The New General And New Purpose In Computing
The term “general purpose” in regards to compute is an evolving one. …
The term “general purpose” in regards to compute is an evolving one. …
A new CPU or GPU compute engine is always an exciting time for the datacenter because we get to see the results of years of work and clever thinking by hardware and software engineers who are trying to break through barriers with both their Dennard scaling and their Moore’s Law arms tied behind their backs. …
It is not inconceivable, but probably also not very likely, that the datacenter business at GPU juggernaut Nvidia could at some point in the next one, two, or three years equal that of the core and foundational gaming sector. …
Microsoft Azure has been able to put actual Cray XC series supercomputers and CS Storm clusters in the public cloud for more than two years now, and it is unclear how many companies have commissioned Cray, now part of Hewlett Packard Enterprise, to do so. …
Processor hardware for machine learning is in their early stages but it already taking different paths. …
If you were expecting Nvidia to start talking about its future “Ampere” or “Einstein” GPUs for Tesla accelerated computing soon just because AMD is getting ready to roll out “Navi” GPUs next year and Intel is working on its Xe GPU cards for delivery next year, too, you are going to have to wait a bit longer. …
In the HPC cloud business, Oracle is a relative newcomer. As we reported in November 2018, the company jumped into the fray less than a year ago with HPC bare metal servers hooked together with a 100 Gb/sec RDMA network. …
GPU chip maker Nvidia doesn’t just make the devices that end up in some of the largest supercomputers in the world. …
Creating the Tesla GPU compute platform has taken Nvidia the better part of a decade and a half, and it has culminated in a software stack comprised of various HPC and AI frameworks, the CUDA parallel programming environment, compilers from Nvidia’s PGI division and their OpenACC extensions as well as open source GCC compilers, and various other tools that together account for tens of millions of lines of code and tens of thousands of individual APIs. …
Although artificial intelligence is relatively new to the HPC scene, it can arguably be cast as the quintessential high performance computing workload. …
All Content Copyright The Next Platform