Authors: Mark Nossokoff, Bob Sorensen
Publication Date: March 2021
Length: 3 pages
Now more than ever, the key elements needed for high performance computing (HPC) performance leadership are a keen understanding of the system requirements to optimally support a growing array of heterogenous workloads and applications combined with the knowledge and creativity to realize the most appropriate hardware and software designs. The El Capitan machine being jointly developed by HPE and LLNL for the DoE NNSA ASC program provides two strong examples of exascale-driven architectural innovation: the Rabbit near-compute storage element and the Flux resource manager.
This Quick Take looks at Amazon's recent announcement of a new EC2 Bare Metal offering that provides users with direct, non-virtualized access to a processor, memory, storage and related networking instance. Amazon uses custom hardware in an effort to wring out the highest possible performance from the basic hardware set up while still offering a full complement of cloud-based software support. This development is a positive one for HPC users looking to migrate workloads to public clouds as Amazon is addressing one of the most vexinghurdles of HPC in the cloud: the performance overhead of running applicationsin a virtualized, performance limiting environment.
January 2018 | Quick Take
This inaugural, two-day AI Hardware summit held in Mountain View, California, at the Computer History Museum, brought together researchers, vendors, and users to explore the development of the AI ecosystem from a hardware perspective. Large companies, startups, and analysts joined to hear over 30 speakers and roundtables. Although the overall theme was all AI hardware, many of the presentations focused on AI processors and the work that is being done to design hardware to further the development of the evolving and growing field of AI, machine learning, and deep learning.
November 2018 | Quick Take