Latest Top 500 Supercomputer List Released
chrb writes "BBC News is reporting on the release of the June 2010 Top 500 Supercomputer list. Notable changes include a second Chinese supercomputer in the top ten. A graphical display enables viewing of the supercomputer list by speed, operating system, application, country, processor, and manufacturer."
Holy crap, the supercomputers are so fast they're in the future!
Ya for Linux!
Seriously, if this doesn't make every PHB take notice I can't imagine what would. (Hey boss, its free too!)
"The price good men pay for indifference to public affairs is to be ruled by evil men." ~Plato (427-347 BC)
I think power requirements are probably the main problem, rather than the hardware. It must be pretty trivial to add more cores to a system that's already using tens of thousands of them, but you're going to need a lot of power.
These systems are only really getting "faster" for parallel tasks too - if you gave them a sequential workload then I assume they would fare worse than a high end gaming machine!
which is totally what she said
The view by processor is quite interesting. AMD has the top spot, but the majority of the top 500 have Intel chips. There are still two SPARC64 machines in the top 100, and a third one down at 383. All three SPARC64 machines are in Japan, which isn't entirely surprising. IBM makes a good showing, but it's interesting to see how far behind x86 they are, in a market that was traditionally owned by non-commodity hardware.
I am TheRaven on Soylent News
Interestingly, the Chinese machines don't seem to be using Chinese CPUs yet. I was hoping to see at least one Loongson in the top 500.
I am TheRaven on Soylent News
How about a direct link to the actual site - or even the actual list?
When information is power, privacy is freedom.
The list should more accurately be called, "Top 500 publicly-acknowledged supercomputers." You can go right on thinking that the US NSA, British MI6, and even some private industries (AT&T?) don't have vastly larger supers that are not publicly disclosed.
Of the UK entries in this list, the first few are Hector (the national supercomputing facility), ECMWF, Universities, financial institutions etc. But there are also some labelled "Food industry". I wonder what I am eating that requires a supercomputer?
Parallel tasks are the whole point of using a supercomputer. The gains made in speed for sequential tasks really haven't been that great; Moore's Law for sequential tasks fell apart a while back.
Being able to parallelize a task is a prerequisite for putting it on a supercomputer.
Not even remotely true. The big difference is not the bandwidth between the nodes, it's the latency. Nodes in a supercomputer can exchange data in well under a millisecond. Nodes in SETI@Home can exchange information in a few hundred milliseconds. Don't think that's important? A single 2GHz core runs 200,000,000 cycles in the time that it takes to send a message between two relatively close SETI nodes. It executes closer to 200,000 instructions in the time that it takes to exchange data between two supercomputer nodes. This means that for things that are not embarrassingly parallel problems, a pair of supercomputer nodes will be up to 100 times faster than a pair of SETI nodes with identical processors. In practice, they won't spend all of their time communicating, so they'll probably only be ten times faster. Of course, when you scale this up to more than two nodes, the delays are increased a lot on a SETI-like system, so something using a few hundred nodes can be far more than only two orders of magnitude faster on a supercomputer.
I am TheRaven on Soylent News
Parallel tasks are the whole point of using a supercomputer.
Well it is now. The original supercomputers were based around a single very fast processor, and had a number of co-processors whose sole purpose was to offload IO and memory prefetch, so the CPU could churn away without interruption. Modern out-of-order CPUs are effectively an old style supercomputer on a chip. Heavy use of parallel processing didn't really take off until the late 80s. This paradigm shift is what caused the supercomputer market crash in the 90s, as development devolved from custom CPUs, to throwing as many generic cores at the problem as you can and using custom interconnects to mitigate parallel overhead.
As I understand it most of the nuclear research simulations that it would be nice to run simply cannot be done on any modern machines. If it's only a few particles they can be simulated on a laptop but the interesting interactions need to simulate millions or billions of points with every single one of them influencing every other one in the simulation.
As a simple example, a genetic algorithm was used to program some reconfigurable FPGA chips. A layout was grown on the chip the did the job but broke just about every rule for FPGA design. There were parts of the layout on the chip that were not connected to any circuit but removing them made the device fail to work. Transferring the layout to a different chip got you a non-working circuit. It would be great to be able to simulate this ... not a chance it's too big, by so very many orders of magnitude.
http://www.netscrap.com/netscrap_detail.cfm?scrap_id=73