Timothy Prickett Morgan

Author Archives: Timothy Prickett Morgan

Cray Slingshots Back Into HPC Interconnects With Shasta Systems

While processors and now GPUs tend to get all of the glory when it comes to high performance computing, for the past three decades as distributed computing architectures became the norm in supercomputing, it has been the interconnects that made all the difference in how well – or poorly – these systems perform.

Cray Slingshots Back Into HPC Interconnects With Shasta Systems was written by Timothy Prickett Morgan at .

Berkeley Lab First In Line for Cray “Shasta” Supercomputers

For the past five years, supercomputer maker Cray has been diligently at work not only creating a new system architecture that allows for a mix of different interconnects and compute for its future “Shasta” systems, but has also brought long-time Cray chief technology officer, Steve Scott, back into the company after two stints spent at Nvidia and Google to create a new interconnect, called “Slingshot,” that is the beating heart of the Shasta system and that signals a return of the Cray that we know and love.

Berkeley Lab First In Line for Cray “Shasta” Supercomputers was written by Timothy Prickett Morgan at .

Deep Learning Is Coming Of Age

In the early days of artificial intelligence, Hans Moravec asserted what became known as Moravec’s paradox: “It is comparatively easy to make computers exhibit adult-level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility.”

This assertion is now unraveling primarily due to the ascent of deep learning.

Deep Learning Is Coming Of Age was written by Timothy Prickett Morgan at .

Hadoop And Spark Get A Vector Performance Boost

Ever since the “Aurora” vector processor designed by NEC was launched last year, we have been wondering if it might be used as a tool to accelerate workloads other than the traditional HPC simulation and modeling jobs that are based on crunching numbers in single and double precision floating point.

Hadoop And Spark Get A Vector Performance Boost was written by Timothy Prickett Morgan at .

Where The FPGA Hits The Server Road For Inference Acceleration

There are an increasing number of ways to do machine learning inference in the datacenter, but one of the increasingly popular means of running inference workloads is the combination of traditional CPUs acting as a host for FPGAs that run the bulk of the inferring.

Where The FPGA Hits The Server Road For Inference Acceleration was written by Timothy Prickett Morgan at .

Hadoop Needs To Be A Business, Not Just A Platform

It is safe to say that a little more than a decade ago, when the clone of Google’s MapReduce and Google File System distributed storage and computing platform was cloned at Yahoo and offered up to the world as a way to transform the nature of data analytics at scale, that we all had much higher hopes for the emergence of platforms centered around Hadoop that would change enterprise, not just webscale, computing.

Hadoop Needs To Be A Business, Not Just A Platform was written by Timothy Prickett Morgan at .

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