Sky-High Hurdles, Clouded Judgements for IaaS at Exascale
Back in 2009, I was the editor of a mini-side publication from supercomputing magazine, HPCwire, called HPC in the Cloud. …
Back in 2009, I was the editor of a mini-side publication from supercomputing magazine, HPCwire, called HPC in the Cloud. …
Every orchestra needs a conductor to keep everyone playing together on pace, and while a good conductor doesn’t need to know how to play every instrument well, they have to know how to play many instruments and also to understand how it all comes together to create a symphony. …
Yesterday with the announcement of the forthcoming El Capitan supercomputer, which is set to be more powerful than the top 200 supercomputers combined, we got to thinking about a critical issue that is far less attention-capturing than big performance numbers. …
Computing power and big data are fundamental to the bioinformatic research being carried out by the Leadership Computing Facility at the Oak Ridge National Laboratory (ORNL) in Tennessee. …
Big iron aficionados packed the room when ORNL’s Jack Wells gave the latest update on the upcoming 207 petaflops Summit supercomputer at the GPU Technology Conference (GTC18) this week. …
On today’s podcast episode of “The Interview” with The Next Platform, we focus on some of the recent quantum computing developments out of Oak Ridge National Lab’s Quantum Computing Institute with the center’s director, Dr. …
It is difficult to shed a tear for Moore’s Law when there are so many interesting architectural distractions on the systems horizon. …
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …
Just a few years ago, the promise of ultra-low power, high performance computing was tied to the rather futuristic-sounding vision of a “brain chip” or neuromorphic processor, which could mimic the brain’s structure and processing ability in silicon—quickly learning and chewing on data as fast as it could be generated. …
While graph analytics is not a likely replacement for the standard relational databases that many companies will stick with for many years to come, the value of graphs for a particular set of knowledge discovery applications has become clearer with a widening set of use cases in areas ranging from security, fraud detection, medical research, financial services, and a number of other segments. …
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