Purdue app slows servers when cooling fails

An administrator from Purdue University has developed software that can slow servers when the air conditioning goes out

While chip manufacturers continue to make their processors ever more powerful, at least one customer has found it useful to slow these chips down, at least long enough to keep them running when the data center air conditioning falters.

Patrick Finnegan, a systems administrator at Purdue University, has developed software that slows the clock speed of server processors, a throttling that reduces the heat they produce.

"Previously our only options were to put in a few large fans and hope that was enough, or start turning servers off," said Mike Shuey, who oversees Purdue's supercomputers. "This software gives us a middle ground that gets us by many outages."

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While chip manufacturers continue to make their processors ever more powerful, at least one customer has found it useful to slow these chips down, at least long enough to keep them running when the data center air conditioning falters.

Patrick Finnegan, a systems administrator at Purdue University, has developed software that slows the clock speed of server processors, a throttling that reduces the heat they produce.

"Previously our only options were to put in a few large fans and hope that was enough, or start turning servers off," said Mike Shuey, who oversees Purdue's supercomputers. "This software gives us a middle ground that gets us by many outages."

Purdue is now reselling the software for US$250, through FolioDirect, an online e-commerce service for educational institutions.

With most commodity servers, once their ambient temperatures reaches a certain point, usually around 32 Celsius (About 90 degrees Fahrenheit), they will automatically shut off to prevent damage from overheating. Smart administrators will turn them off ahead of that, at least to facilitate a graceful shutdown.

In the world of academic supercomputing these restarts can be deadly, though. Purdue's clusters run many serial jobs that can take days, weeks, or even months to complete. And while some programs have frequent setpoints to which they can return that are close to where they at shutdown, many do not. One Purdue researcher, for instance runs atmospheric climate models that can require four months of continuous computing time.

"If our only recourse to survive an outage is to start turning off machines, we can throw away from two to three million[m] CPU hours of work," Shuey said. "It can take weeks and weeks of run time just to get back to the state we were in the minute before we turned things off."

In contrast, by throttling back the servers, the programs are slowed, but no work is lost.

Finnegan built the software using a clock frequency scaling driver available for the Linux kernel, which can control both Intel and AMD chipsets with frequency scaling capabilities. The software also relies on Altair job scheduling software as well as a set of cluster management tools from the U.S. Department of Energy's Oak Ridge National Laboratory.

As far as Shuey knows, no other software is available to do this task, either open source or commercial, at least for large clusters of servers.

Overall, the Purdue data center runs around 15,000 processors, mostly across two supercomputer clusters. One, called Coates, supplied by Hewlett-Packard, runs just under 8,000 processors from AMD. The other, a Dell-supplied configuration nicknamed Steele, runs 5,600 Intel processors.

The Purdue team estimates that power usage by processors can be cut by as much as 10 percent on Intel processors and by as much as 30 percent on AMD processors. The amount of power a server uses usually directly correlates to the amount of cooling needed.

"They may lose 70 to 80 percent performance, but we get a 30 percent power savings," Shuey said.

The IDG News Service is a Network World affiliate.