tag: NPU

Looking Beyond TOPS/W: How To Really Compare NPU Performance
By Paul Karazuba - 23 Mar, 2023 - Comments: 0

There is a lot more to understanding the true capabilities of an AI engine beyond TOPS per watt. A rather arbitrary measure of the number of operations of an engine per unit of power, the TOPS/W metric completely misses the point that a single operation on one engine may accomplish more useful work than a multitude of operations on another engine. In any case, TOPS/W is by no means the only spe... » read more

New Neural Processors Address Emerging Neural Networks
By Gordon Cooper - 05 May, 2022 - Comments: 0

It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale Visual Recognition Competition (ILSVRC). AlexNet, and its successors, provided significant improvements in object classification accuracy at the cost of intense computational complexity and large da... » read more

Growth Spurred By Negatives
By Brian Bailey - 27 Jan, 2022 - Comments: 0

The success and health of the semiconductor industry is driven by the insatiable appetite for increasingly complex devices that impact every aspect of our lives. The number of design starts for the chips used in those devices drives the EDA industry. But at no point in history have there been as many market segments driving innovation as there are today. Moreover, there is no indication this... » read more

AI/ML Workloads Need Extra Security
By Bryon Moyer - 15 Nov, 2021 - Comments: 0

The need for security is pervading all electronic systems. But given the growth in data-center machine-learning computing, which deals with extremely valuable data, some companies are paying particular attention to handling that data securely. All of the usual data-center security solutions must be brought to bear, but extra effort is needed to ensure that models and data sets are protected ... » read more

What Is An xPU?
By Brian Bailey - 11 Nov, 2021 - Comments: 0

Almost every day there is an announcement about a new processor architecture, and it is given a three-letter acronym — TPU, IPU, NPU. But what really distinguishes them? Are there really that many unique processor architectures, or is something else happening? In 2018, John L. Hennessy and David A. Patterson delivered the Turing lecture entitled, "A New Golden Age for Computer Architecture... » read more

Powering The Edge: Driving Optimal Performance With Ethos-N77 Processor
By Arm - 10 Feb, 2021 - Comments: 0

Repurposing a CPU, GPU, or DSP is an easy way to add ML capabilities to an edge device. However, where responsiveness or power efficiency is critical, a dedicated Neural Processing Unit (NPU) may be the best solution. In this paper, we describe how the Arm Ethos-N77 NPU delivers optimal performance. Click here to read more. » read more

Powering The Edge: Driving Optimal Performance With Ethos-N77 Processor
By Arm - 09 Dec, 2020 - Comments: 0

Repurposing a CPU, GPU, or DSP is an easy way to add ML capabilities to an edge device. However, where responsiveness or power efficiency is critical, a dedicated Neural Processing Unit (NPU) may be the best solution. In this paper, we describe how the Arm Ethos-N77 NPU delivers optimal performance. Click here to immediately download the paper. » read more

The Next Phase Of Computing
By Ed Sperling - 16 Nov, 2020 - Comments: 0

Apple's new M1 chip offers a glimpse of what's ahead, and not just from Apple. Being able to get 18 to 20 hours of battery life from a laptop computer moves the ball much farther down the field in semiconductor design. All of this is entirely dependent on the applications, of course. But what's important here is how much battery life and performance can be gained by designing hardware specif... » read more

Designs Beyond The Reticle Limit
By Brian Bailey - 12 Nov, 2020 - Comments: 0

Designs continue to grow in size and complexity, but today they are reaching both physical and economic challenges. These challenges are causing a reversal of the integration trend that has provided much of the performance and power gains over the past couple of decades. The industry, far from giving up, is exploring new ways to enable designs to go beyond the reticle size, which is around 8... » read more

Sensor Fusion Challenges In Cars
By Ann Mutschler - 08 Oct, 2020 - Comments: 0

The automotive industry is zeroing in on sensor fusion as the best option for dealing with the complexity and reliability needed for increasingly autonomous vehicles, setting the stage for yet another shift in how data from multiple devices is managed and utilized inside a vehicle. The move toward greater autonomy has proved significantly more complicated than anyone expected at first. There... » read more

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