5 ms·

"greater than 1.5 exaflops" of performance will likely correspond to greater than 1 Exaflop of sustained performance on HPL (used for the top-500 ranking), maki

"greater than 1.5 exaflops" of performance will likely correspond to greater than 1 Exaflop of sustained performance on HPL (used for the top-500 ranking), making this a likely candidate for the first 'true' exascale computer.

shifto 7y ago
But will it run Crysis?
- azhenley 7y ago
  This is just a few miles down the road from me. I can try to see if they will let me run it...
  - kincl 7y ago
    The call for proposals for INCITE (one of the programs we provide cycles for) is open for 2020 but this would be for Summit not Frontier this time around :) http://www.doeleadershipcomputing.org/proposal/call-for-proposals/ http://www.doeleadershipcomputing.org/proposal/call-for-prop...
- gnode 7y ago
  Taking this idea more seriously than intended: is this practical? I've heard of CPU clusters being used for network distributed realtime raytracing. Is there a DirectX / OpenGL API implementation for this?
opportune 7y ago
Out of curiosity what makes this an exascale computer and not, say, an AWS or Azure datacenter? Just the fact that they are open about benchmarking #pflops?
- arcanus 7y ago
  Good question. Technically speaking just running HPL on a cluster is sufficient to get it ranked on top-500. In reality, most HPC sites use high performance interconnects, such as infiniband or a proprietary high performance ethernet. They are also less likely to use virtualization, and every node looks 'bare metal'. The software stacks are very different, from everything between the distributed memory model, compilers, to the system schedulers and diagnostic software. Nevertheless, there is a great deal of convergence happening between HPC and hyperscale data centers, particularly as hyperscale uses more machine learning, which has a similar flavor to HPC. Many believe that the FANG companies have exaflop capabilities already, but they just aren't well optimized for scientific workloads.

shifto 7y ago

But will it run Crysis?

azhenley 7y ago
This is just a few miles down the road from me. I can try to see if they will let me run it...
- kincl 7y ago
  The call for proposals for INCITE (one of the programs we provide cycles for) is open for 2020 but this would be for Summit not Frontier this time around :) http://www.doeleadershipcomputing.org/proposal/call-for-proposals/ http://www.doeleadershipcomputing.org/proposal/call-for-prop...
gnode 7y ago
Taking this idea more seriously than intended: is this practical? I've heard of CPU clusters being used for network distributed realtime raytracing. Is there a DirectX / OpenGL API implementation for this?

opportune 7y ago

Out of curiosity what makes this an exascale computer and not, say, an AWS or Azure datacenter? Just the fact that they are open about benchmarking #pflops?

arcanus 7y ago
Good question. Technically speaking just running HPL on a cluster is sufficient to get it ranked on top-500. In reality, most HPC sites use high performance interconnects, such as infiniband or a proprietary high performance ethernet. They are also less likely to use virtualization, and every node looks 'bare metal'. The software stacks are very different, from everything between the distributed memory model, compilers, to the system schedulers and diagnostic software. Nevertheless, there is a great deal of convergence happening between HPC and hyperscale data centers, particularly as hyperscale uses more machine learning, which has a similar flavor to HPC. Many believe that the FANG companies have exaflop capabilities already, but they just aren't well optimized for scientific workloads.