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Re:Japan Captures TOP500 Crown with Arm-Powered Supercomputer by dekhn on Monday June 22, 2020 @12:44PM (#23602348)
You could use MPI and OpenMP. I got my start building an 10megabit ethernet cluster of 6 machines for $15K (this would have been back in ~2000). It only scaled about 4X using 6 machines, but that was still good enough/cheap enough to replace a bunch of more expensive SGIs, Suns, and HP machines.

Where the bottleneck is depends entirely on many details of the computations you wanted to run. IN many cases, you can get trivial embarassing parallelism if you can break your problem into N parts and there doesn't need to be any real communication between the processors running the distinct parts. In that case, memory bandwidth and clock rate are the bottleneck. but if you're running something like ML training with tight coupling, then the throughput and latency of the network can definitely be a problem.

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