
The GPU “Expanse”: HPC Acceleration for the Masses
In the early days of GPU-accelerated supercomputers, accelerators were installed with the mission of delivering ultra-high performance for a few select codes. …
In the early days of GPU-accelerated supercomputers, accelerators were installed with the mission of delivering ultra-high performance for a few select codes. …
The GPU has become a standard platform for accelerating high performance computing workloads, at least for those that have had their code tweaked to support acceleration at all. …
Nvidia co-founder and chief executive officer, Jensen Huang, would be the first one to tell you that the graphics chip maker was an unintended innovator in supercomputing, that what the engineers who created the first Nvidia GPUs were really trying to do was enable 3D video games. …
High performance computing (HPC) enables organizations to work more quickly and effectively than traditional compute platforms—but that might not be enough to succeed in today’s evolving digital marketplace. …
Nicola Sessions, Sr. Product Marketing Manager, NVIDIA
High performance computing (HPC) enables organizations to work more quickly and effectively than traditional compute platforms—but that might not be enough to succeed in today’s evolving digital marketplace. …
All the shiny and zippy hardware in the world is meaningless without software, and that software can only go mainstream if it is easy to use. …
In Supercomputing Conference (SC) years past, chipmaker Intel has always come forth with a strong story, either as an enabling processor or co-processor force, or more recently, as a prime contractor for a leading-class national lab supercomputer. …
When Intel announced its “Falcon Shores” project to build a hybrid CPU-GPU compute engine back in February 2022 that allowed the independent scaling of CPU and GPU capacity within a single socket, it looked like the chip maker was preparing to take on rivals Nvidia and AMD head on with hybrid compute motors, which Intel calls XPUs, AMD calls APUs, and Nvidia doesn’t really have if you want to be strict about what its “superchips” are and what they are not. …
Not all important supercomputers are on the twice-a-year Top500 rankings of machines. …
As long as great science gets done on the final incarnation of the “Aurora” supercomputer at Argonne National Laboratory, based on Intel’s CPUs and GPUs but not on its now defunct Omni-Path interconnect, people will eventually forget all of – well, most of – the grief that it took to get the massive machine to market. …
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