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The Problem With the Top500 Supercomputer List
angry tapir writes "The Top500 list of supercomputers is dutifully watched by high-performance computing participants and observers, even as they vocally doubt its fidelity to excellence. Many question the use of a single metric — Linpack — to rank the performance of something as mind-bogglingly complex as a supercomputer. During a panel at the SC2010 conference this week in New Orleans, one high-performance-computing vendor executive joked about stringing together 100,000 Android smartphones to get the largest Linpack number, thereby revealing the 'stupidity' of Linpack. While grumbling about Linpack is nothing new, the discontent was pronounced this year as more systems, such as the Tianhe-1A, used GPUs to boost Linpack ratings, in effect gaming the Top500 list."
Fortunately, Sandia National Laboratories is heading an effort to develop a new set of benchmarks. In other supercomputer news, it turns out the Windows-based cluster that lost out to Linux stumbled because of a bug in Microsoft's software package. Several readers have also pointed out that IBM's Blue Gene/Q has taken the top spot in the Green500 for energy efficient supercomputing, while a team of students built the third-place system.
The Top500 has the problem in that many of the systems on there aren't super computers, they are clusters. Now clusters are all well and good. There's lots of shit clusters do well, and if your application is one of them then by all means build and use a cluster. However they aren't supercomputers. What makes supercomputers "super" is their unified memory. A real supercomputer has high speed interconnects that allow direct memory access (non-uniform with respect to time but still) by CPUs to all the memory in the system. This is needed in situation where you have calculations that are highly interdependent, like particle physics simulations.
So while you might find a $10,000,000 cluster gives you similar performance to a $50,000,000 supercomputer on Linpack, or other benchmark that is very distributed and doesn't rely on a lot of inter-node communication, you would find it falls flat when given certain tasks.
If we want to have a cluster rating as well that's cool, but a supercomputer benchmark should be better focused on the tasks that make owning an actual supercomputer worth it. They are out there, that's why people continue to buy them.
You are allowed to use hardware-specific features and change the algorithm for this benchmark. That way, any optimization is used and innovation, as you call it, emerges. Besides, scalability *is* the most desired quality for a supercomputer that doesn't aim for space, power and cost... like the ones most likely to be in TOP500. You have Green500 for the other things you mentioned.
I rarely respond to comments. Also, don't ask for clarifications: a brain and Google are faster, believe me!
Yes, noticed that.
Here's the actual benchmark used for Top500: "HPL - A Portable Implementation of the High-Performance Linpack Benchmark for Distributed-Memory Computers". It solves linear equations spread across a cluster. The clustered machines have to communicate at a high rate, using MPI 1.1 message passing, to run this program. See this discussion of how the algorithm is parallelized. You can't run this on a set of machines that don't talk much, like "Folding@home" or like cryptanalysis problems.
Linpack is a reasonable approximation of computational fluid dynamics and structural analysis performance. Those are problems that are broken up into cells, with communication between machines about what's happening at the cell boundaries. Those are also the problems for which governments spend money on supercomputers. (The private market for supercomputers is very small.)
So, quit whining. China built the biggest one. Why not? They have more cash right now.
That makes a nice headline, but everything the article is based on has been proven to be untrue and sensationalist. My 8 year old son, when he lost, used to also accuse others of cheating as well. Usually he was wrong as well, but I didn't take his word for it and then try to pass off a news article on it.