UPDATED Like many HPC and AI system builders, we are impatient to see what the “Antares” Instinct MI300A hybrid CPU-GPU system on chip from AMD might look like in terms of performance and price. …
If the HPC community didn’t write the Comprehensive Nuclear Test Ban Treaty of 1996, it would have been necessary to invent it. …
We were under the distinct impression that AMD was not going to talk much about its datacenter compute engines at the Consumer Electronics Show, having just launched its “Genoa” Epyc 9004 server CPUs in November with much fanfare. …
In March 2020, when Lawrence Livermore National Laboratory announced the exascale “El Capitan” supercomputer contract had been awarded to system builder Hewlett Packard Enterprise, which was also kicking in its “Rosetta” Slingshot 11 interconnect and which was tapping future CPU and GPU compute engines from AMD, the HPC center was very clear that it would be using off-the-shelf, commodity parts from AMD, not custom compute engines. …
Decades before there were hyperscalers and cloud builders started creating their own variants of compute, storage, and networking for their massive distributed systems, the major HPC centers of the world fostered innovative technologies that may have otherwise died on the vine and never been propagated in the market at large. …
The Slurm Workload Manager that has its origins at Lawrence Livermore National Laboratory as the Simple Linux Utility for Resource Management – and which is used on about two-thirds of the most powerful HPC systems in the world – is looking for new jobs to take on across hybrid cloud infrastructure and machine learning systems running at scale. …
There are a lot of new technologies that are available now or are going to be available shortly that have the potential to radically change the compute, memory, and storage hierarchies in systems. …
When it comes to advanced technologies at the high end of compute, networking, and storage, Lawrence Livermore National Laboratory is one of the world’s pathfinding testbeds. …
With 5.4 petaflops of peak performance crammed into 760 compute nodes, that is a lot of computing capability in a small space generating a considerable amount of heat. …
Normally, supercomputers installed at academic and national laboratories get configured once, acquired as quickly as possible before the money runs out, installed and tested, qualified for use, and put to work for a four or five or possibly longer tour of duty. …
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