HPE Unveils Computer Built for the Era of Big Data
May 16 2017 - 8:00AM
Hewlett Packard Enterprise’s (NYSE:HPE) today introduced the
world’s largest single-memory computer, the latest milestone in The
Machine research project (The Machine). The Machine, which is the
largest R&D program in the history of the company, is aimed at
delivering a new paradigm called Memory-Driven Computing – an
architecture custom-built for the Big Data era.
“The secrets to the next great scientific breakthrough,
industry-changing innovation, or life-altering technology hide in
plain sight behind the mountains of data we create every day,” said
Meg Whitman, CEO of Hewlett Packard Enterprise. “To realize this
promise, we can’t rely on the technologies of the past, we need a
computer built for the Big Data era.”
The prototype unveiled today contains 160 terabytes (TB) of
memory, capable of simultaneously working with the data held in
every book in the Library of Congress five times over – or
approximately 160 million books. It has never been possible to hold
and manipulate whole data sets of this size in a single-memory
system, and this is just a glimpse of the immense potential of
Memory-Driven Computing.1
Scalability & Societal ImplicationsBased on
the current prototype, HPE expects the architecture could easily
scale to an exabyte-scale single-memory system and, beyond that, to
a nearly-limitless pool of memory – 4,096 yottabytes. For context,
that is 250,000 times the entire digital universe today.
With that amount of memory, it will be possible to
simultaneously work with every digital health record of every
person on earth; every piece of data from Facebook; every trip of
Google’s autonomous vehicles; and every data set from space
exploration all at the same time – getting to answers and
uncovering new opportunities at unprecedented speeds.
“We believe Memory-Driven Computing is the solution to move the
technology industry forward in a way that can enable advancements
across all aspects of society,” said Mark Potter, CTO at HPE and
Director, Hewlett Packard Labs. “The architecture we have unveiled
can be applied to every computing category – from intelligent edge
devices to supercomputers.”
Memory-Driven Computing puts memory, not the processor, at the
center of the computing architecture. By eliminating the
inefficiencies of how memory, storage and processors interact in
traditional systems today, Memory-Driven Computing reduces the time
needed to process complex problems from days to hours, hours to
minutes, minutes to seconds – to deliver real-time
intelligence.
Technical SpecificationsThe new prototype
builds on the achievements of The Machine research program,
including:
- 160 TB of shared memory spread across 40 physical nodes,
interconnected using a high-performance fabric protocol
- An optimized Linux-based operating system (OS) running on
ThunderX2, Cavium’s flagship second generation dual socket capable
ARMv8-A workload optimized System on a Chip.
- Photonics/Optical communication links, including the new X1
photonics module, are online and operational; and
- Software programming tools designed to take advantage of
abundant persistent memory.
“Cavium shares HPE’s vision for Memory-Driven Computing and is
proud to collaborate with HPE on The Machine program,” said Syed
Ali, President & CEO of Cavium Inc. ”HPE’s groundbreaking
innovations in Memory-Driven Computing will enable a new compute
paradigm for a variety of applications, including the next
generation data center, cloud and high performance computing.”
To learn more about Memory-Driven Computing and The Machine
research program, please visit: www.hpe.com/TheMachine.
About Hewlett Packard Enterprise Hewlett
Packard Enterprise is an industry-leading technology company that
enables customers to go further, faster. With one of the industry's
most comprehensive portfolios, spanning the cloud to the data
center to workplace applications, our technology and services help
customers around the world make IT more efficient, more productive
and more secure.
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____________________
1 We qualify a single-memory system as one with a single
address space.
Editorial contact
Simon Bowers
Simon.fra.bowers@hpe.com
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