HP Enterprise Demos Memory-Driven Computing Architecture

 

LONDON, UK – Hewlett Packard Enterprise said it has successfully demonstrated Memory-Driven Computing, a concept that puts memory, not processing, at the center of the computing platform to realize performance and efficiency gains not possible today.

The announcement was made at HP Enterprise’s Discover London event.

Developed as part of The Machine research program, HPE’s proof-of-concept prototype represents a major milestone in the company’s efforts to transform the fundamental architecture on which all computers have been built for the past 60 years.

Gartner predicts that by 2020, the number of connected devices will reach 20.8 billion and generate an unprecedented volume of data, which is growing at a faster rate than the ability to process, store, manage and secure it with existing computing architectures.

“We have achieved a major milestone with The Machine research project — one of the largest and most complex research projects in our company’s history,” said Antonio Neri, Executive Vice President and General Manager of the Enterprise Group at HPE. “With this prototype, we have demonstrated the potential of Memory-Driven Computing and also opened the door to immediate innovation. Our customers and the industry as a whole can expect to benefit from these advancements as we continue our pursuit of game-changing technologies.”

The proof-of-concept prototype, which was brought online in October, shows the fundamental building blocks of the new architecture working together, just as they had been designed by researchers at HPE and its research arm, Hewlett Packard Labs. HPE has demonstrated:

  • Compute nodes accessing a shared pool of Fabric-Attached Memory;
  • An optimized Linux-based operating system (OS) running on a customized System on a Chip (SOC);
  • Photonics/Optical communication links, including the new X1 photonics module, are online and operational; and
  • New software programming tools designed to take advantage of abundant persistent memory.

During the design phase of the prototype, simulations predicted the speed of this architecture would improve current computing by multiple orders of magnitude. The company has run new software programming tools on existing products, illustrating improved execution speeds of up to 8,000 times on a variety of workloads. HPE expects to achieve similar results as it expands the capacity of the prototype with more nodes and memory.

In addition to bringing added capacity online, The Machine research project will increase focus on exascale computing. Exascale is a developing area of High Performance Computing (HPC) that aims to create computers several orders of magnitude more powerful than any system online today. HPE’s Memory-Driven Computing architecture is incredibly scalable, from tiny IoT devices to the exascale, making it an ideal foundation for a wide range of emerging high-performance compute and data intensive workloads, including big data analytics.