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DTSTAMP:20260522T150119Z
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:Daniel Reed (University of Iowa); Satoshi Matsuoka (Tokyo Inst
 itute of Technology, RIKEN); Sadaf Alam (Swiss National Supercomputing Cen
 tre); Jack Deslippe (Lawrence Berkeley National Laboratory); and Tapasya P
 atki (Lawrence Livermore National Laboratory)\n\n"If you can't measure it,
  you can't improve it."  We now have some sites that are extremely well in
 strumented for measuring power and energy.  Lawrence Berkeley National Lab
 oratory’s supercomputing center is a prime example, with sensors, data col
 lection and analysis capabilities that span the facility and computing equ
 ipment.  We have made major gains in improving the energy efficiency of th
 e facility as well as computing hardware, but there are still large gains 
 to be had with software- particularly application software.  Just tuning c
 ode for performance isn’t enough; the same time to solution can have very 
 different power profiles. We are at the point where measurement capabiliti
 es are allowing us to see cross-cutting issues- such as the cost of spin w
 aits. These new measurement capabilities should provide a wealth of inform
 ation to see the tall poles in the tent.   This panel will explore how we 
 can identify these emerging tall poles.\n\nRegistration Category: Tech Pro
 gram Reg Pass\n\n
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