tag: GPU

Warp Speed Ahead
By Ed Sperling - 11 Jan, 2018 - Comments: 3

The computing world is on a tear, but not just in one direction. While battery-powered applications are focused on extending the time between charges or battery replacements, there is a whole separate and growing market for massive improvements in speed. Ultimately, this is where quantum computing will play a role, probably sometime in the late 2020/early 2030 timeframe, according to multipl... » read more

DAC System Design Contest
By Sharon Hu - 20 Dec, 2017 - Comments: 0

When it comes to tackling leading-edge design challenges in fun ways, there’s no better place than DAC. For DAC 2018, we’ve created a System Design Contest targeting machine learning on embedded hardware. If you think this is too leading edge for a design contest, you’d be mistaken: More than 100 teams registered for the contest. You can find a full list of the teams here. So ho... » read more

What’s Next With Computing?
By Mark LaPedus - 18 Dec, 2017 - Comments: 1

At the recent IEDM conference, Jeff Welser, vice president and lab director at IBM Research Almaden, sat down to discuss artificial intelligence, machine learning, quantum computing and supercomputing with Semiconductor Engineering. Here are excerpts of that conversation. SE: Where is high-end computing going? Welser: We are seeing lots of different systems start to come up. First of all,... » read more

Changes Ahead For Test
By Jeff Dorsch - 11 Dec, 2017 - Comments: 0

Testing microprocessors is becoming more difficult and more time consuming as these devices are designed to take on more complex tasks, such as accelerating artificial intelligence computing, enabling automated driving, and supporting deep neural networks. This is not just limited to microprocessors, either. Graphics processing units are grabbing market share in supercomputing and other area... » read more

Making Machine Learning Portable
By Ed Sperling - 26 Oct, 2017 - Comments: 0

Machine learning is everywhere, and it has exploded at a pace no one would have expected. Even a year ago, ML was more of an experiment than a reality. NVIDIA's stock price (Fig. 1, below) is a good representation of just how quickly this market has grown. GPUs are the chip of choice for training machine learning systems. Fig. 1: Nvidia 5-year stock price. Source: Google Finance Ma... » read more

Move Data Or Process In Place?
By Brian Bailey - 26 Oct, 2017 - Comments: 0

Should data move to available processors or should processors be placed close to memory? That is a question the academic community has been looking at for decades. Moving data is one of the most expensive and power-consuming tasks, and is often the limiter to system performance. Within a chip, Moore's Law has enabled designers to physically move memory closer to processing, and that has rema... » read more

Executive Insight: Lip-Bu Tan
By Ed Sperling - 06 Sep, 2017 - Comments: 2

Semiconductor Engineering sat down with Lip-Bu Tan, president and CEO of [getentity id="22032" e_name="Cadence"], to discuss disruptions and changes in the semiconductor industry, from machine learning and advance packaging to tools and business. What follows are excerpts of that conversation. SE: What do you see as the next big thing? Tan: Unlike mobility or cell phones, or PCs before th... » read more

CCIX Enables Machine Learning
By Brian Bailey - 31 Jul, 2017 - Comments: 5

It takes a lot of technology to enable something like machine learning, and not all of it is as glamorous as neural network architectures and algorithms. Several levels below that is the actual hardware on which these run, and that brings us into the even less sexy world of interfaces. One such interface, the Cache Coherent Interconnect for Accelerators (CCIX), pronounced C6, aims to make th... » read more

The Secret Life Of Accelerators
By Ed Sperling - 27 Jul, 2017 - Comments: 0

Accelerator chips increasingly are providing the performance boost that device scaling once provided, changing basic assumptions about how data moves within an electronic system and where it should be processed. To the outside world, little appears to have changed. But beneath the glossy exterior, and almost always hidden from view, accelerator chips are becoming an integral part of most des... » read more

Mask Modeling In The EUV Era
By Ryan Pearman - 20 Jul, 2017 - Comments: 0

D2S reviews the challenges of mask modeling in the EUV era, including the need for dose/shape separation and mid-range correction, and the impact of GPU acceleration. https://youtu.be/iVqkoVMbK4o » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

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