Power/Performance Bits: Dec. 31


Three-valued memory Scientists at the Tokyo Institute of Technology and the University of Tokyo developed a new three-valued memory device inspired by solid lithium-ion batteries which could potentially serve as low power consumption RAM. The new device consisted of a stack of three solid layers made of lithium, lithium phosphate, and gold. This stack is essentially a miniature low-capacity... » read more

Where Is The Edge?


Mike Fitton, senior director of strategic planning at Achronix, talks about what the edge will look like, how that fits in with the cloud, what the requirements are both for processing and for storage, and how this concept will evolve.   Edge Knowledge Center Top stories, videos, blogs, white papers all related to the Edge » read more

Machine Learning Inferencing At The Edge


Ian Bratt, fellow in Arm's machine learning group, talks about why machine learning inferencing at the edge is so difficult, what are the tradeoffs, how to optimize data movement, how to accelerate that movement, and how it differs from developing other types of processors. » read more

Using Compression For High-Bandwidth Video


Malte Doerper, senior manager for product management at Synopsys, explains how to improve bandwidth and reduce latency in video without changing out the existing infrastructure through compression, but unlike previous versions of compression there is no significant loss of quality. This approach reduces power, area and heat, as well. » read more

Power/Performance Bits: May 6


Compressing objects Computer scientists at MIT propose a way to improve data compression in memory by focusing on objects rather than cache lines. "The motivation was trying to come up with a new memory hierarchy that could do object-based compression, instead of cache-line compression, because that's how most modern programming languages manage data," said Po-An Tsai, a graduate student at... » read more

Edge Inferencing Challenges


Geoff Tate, CEO of Flex Logix, talks about balancing different variables to improve performance and reduce power at the lowest cost possible in order to do inferencing in edge devices. https://youtu.be/1BTxwew--5U » read more

Building AI SoCs


Ron Lowman, strategic marketing manager at Synopsys, looks at where AI is being used and how to develop chips when the algorithms are in a state of almost constant change. That includes what moves to the edge versus the data center, how algorithms are being compressed, and what techniques are being used to speed up these chips and reduce power. https://youtu.be/d32jtdFwpcE    ... » read more

Analyzing The Losses In Visually Lossless Compression Algorithms


Over the past few years there has been a remarkable progress in the quality of display devices, with 4K displays becoming the norm, and 8K and 10K displays following closely. However, this increase in quality has led to a tremendous increase in the amount of data being transmitted over display links. To meet these demands most display interfaces are now making use of compression. This white pap... » read more

Test Challenges Grow


Semiconductor Engineering sat down to discuss current and future test challenges with Dave Armstrong, director of business development at Advantest; Steve Pateras, product marketing director for Silicon Test Solutions at Mentor Graphics; Robert Ruiz, senior product marketing manager at Synopsys; Mike Slessor, president of FormFactor; and Dan Glotter, chief executive of Optimal+. SE: What are... » read more