LEADER 05237nam 22007455 450 001 9910437565103321 005 20200701125643.0 010 $a1-283-62229-7 010 $a9786613934741 010 $a1-4471-4492-9 024 7 $a10.1007/978-1-4471-4492-2 035 $a(CKB)2670000000246071 035 $a(EBL)1030425 035 $a(OCoLC)810077656 035 $a(SSID)ssj0000737228 035 $a(PQKBManifestationID)11439992 035 $a(PQKBTitleCode)TC0000737228 035 $a(PQKBWorkID)10782579 035 $a(PQKB)11237611 035 $a(DE-He213)978-1-4471-4492-2 035 $a(MiAaPQ)EBC1030425 035 $a(PPN)168293587 035 $a(EXLCZ)992670000000246071 100 $a20120904d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEnergy-Efficient High Performance Computing$b[electronic resource] $eMeasurement and Tuning /$fby James H. Laros III, Kevin Pedretti, Suzanne M. Kelly, Wei Shu, Kurt Ferreira, John Van Dyke, Courtenay Vaughan 205 $a1st ed. 2013. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2013. 215 $a1 online resource (72 p.) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 300 $aDescription based upon print version of record. 311 $a1-4471-4491-0 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Platforms -- Measuring Power -- Applications -- Reducing Power During Idle Cycles -- Tuning CPU Power During Application Run-Time -- Network Bandwidth Tuning During Application Run-Time -- Energy Delay Product -- Conclusions. 330 $aRecognition of the importance of power and energy in the field of high performance computing (HPC) has never been greater. Research has been conducted in a number of areas related to power and energy, but little existing research has focused on large-scale HPC. Part of the reason is the lack of measurement capability currently available on small or large platforms. Typically, research is conducted using coarse methods of measurement such as inserting a power meter between the power source and the platform, or fine grained measurements using custom instrumented boards (with obvious limitations in scale). To analyze real scientific computing applications at large scale, an in situ measurement capability is necessary that scales to the size of the platform. In response to this challenge, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use and the effects of tuning both CPU and network bandwidth. Modifications were made at the operating system level to deterministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale (thousands of nodes) is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined and energy savings opportunities of up to 39% with little or no impact on run-time performance is demonstrated. Capturing scale effects was key. This research provides strong evidence that next generation large-scale platforms should not only approach CPU frequency scaling differently, as we will demonstrate, but could also benefit from the capability to tune other platform components, such as the network, to achieve more energy efficient performance. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aComputer communication systems 606 $aComputer software?Reusability 606 $aOperating systems (Computers) 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 606 $aOperating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14045 615 0$aComputer communication systems. 615 0$aComputer software?Reusability. 615 0$aOperating systems (Computers). 615 14$aComputer Communication Networks. 615 24$aPerformance and Reliability. 615 24$aOperating Systems. 676 $a004.3 676 $a004/.3 700 $aLaros III$b James H$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058498 702 $aPedretti$b Kevin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKelly$b Suzanne M$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShu$b Wei$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aFerreira$b Kurt$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aVan Dyke$b John$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aVaughan$b Courtenay$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910437565103321 996 $aEnergy-Efficient High Performance Computing$92500274 997 $aUNINA