tag: GPU

Chiplets, Faster Interconnects, More Efficiency
By Ed Sperling - 22 Aug, 2019 - Comments: 1

Big chipmakers are turning to architectural improvements such as chiplets, faster throughput both on-chip and off-chip, and concentrating more work per operation or cycle, in order to ramp up processing speeds and efficiency. Taken as a whole, this represents a significant shift in direction for the major chip companies. All of them are wrestling with massive increases in processing demands ... » read more

Why Scaling Must Continue
By Ed Sperling - 15 Aug, 2019 - Comments: 3

The entire semiconductor industry has come to the realization that the economics of scaling logic are gone. By any metric—price per transistor, price per watt, price per unit area of silicon—the economics are no longer in the plus column. So why continue? The answer is more complicated than it first appears. This isn't just about inertia and continuing to miniaturize what was proven in t... » read more

Powering The Edge: Driving Optimal Performance With the Arm ML Processor
By Arm - 07 Aug, 2019 - Comments: 0

On-device machine learning (ML) processing is already happening in more than 4 billion smart phones. As the adoption of connected devices continues to grow exponentially, the resulting data explosion means cloud processing could soon become an expensive and high-latency luxury. The Arm ML processor is defining the future of ML inference at the edge, allowing smart devices to make independent... » read more

Where Should Auto Sensor Data Be Processed?
By Ann Mutschler - 01 Aug, 2019 - Comments: 0

Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest because there is a long list of technological issues that still need to be resolved. One of the basic problems that still needs to be solved is how to process the tremendous amount of data coming from the variety of sensors in the vehicle, including cameras, radar, LiDAR and sonar. That data is the dig... » read more

Power Is Limiting Machine Learning Deployments
By Brian Bailey - 25 Jul, 2019 - Comments: 3

The total amount of power consumed for machine learning tasks is staggering. Until a few years ago we did not have computers powerful enough to run many of the algorithms, but the repurposing of the GPU gave the industry the horsepower that it needed. The problem is that the GPU is not well suited to the task, and most of the power consumed is waste. While machine learning has provided many ... » read more

Will In-Memory Processing Work?
By Brian Bailey - 16 Jul, 2019 - Comments: 1

The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits the effectiveness of cache. The result is the first serious assault on the von Neumann architecture, which for a computer was simple, scalable and modular. It separated the notion of a computatio... » read more

Differential Energy Analysis To Optimize Mobile GPU Power
By Ansys - 15 Jul, 2019 - Comments: 0

Operating power has become one of the most important metrics for modern electronic devices. Qualcomm Technologies, a world-class mobile solution provider, significantly reduced power consumption in an already challenging market by performing power analysis at RTL using ANSYS PowerArtist. Qualcomm Technologies was able to reduce dynamic power by 10 percent through this approach. To read more,... » read more

Inferencing Efficiency
By Ed Sperling - 11 Jul, 2019 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks with Semiconductor Engineering about how to measure efficiency in inferencing chips, how to achieve the most throughput for the lowest cost, and what the benchmarks really show. » read more

Rethinking What Goes On A Chip
By Ed Sperling - 27 Jun, 2019 - Comments: 0

There are hints across the chip industry that chipmakers are beginning to reexamine one of the basic concepts of chip design. For more than 50 years, progress in semiconductors was measured by the ability to double the density of transistors on a piece of silicon. While that approach continues to be useful, the power and performance benefits have been dwindling for the past couple of nodes. ... » read more

CEO Outlook: Rising Costs, Chiplets, And A Trade War
By Ed Sperling - 26 Jun, 2019 - Comments: 0

Semiconductor Engineering sat down to discuss what's changing across the semiconductor industry with Wally Rhines, CEO emeritus at Mentor, a Siemens Business; Jack Harding, president and CEO of eSilicon; John Kibarian, president and CEO of PDF Solutions; and John Chong, vice president of product and business development for Kionix. What follows are excerpts of that discussion, which was held in... » read more

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