Compute
Great Lakes Super To Remove Islands Of Compute
It is hard to say for sure, but there is probably as much aggregate computing capacity in the academic supercomputing centers of the world as there are in the big national labs. …
Articles by Timothy Prickett Morgan
AI
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. …
AI
Someone Has To Pay To Push The Bleeding Edge Of Systems
When you look at IBM, it is as if you are seeing many different instantiations of Big Blue across time playing out in the present, side by side. …
AI
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. …
Cloud
A New Datacenter Compels Arm To Create A New Chip Line
The gap between processor architectures in the datacenter server and on the desktop or on our laps or now in our hands thanks to transistor shrinks over the past decade is getting bigger. …
AI
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. …
AI
Teasing Out The Bang For The Buck Of Inference Engines
There is a battle heating up in the datacenter, and there are tens of billions of dollars at stake as chip makers chase the burgeoning market for engines that do machine learning inference. …
AI
Shooting The Machine Learning Rapids With Open Source
There are a lot of different kinds of machine learning, and some of them are not based exclusively on deep neural networks that learn from tagged text, audio, image, and video data to analyze and sometimes transpose that data into a different form. …
Compute
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. …
Compute
In A Parallel Universe, Data Warehouses Run On GPUs
Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically speed up the time it takes to run complex queries against large datasets. …