It has been a noteworthy year in hardware in the world of high performance computing, although to be fair, much of the attention has been centered on emerging architecture and future systems that are set to start appearing as early as this time next year. …
A hypothetical scenario here.
So, let’s say you are far and away the world’s largest supplier of microprocessors. …
One of the key themes to improving the performance of clusters running simulations has been the offloading of common routines from the central processors in the servers to accelerators in the network adapter cards that plug into the servers and that interface with switches. …
With the end of physical nuclear testing came an explosion in computing technology at massive scale to simulate in rich detail and high resolution the many scenarios and factors that influence a hefty nuclear weapons stockpile. …
There is a gentle touch of hypocrisy about the supercomputing world. …
The progression in performance per watt for Nvidia’s Tesla line of GPU coprocessors is continuing apace now that the graphics chip maker is delivering two shiny new devices based on its “Maxwell” generation of chips. …
Object storage is not a new technology, but it is something that many enterprises are just starting to adopt as they follow the hyperscalers and HPC centers away from the overhead and scalability limits of traditional storage and its file systems. …
For more than a decade, graphics processor maker Nvidia has been championing the adoption of GPU accelerators as heavy-lifting compute engines for an increasing array of applications that can take advantage of the parallel processing inherent in a GPU. …
Sometimes you have to break something to make it work right. …
When it comes to issues that keep cropping up in exascale computing circles beyond the expected hardware, parallelization, and power consumption topics, the matter of reproducibility is often on the list. …
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