First USGS supercomputer decommissioning makes way for successors
usgs.gov
usgs.gov
Check out the Paul Allen auction https://www.christies.com/en/stories/paul-allen-computer-col...
Pics or it didn't happen?
The Bench:
https://en.wikipedia.org/wiki/Cray-1#/media/File:Cray-1-p101...
You’ll want it next to your lobby, in the “computer aquarium”.
Cray was fascinating but the Altair changed everything and I'd oddly rather play with a working Altair in a museum than a Cray
https://www.nutsvolts.com/magazine/article/micro_memories_20...
https://www.nutsvolts.com/uploads/wygwam/NV_0103_Driscoll_P4...
docker run -p 8823:8823 rbanffy/altair-mpmSomebody who cares as much as I do, please buy this!
I saw the thing in the Computer History Museum in Mountain View. Highly highly recommend the museum to every HN user. I went through it twice, first with the greybeard volunteer guide, and then looped in by myself straightaway.
Here's a delightful snippet from that article btw:
> Alan Turing proposed the use of gin as an ultrasonic delay medium, claiming that it had the necessary acoustic properties.
It’ll be the largest computer in the solar system. Who’s in?
https://archive.org/details/TNM_Glass_computer_memories_-_Co...
I wanted to hook one up in a tv to see a 1" movie, or maybe a 3/4" movie with the aspect ratio but the refresh rate was really slow, so it was useful as a memory.
A modern LLM supercomputer could take that contemplative bench a step further, to a therapist's couch.
Though, constrained by the modern standard datacenter rack form factor of supercomputers, maybe you'd have to suspend the patient vertically in a cabinet. So long as they're less than 19 inches wide/thick.
What makes a super computer?
https://commons.wikimedia.org/wiki/File:MoMA_Exhibition,_CM-...
https://people.csail.mit.edu/bradley/cm5/corestore/cm5-2.jpg
0. https://en.wikipedia.org/wiki/File:MareNostrum_4_supercomput...
They aren't usually re-used as full compute racks because the infra required (cooling, power) is non trivial.
Edit:
The SuiteSparse collection (formerly UF matrix collection) is really great for this. You can download matrices with their year and some context about their application. The ones smart people were trying to figure out how to solve 20 years ago on clusters. And then you can marvel at how your laptop smashes them using PARDISO or some other direct sparse solver. Or you can try to figure out a clever way to solve them with 10 year old hardware.
I quickly closed the browser tab when I found out about the power requirements and noise.
These computers will probably not make it to CL but eBay and niche auctions might sell them.
Of course, if you have free power (or say, the power bill is paid by a different department), sure go wild and keep that old darling running.
I am still amazed at how far we've come. A Raspberry Pi5 is 31.4 Gflops at 8.6W ( https://web.eece.maine.edu/~vweaver/group/green_machines.htm... ). That would have put it on the first page 1993.
(aside: my favorite entry on there is still https://www.top500.org/system/173736/ )
apple really screwed over the virginia tech folks