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John O | March 2017

ARM unveils latest generator of processors focusing on AI and machine learning


in a blog post on arm community, nandan nayampally, the vice president of marketing for the cpu group at arm, previewed the company’s latest generation processor design, dynamiq, which is focused on providing better connections between wider varieties of cpus and devices with a focus on improving and expanding artificial intelligence (ai) and machine learning at the cloud and the device level.

 

arm_600

arm has unveiled details about its latest technology, dynamiq. (arm)

 

nayampally wrote, “dynamiq technology will be pervasive in our cars, our homes, and of course our smartphones as well as countless other connected devices where machine learning is applied to the zettabytes of data they generate – both within the cloud and at the device level – advancing ai for a more natural and intuitive user experience.”

 

among the features that arm highlighted about dynamiq were dedicated processors for machine learning and ai that will boost ai performance by as much as 50 percent over the next t3-5 years compared to cortex-a73 systems and 10 times faster response between cpu and system-on-a-chip (soc) hardware.

 

there will also be more flexibility for soc designers to scale up to eight cores in a single cluster, which will again make the processor more responsive to machine learning and ai applications. importantly, there will be independent frequency control of individual processors to restrict thermal budgets.

 

also, dynamiq will bring greater responsiveness for advanced driver assistance systems (adas) to increase safety capabilities.

 

nayampally concluded, “today we are giving you a glimpse of what’s ahead for the cortex-a processors that will help to power the next 100 billion arm-based chips. arm is uniquely positioned to transform and accelerate compute solutions such as ai wherever compute happens as it is the only common compute architecture from sensor to server.”

 

according to an article from the verge, dynamiq is building on arm’s “big.little” approach that pairs clusters of powerful processors with power-sipping processors. the article explained, “dynamiq adds more variety to this system, supporting core that aren’t just big or little, but anywhere in between, with the ability to connect up to eight different cpus of any configuration — an approach to chip design known as heterogeneous computing.”

 

this approach, according to the article, enables great flexibility and adaptability to meet the user’s needs.

 

“but, dynamiq goes beyond offering just additional flexibility,” it continued, “and will also let chip makers optimize their silicon for tasks like machine learning. companies will have the option of building ai accelerators directly into chips, helping systems manage data and memory more efficiently.”

 

zdnet.com added, “arm has yet to announce its new cortex-a processors, but the cambridge company says ‘multiple partners’ are already working with dynamiq technology. those partners will be announced when the new processors are launched later this year, while products based on this technology should be available sometime in 2018.”

 

hothardware.com noted, “previous (and current) generation cortex cores aren’t capable of supporting dynamiq, which means that we’ll be seeing new core designs over the coming months which incorporate the architecture. and hopefully at that time, we’ll receive some hard data on how performance and overall efficiency compares to existing big.little configurations.”

 

arm is confident that this new design will be the future of the industry with nayampally explaining that the company believe it will ship 100 billion units by 2021 and that this will become the standard processor for mobile devices, including smartphones. 

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