On the Supercomputer Technology Crisis
scoobrs writes "Experts claim America has been eating our 'supercomputer feed corn' by developing clusters rather than new supercomputer processors and interconnects. Forbes says America is playing catch-up and that the new federal budget items are too little too late. Cray is laying people off due to decreased federal spending and claims lower margin products have forced them to create products based on commodity parts. Red Storm, one of their new Linux-based products, is being delayed to next year."
Random Array of Inexpensive Servers.
If the 'supercomputers' of today are increasing performance, does it really matter the design?
Maybe that is a signal that monolithic computer tasks are best handled in a hive mentality - have the Queen issue the big orders, have the warriors performing security, have the workers transporting the goodies (data), and have the requisite extra daughters and suitors to grow the hive and assure its viability (redundancy).
The fact that it is cost-effective is even better.
I've seen a lot of naive comments suggesting that supercomputers are being replaced by clusters. The truth is, anyone who can replace their supercomputer with a cluster didn't need a supercomputer in the first place:
- (compared to a supercomputer):
- The prime advantage of an x86-based server is that it is cheap, and it has a fast processor. It is only fast for applications in which the whole dataset resides in memory - and even then, it is still the slowest of the group.
- Clusters are a little better, but suffer from severe scalability problems when driving IO-bound processes. As with the x86 server, if you can't put the full dataset into memory, you might as well forget using a cluster. The node to node throughput is several orders of magnitude slower than the processor bus in multiple CPU systems. (6.4GB/s vs 17MB/s for regular ethernet, or 170MB/s for Gigabit)
- Multiple CPU servers do better, but still lack the massive storage capacity of the mainframe. They work better than clusters for parallel algorithms requiring frequent syncronization, but still suffer from a lack of overall data storage capacity and throughput.
- Mainframes, OTOH, possess relatively modest processors, but the combined effect of having several of them, and the massive IO capability makes them very good for data processing. However, their processors aren't fast at anything, and often run at 1/2 or 1/3 the speed of their desktop counterparts.
- Supercomputers combine the IO throughput of a mainframe with the fast processors typically associated with RISC architectures (if you can still consider anything RISC or CISC nowadays). They have faster processors, more memory, and much greater IO throughput than any other category.
It used to be that the prime reason for faster computers came from the scientific and business communities. But now that the internet has turned computers into glorified televisions, the challenges have gone from that of crunching numbers to serving content:As our economy has shifted away from a technological base to an entertainment one, the need for supercomputers has begun to evaporate. We outsource innovation overseas so that we can lounge around on the couch watching tv and drinking beer (or surfing the net and drinking beer). The primary purpose of technological innovation has shifted from that of discovering the universe to merely bringing us better entertainment.
The society for a thought-free internet welcomes you.