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DTSTAMP:20181221T160909Z
LOCATION:C147/148/154
DTSTART;TZID=America/Chicago:20181115T103000
DTEND;TZID=America/Chicago:20181115T120000
UID:submissions.supercomputing.org_SC18_sess286_pan101@linklings.com
SUMMARY:“If you can’t measure it, you can’t improve it” -- Software Improv
 ements from Power/Energy Measurement Capabilities
DESCRIPTION:Panel\nTech Program Reg Pass\n\n“If you can’t measure it, you 
 can’t improve it” -- Software Improvements from Power/Energy Measurement C
 apabilities\n\nReed, Matsuoka, Alam, Deslippe, Patki\n\n"If you can't meas
 ure it, you can't improve it."  We now have some sites that are extremely 
 well instrumented for measuring power and energy.  Lawrence Berkeley Natio
 nal Laboratory’s supercomputing center is a prime example, with sensors, d
 ata collection and analysis capabilities that span the facility and comput
 ing equipment.  We have made major gains in improving the energy efficienc
 y of the facility as well as computing hardware, but there are still large
  gains to be had with software- particularly application software.  Just t
 uning code for performance isn’t enough; the same time to solution can hav
 e very different power profiles. We are at the point where measurement cap
 abilities are allowing us to see cross-cutting issues- such as the cost of
  spin waits. These new measurement capabilities should provide a wealth of
  information to see the tall poles in the tent.   This panel will explore 
 how we can identify these emerging tall poles.
URL:https://sc18.supercomputing.org/presentation/?id=pan101&sess=sess286
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