disks of a cluster can serve as if they were RAM
because the bandwidth to 50 disks is 5G/second, same as the bandwidth to RAM.
Sapere Aude
Tag: distributed
disks of a cluster can serve as if they were RAM
because the bandwidth to 50 disks is 5G/second, same as the bandwidth to RAM.
With git, we’ve invented a new world where revision history, checksums, and branches don’t make your filesystem slower: they make it faster. They don’t make your data bigger: they make it smaller. They don’t risk your data integrity; they guarantee integrity. They don’t centralize your data in a big database; they distribute it peer to peer.
interesting. with references to the google perforce paper.
Guinness has certified the project as the world’s most powerful distributed computing system. Folding@home topped 1 petaflop last month. By comparison, the well-known SETI@home project has topped out at 265 teraflops.
Folding@Home, thanks to the playstation, is now at 1 Petaflops
Blind, accurate structure prediction for small RNAs, relying solely on the minimization of free energy, seems feasible. Once this challenge is met, modeling efforts become tantalizing possibilities for large ribozymes and protein/RNA complexes.
Cleversafe shards your data 11 ways and gives you very high reliability as a result
Sony is considering tying together gamers’ PlayStation 3 consoles into a global supercomputing grid that could be used for commercial applications
i would prefer a 100% allocation to research, but then again whatever the most efficient use is.
this looks sweet. now we need a protein visualization app for the wii. i can already picture the weird contortions people will be doing in their living rooms to navigate dna and such. 50k new folding @ home users. millions are needed, though. otoh, those 50k signed up in 2 weeks and are already providing 330 TFLOPS, compared to the 276 TFLOPS of the existing 2m desktop clients.
I know Git suffers from its association with the wild and woolly kernel developers, but they’ve pushed this tool to the limits and it continues to shine. Right now, there’s nothing even close in performance, reliability and functionality.
rosetta@home continues to impress.
it turns out many of these blind predictions have an accuracy that is unprecedented. Computational protein design methodology has never before been applied to vaccine design
rosetta@home sets a new record for structure prediction: the xray crystallography phase problem was solved by computation for the first time. things like this is why i run r@h