In a previous post I wrote ARM based servers. Since then, and thanks to all the comments and responses I got, I looked more into this ARM thing and it's absolutely fascinating...
Look at this beauty (taken from the site of Calxeda, the manufacturer):
What is it? A chip? A server? No, it's a cluster of 4 servers...
And this:
is HP Redstone Server, 288 chips, 1,152 cores (Calxeda quad-core SoC) in a 4U server “Dramatically reducing the cost and complexity of cabling and switching”. Calxeda is talking about: “Cut energy and space by 90%”, and “10x the performance at the same power, the same space” and it's just the beginning...
And this is from the last couple of days... From ISC'12 (International Supercomputing Conference): "ARM in Servers – Taming Big Data with Calxeda":
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Look at this beauty (taken from the site of Calxeda, the manufacturer):
What is it? A chip? A server? No, it's a cluster of 4 servers...
And this:
is HP Redstone Server, 288 chips, 1,152 cores (Calxeda quad-core SoC) in a 4U server “Dramatically reducing the cost and complexity of cabling and switching”. Calxeda is talking about: “Cut energy and space by 90%”, and “10x the performance at the same power, the same space” and it's just the beginning...
And this is from the last couple of days... From ISC'12 (International Supercomputing Conference): "ARM in Servers – Taming Big Data with Calxeda":
- In the case of data intensive computing, re-balancing or ‘right-sizing’ the solution to eliminate bottlenecks can significantly improve overall efficiency
- By combining a quad-core ARM® Cortex™-A series processor with topology agnostic integrated fabric interconnect (providing up to 50Gbits of bandwidth at latencies less than 200ns per hop), they can eliminate network bottlenecks and increase scalability
You still can't go to the store and buy a 4U ARM-based database server that performs 10x and uses 1/10 of the power (combine them, it order of magnitude of 100x...). It's not now, maybe not tomorrow, but it's not sci-fi. And technologies will have to adapt to this world of "multiple machines, shared nothing, commodity hardware". I think databases will be the hardest tech to adapt, the only way is to distribute the data wisely and then distribute the processing, sometimes parallelize processing and access to harness those thousands of cores.
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