tag: Cadence

Developers Turn To Analog For Neural Nets
By Bryon Moyer - 06 May, 2021 - Comments: 1

Machine-learning (ML) solutions are proliferating across a wide variety of industries, but the overwhelming majority of the commercial implementations still rely on digital logic for their solution. With the exception of in-memory computing, analog solutions mostly have been restricted to universities and attempts at neuromorphic computing. However, that’s starting to change. “Everyon... » read more

IC Security Threat Grows As More Devices Are Connected
By Ann Mutschler - 06 May, 2021 - Comments: 0

Designing for security is beginning to gain traction across a wider swath of chips and systems as more of them are connected to the Internet and to each other, sometimes in safety- and mission-critical markets where the impact of a cyber attack can be devastating. But it's also becoming more difficult to design security into these systems. Unlike in the past, connectivity is now considered e... » read more

Battle Brewing Over Automotive Display Protocols
By Bryon Moyer - 06 May, 2021 - Comments: 0

Displays are multiplying in new and future automobiles. That means a lot more display data moving around the vehicle and traveling some distance between sensor and processor. While existing protocols can handle some of the new duties, new protocols also are being developed specifically for this application. “Automotive displays are proliferating, increasing in numbers and in pixel densi... » read more

Using In-Design Analysis Flows To Resolve Signal Integrity Issues
By Avijeet Singh - 06 May, 2021 - Comments: 0

In today’s ever-shrinking IC package design cycles, it is almost imperative that we catch and correct routing issues as early as possible, which makes simulation an integral part of the design cycle. Layout engineers want a quick and accurate way to find out the layout mistakes by looking at the changing impedance values and high coupling due to nearby signals. Unfortunately, layout engineers... » read more

Blog Review: May 5
By Jesse Allen - 05 May, 2021 - Comments: 0

Arm's William Wang considers how to increase the performance and programmability of persistent applications through using battery to protect the on-chip volatile cache hierarchy. Cadence's Paul McLellan finds that ransomware is getting more sophisticated, and more difficult to eradicate and defend against, with potentially life-threatening consequences. Synopsys' Jonathan Knudsen digs int... » read more

Steep Spike For Chip Complexity And Unknowns
By Ed Sperling - 05 May, 2021 - Comments: 0

Cramming more and different kinds of processors and memories onto a die or into a package is causing the number of unknowns and the complexity of those designs to skyrocket. There are good reasons for combining all of these different devices into an SoC or advanced package. They increase functionality and can offer big improvements in performance and power that are no longer available just b... » read more

Week In Review: Design, Low Power
By Jesse Allen - 30 Apr, 2021 - Comments: 0

IP, FPGA, Tools Arm released new details on its new Neoverse N2 and Neoverse V1 platforms. A range of companies announced they will be using the platforms, including Marvell and SiPearl. Aimed at server and HPC workloads, Neoverse V1 uses wider and deeper pipelines compared to the N1 and supports a 2x256bit wide vector unit executing the Scalable Vector Extension (SVE) instructions with sup... » read more

Week In Review: Auto, Security, Pervasive Computing
By SE Staff - 30 Apr, 2021 - Comments: 0

Pervasive computing — IoT, edge, cloud, data center, and back Arm shared new features and some design wins for its Neoverse V1 and N2 platforms, which it introduced in September 2020. Neoverse V1 is optimized for high-performance computing. Arm has licensing wins from India’s Ministry of Electronics and Information Technology (MeitY) for its exascale HPC project; and European exascale comp... » read more

Security Concerns Rise For Connected Autos
By John Koon - 29 Apr, 2021 - Comments: 0

The auto industry is transforming itself toward a future in which the automobile increasingly will be connected using V2X and 5G. Driver assistance will improve, and ultimately cars will be guided by AI and machine learning. But all of this will be closely watched by hackers, looking for an opening and a potentially large and untraceable payout. The replacement of mechanical functionality wi... » read more

Roadblocks For ML in EDA
By Brian Bailey - 28 Apr, 2021 - Comments: 1

Is EDA a suitable space for utilizing machine learning (ML)? The answer depends on a number of factors, including where exactly it is being applied, how much support there is from the industry, and whether there are demonstrable advantages. Exactly where ML will play a role has yet to be decided. Replacing existing heuristics with machine learning, for example, would require an industry-wide... » read more

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