On Wednesday, Jan. 9, at 11 a.m. PST/2 p.m. EST/7 p.m. GMT, @eWEEKNews will host its monthly #eWEEKChat. The topic will be "Is Memory-Based Computing Where IT Is Going?" It will be moderated by Chris Preimesberger, eWEEK's editor in chief.
Some quick facts:
Topic: "Is Memory-Based Computing Where IT Is Going?"
Date/time: Jan. 9, 2018 @11a.m. PST/2 p.m. EST/7 p.m. GMT
Hosted by: @eWEEKNews
Moderator: Chris Preimesberger: @editingwhiz
Tweetchat handle: You can use #eWEEKChat to follow/participate via Twitter itself, but it's easier and more efficient to use the real-time chat room link at CrowdChat. Instructions are on that page.
Memory-Based Computing: Future of IT in General?
Two years ago, Hewlett Packard Enterprise pulled the wraps off an interesting project called The Machine, a bold move to reimagine data center architecture by putting memory, instead of processors, into the forefront.
This was the newest iteration of something called Memory-Driven Computing, a concept that puts memory at the center of the computing platform to realize performance and efficiency gains not possible today.
Ostensibly, memory-driven computing will enable workloads to be completed much faster, enabling use cases such as artificial intelligence, big-data analytics, genome processing, oil and gas exploration, weather prediction and other others to become run-of-the-mill workloads.
Growing Number of Connected Devices Requiring New Computing Models
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. Thus, in-memory processing appears to be a viable solution for many of these tasks via exascale computing.
HPE’s idea of in-memory computing includes:
- compute nodes accessing a shared pool of Fabric-Attached Memory;
- an optimized Linux-based operating system 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 said it has run new software programming tools on existing products, illustrating improved execution speeds of up to 8,000 times on a variety of workloads.
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 currently online.
HPE claims its Memory-Driven Computing architecture is 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.
Some of the questions we’ll pose on Jan. 9 are:
- How viable is in-memory computing for most device makers?
- Is it just for the big players, or will any business be able to use it?
- Will cloud be the most optimal way to access in-memory computing?
- What are the drawbacks to in-memory computing?
Join us Jan. 9 at 11 a.m. Pacific/2 p.m. Eastern/7 p.m. GMT for an hour. Chances are good that you'll learn something valuable.
#eWEEKchat 2019 Schedule
Jan. 9: Is Memory-Based Computing Where It's All Going?
Feb. 13: Edge Computing: IT's Newest Greenfield
March 13: How Enterprises Can Get Truth into All Their Data
April 10: Where Are We Going to Store All This Data?
May 8: The Status of DevOps and Agile Development in 2019
June 12: New Trends and Services in Network-Centric Security
July 10: How to Plan a New Data Center Development
Aug. 14: Is Low- and No-Code Application Development Still Trendy?
Sept. 11: TBA
Oct. 9: New Mobile Apps, Devices We Can Expect This Christmas
Nov. 13: New Tools for Enterprise Collaboration
Dec. 11: Predictions and Wild Guesses for IT in 2020