China Pushes Breadth-First Search Across Ten Million Cores
There is increasing interplay between the worlds of machine learning and high performance computing (HPC). …
There is increasing interplay between the worlds of machine learning and high performance computing (HPC). …
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …
If the name Kwabena Boahen sounds familiar, you might remember silicon that emerged in the late 1990s that emulated the human retina. …
Ethernet switching has its own kinds of Moore’s Law barriers. The transition from 10 Gb/sec to 100 Gb/sec devices over the past decade has been anything but smooth, and a lot of compromises had to be made to even get to the interim – and unusual – 40 Gb/sec stepping stone towards the 100 Gb/sec devices that are ramping today in the datacenter. …
One way to characterize the challenges of achieving exascale, is to look at how advancing compute, memory/storage, software, and fabric will lead to a future-generation balanced system. …
High performance computing in its various guises is not just determined by the kind and amount of computing that is made available at scale to applications. …
It has just been announced that there has been a shift in thinking among the exascale computing leads in the U.S. …
Moore’s Law may be slowing down performance increases in compute capacity, but InfiniBand networking did not get the memo. …
If there is any organization on the planet that has had a closer view of the coming demise of Moore’s Law, it is the Institute of Electrical and Electronics Engineers (IEEE). …
Although the timeline for reaching exascale class computing continues to stretch farther into the future, research teams are keeping an eye on what technologies will shape the machines of the post-exascale timeframe, which is in the 2022-2030 timeframe. …
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