tag: memory

High-Performance Memory Challenges
By Ann Mutschler - 12 Apr, 2018 - Comments: 1

Designing memories for high-performance applications is becoming far more complex at 7/5nm. There are more factors to consider, more bottlenecks to contend with, and more tradeoffs required to solve them. One of the biggest challenges is the sheer volume of data that needs to be processed for AI, machine learning or deep learning, or even in classic data center server racks. “The design... » read more

Ultra-Low Power Memory IPs Using Mentor coolSRAM-6T Technology
By Mentor, a Siemens Business - 11 Apr, 2018 - Comments: 0

The use of embedded static random access memory (eSRAM) in complex ICs has significantly increased in the past three decades. This trend will continue with the growth of ICs designed for rapidly expanding markets such as automotive, virtual reality (VR) / augmented reality (AR), implantable medical devices, gaming, sensor hub, medical devices, wearable computing, data center, and artificial int... » read more

How To Choose The Right Memory
By Ann Mutschler - 02 Apr, 2018 - Comments: 0

When it comes to designing memory, there is no such thing as one size fits all. And given the long list of memory types and usage scenarios, system architects must be absolutely clear on the system requirements for their application. A first decision is whether or not to put the memory on the logic die as part of the SoC, or keep it as off-chip memory. "The tradeoff between latency and th... » read more

The Week In Review: Design
By Jesse Allen - 23 Mar, 2018 - Comments: 0

M&A Synopsys acquired Silicon and Beyond, a provider of high-speed SerDes and ADC/DAC IP. The company was founded in 2012 as SilabTech and headquartered in Bangalore. Synopsys highlighted the team of R&D engineers with high-speed SerDes expertise that would be joining with the acquisition. Terms of the deal were not disclosed. ANSYS will acquire OPTIS, a provider of software for sci... » read more

The New Deep Learning Memory Architectures You Should Know About
By eSilicon - 21 Mar, 2018 - Comments: 0

Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, ... » read more

How AI Impacts Memory Systems
By Steven Woo - 08 Mar, 2018 - Comments: 0

Throughout the 1980’s and early 1990’s computer systems were bottlenecked by relatively slow CPU performance, thereby limiting what applications could do. Driven by Moore’s Law, transistor counts increased significantly over the years, improving system performance and enabling exciting new computing possibilities. Although computing capabilities have advanced significantly in recen... » read more

Will China Succeed In Memory?
By Mark LaPedus - 19 Feb, 2018 - Comments: 5

China's fledging memory makers are expected to reach a major milestone and move into initial production this year, although vendors are already running into various roadblocks. China's domestic vendors are focusing on two markets, 3D NAND and DRAM. In both cases local vendors are either behind in technology, struggling to develop these products, or both. And one vendor recently was hit with ... » read more

Understanding Memory
By Alex Yoon - 15 Feb, 2018 - Comments: 10

New semiconductor applications are ever changing and improving our lives, from new smartphones and wearables to healthcare, factory automation, and artificial intelligence. The humble memory chip working in the background plays a critical role in enabling these technologies. For example, that awesome picture you just took would be lost forever without memory. Your computer can’t perform the i... » read more

What’s Next In Neuromorphic Computing
By Katherine Derbyshire - 15 Feb, 2018 - Comments: 2

To integrate devices into functioning systems, it's necessary to consider what those systems are actually supposed to do. Regardless of the application, [getkc id="305" kc_name="machine learning"] tasks involve a training phase and an inference phase. In the training phase, the system is presented with a large dataset and learns how to "correctly" analyze it. In supervised learning, the data... » read more

New Nodes, Materials, Memories
By Ed Sperling - 15 Feb, 2018 - Comments: 0

Ellie Yieh, vice president and general manager of Advanced Product Technology Development at [getentity id="22817" e_name="Applied Materials"], and head of the company's Maydan Technology Center, sat down with Semiconductor Engineering to talk about challenges, changes and solutions at advanced nodes and with new applications. What follows are excerpts of that conversation. SE: How far can w... » read more

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