tag: memory

Leti’s Next Focus
By Mark LaPedus - 19 Jul, 2018 - Comments: 0

Emmanuel Sabonnadière, chief executive of Leti, sat down with Semiconductor Engineering to discuss R&D trends, a new deal with Soitec, and the latest developments at the France-based research organization. Leti is a research institute of CEA Tech. What follows are excerpts of that conversation. SE: Leti recently formed an alliance with Soitec. Under the terms, Leti and Soitec are formin... » read more

Embedded FPGA Design Considerations
By Ed Sperling - 09 Jul, 2018 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks about interconnects, memory, different design approaches, and why foundry processes are critical to eFPGA design. https://youtu.be/FngrgDnJn9c » read more

Defining Edge Memory Requirements
By Ann Mutschler - 20 Jun, 2018 - Comments: 0

Defining edge computing memory requirements is a growing problem for chipmakers vying for a piece of this market, because it varies by platform, by application, and even by use case. Edge computing plays a role in artificial intelligence, automotive, IoT, data centers, as well as wearables, and each has significantly different memory requirements. So it's important to have memory requirement... » read more

The Long Pause
By Ed Sperling - 07 Jun, 2018 - Comments: 0

Carmakers are leaping over each other to roll out cars that meet SAE Level 3 requirements, whereby under some conditions drivers can let go of the steering wheel. Getting to Level 5 will take a lot longer, and there is some debate about where and even whether Level 4 will ever happen (see Fig. 1). Fig. 1: Levels of autonomy. Source: Auto Alliance There are two big gaps that need to be a... » read more

What’s In A Node?
By Sundeep Bajikar - 30 May, 2018 - Comments: 0

In an environment where process nodes are no longer consistently delivering the level of improvements predicted by Moore’s Law, the industry will continue to develop “inter-nodes” as a way to deliver incremental improvements in lieu of “full-nodes.” A shift in market requirements, in part due to the rise of AI and IoT, is increasing emphasis on trailing-nodes. When it comes to leading... » read more

Power/Performance Bits: May 22
By Jesse Allen - 22 May, 2018 - Comments: 0

Sensing without battery power Engineers at the National University of Singapore developed an IoT-focused sensor chip that can continue operating when its battery runs out of energy. The chip, BATLESS, uses a power management technique that allows it to self-start and continue to function under dim light without any battery assistance. The chip can operate in two different modes: minimum-ene... » read more

Deep Learning Neural Networks Drive Demands On Memory Bandwidth
By Frank Ferro - 10 May, 2018 - Comments: 0

A deep neural network (DNN) is a system that is designed similar to our current understanding of biological neural networks in the brain. DNNs are finding use in many applications, advancing at a fast pace, pushing the limits of existing silicon, and impacting the design of new computing architectures. Figure 1 shows a very basic form of neural network that has several nodes in each layer that ... » read more

Tech Talk: HBM vs. GDDR6
By Ed Sperling - 10 May, 2018 - Comments: 0

Frank Ferro, senior director of product management at Rambus, talks about memory bottlenecks and why both GDDR6 and high-bandwidth memory are gaining steam and for which markets. https://youtu.be/CPqdZZooS2g     Related Video GDDR6 – HBM2 Tradeoffs (2019) What type of DRAM works best where. » read more

Blog Review: Apr. 18
By Jesse Allen - 18 Apr, 2018 - Comments: 0

Cadence's Meera Collier provides an overview of five emerging technologies that could drive the semiconductor industry in the future, from carbon nanotubes to quantum computing. Mentor's Colin Walls reminds embedded software developers of a few common sense tips, including better readability with braces in C/C++ and monitoring stack overflow. Synopsys' Tim Mackey rounds up the last few we... » read more

Architecture, Materials And Software
By Ed Sperling - 12 Apr, 2018 - Comments: 0

AI, machine learning and autonomous vehicles will require massive improvements in performance, at the same power consumption level (or better), over today's chips. But it's obvious that the usual approach of shrinking features to improve power/performance isn't going to be sufficient. Scaling will certainly help, particularly on the logic side. More transistors are needed to process a huge i... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy