of AI On Autonomous Vehicles

By Synopsys - 06 Jun, 2018 - Comments: 0

Automotive systems designers initially used traditional embedded-vision algorithms in advanced driver assistance systems (ADAS). One of the key enablers of vehicle autonomy moving forward will be the application of artificial intelligence (AI) techniques, particularly those based upon deep-learning algorithms implemented on multi-layer convolutional neural networks (CNNs). These algorithms show... » read more

Blog Review: Feb. 14

By Jesse Allen - 14 Feb, 2018 - Comments: 0

Mentor's Matthew Hogan takes a look at why it's important to establish a baseline reliability verification process and how foundry rule decks fit in. Synopsys' Robert Vamosi digs into the issues with fitness tracker Strava's heatmap, how it could be manipulated, and why the risks of big data analytics go beyond wearables. Cadence's Paul McLellan points to research showing how easy it can ... » read more

The Week In Review: Design

By Jesse Allen - 12 Jan, 2018 - Comments: 0

M&A Synopsys acquired one-time programmable non-volatile memory IP provider Kilopass. Founded in 2001, Kilopass' 1T and 2T bitcell IP supports up to 4-Mbit OTP instances in 180-nm to 7-nm process technologies. The acquisition will add to Synopsys' growing OTP NVM portfolio: last October, Synopsys acquired Sidense, another provider of the technology. Terms of the deal were not disclosed. ... » read more

The Evolution Of Deep Learning For ADAS Applications

By Gordon Cooper - 08 Jun, 2017 - Comments: 0

Embedded vision solutions will be a key enabler for making automobiles fully autonomous. Giving an automobile a set of eyes – in the form of multiple cameras and image sensors – is a first step, but it also will be critical for the automobile to interpret content from those images and react accordingly. To accomplish this, embedded vision processors must be hardware optimized for performanc... » read more

Verification And The IoT

By Ed Sperling - 04 May, 2017 - Comments: 0

Semiconductor Engineering sat down to discuss what impact the IoT will have on the design cycle, with Christopher Lawless, director of external customer acceleration in [getentity id="22846" e_name="Intel"]'s Software Services Group; David Lacey, design and verification technologist at Hewlett Packard Enterprise; Jim Hogan, managing partner at Vista Ventures; Frank Schirrmeister, senior group d... » read more

Speeding Up Neural Networks

By Ed Sperling - 27 Apr, 2017 - Comments: 2

Neural networking is gaining traction as the best way of collecting and moving critical data from the physical world and processing it in the digital world. Now the question is how to speed up this whole process. But it isn't a straightforward engineering challenge. Neural networking itself is in a state of almost constant flux and development, which makes it something of a moving target. Th... » read more

The Efficiency Problem

By Samer Hijazi - 13 Apr, 2017 - Comments: 0

The field of automotive automation has been the driver – so to speak – of the next leap of innovation in the field of transportation. Car architectures are being re-engineered to take advantage of incredible leaps in automation, using more powerful processors that process more data than ever before. The recent focus on autonomous automobile technology could be due to the ongoing drop in ... » read more

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Knowledge Centers
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