tag: algorithms

Security, Scaling and Power
By Ed Sperling - 13 Dec, 2018 - Comments: 0

If anyone has doubts about the slowdown and increasing irrelevance of Moore's Law, Intel's official unveiling of its advanced packaging strategy should leave little doubt. Inertia has ended and the roadmap is being rewritten. Intel's discussion of advanced packaging is nothing new. The company has been public about its intentions for years, and started dropping hints back when Pat Gelsinger ... » read more

Getting Down To Business On Chiplets
By Ed Sperling - 26 Nov, 2018 - Comments: 0

Government agencies, industry groups and individual companies are beginning to rally around various chiplet models, setting the stage for complex chips that are quicker and cheaper to build using standardized interfaces and components. The idea of putting together different modules like LEGOs has been talked about for the better part of a decade. So far, only Marvell has used this concept co... » read more

Making AI Run Faster
By Ed Sperling - 11 Oct, 2018 - Comments: 0

The semiconductor industry has woken up to the fact that heterogeneous computing is the way forward and that inferencing will require more than a GPU or a CPU. The numbers being bandied about by the 30 or so companies working on this problem are 100X improvements in performance. But how to get there isn't so simple. It requires four major changes, as well as some other architectural shifts. ... » read more

Betting Big On Discontinuity
By Ed Sperling - 27 Sep, 2018 - Comments: 0

Wally Rhines, president and CEO of Mentor, a Siemens Business, sat down with Semiconductor Engineering to talk about the booming chip industry, what's driving it, how long it will last and what changes are ahead in EDA and chip architectures. What follows are excerpts of that conversation. SE: The EDA and semiconductor industries are doing well right now. What's driving that growth? Rhine... » read more

Intel’s Next Move
By Ed Sperling - 11 Sep, 2018 - Comments: 0

Gadi Singer, vice president and general manager of Intel's Artificial Intelligence Products Group, sat down with Semiconductor Engineering to talk about Intel's vision for deep learning and why the company is looking well beyond the x86 architecture and one-chip solutions. SE: What's changing on the processor side? Singer: The biggest change is the addition of deep learning and neural ne... » read more

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

Right-Sizing Your Cryptographic Processing Solution
By Synopsys - 16 Jul, 2018 - Comments: 0

The cornerstone of all security solutions that deal with confidentiality, integrity and authentication is cryptography. Cryptography is a complex math problem used to help create security applications. Algorithms vary for different applications and are used for specific purposes. The common cryptographic algorithms are symmetric block ciphers for confidentiality, hash functions for integrity, a... » read more

Power/Performance Bits: July 10
By Jesse Allen - 10 Jul, 2018 - Comments: 0

Heating up EV batteries Researchers from Pennsylvania State University developed a self-heating battery that can charge rapidly in cold conditions, a step they hope could spread adoption of electric vehicles. "Electric vehicles are popular on the west coast because the weather is conducive," said Xiao-Guang Yang, assistant research professor in mechanical engineering, Penn State. "Once you ... » read more

Machine Learning’s Limits (Part 1)
By Ed Sperling - 07 Jun, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. SE: Where are we with machine learning? What problems still have to be resolved? Aitken: We're in a state where thi... » 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

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