Title :
Quantifying the energy cost of data movement in scientific applications
Author :
Kestor, Gokcen ; Gioiosa, Roberto ; Kerbyson, Darren J. ; Hoisie, Adolfy
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
Abstract :
In the exascale era, the energy cost of moving data across the memory hierarchy is expected to be two orders of magnitude higher than the cost of performing a double-precision floating point operation. Despite its importance, the energy cost of data movement in scientific applications has not be quantitatively evaluated even for current systems.
Keywords :
data handling; floating point arithmetic; natural sciences computing; storage management; DoE exascale codesign centers; data movement; data prefetcher; double-precision floating point operation; energy cost quantification; exascale era; external power measurements; highly-tuned micro-benchmarks; internal power measurements; processor registers; science office; scientific applications; stalled cycles; state-of-the-art compute node systems; Benchmark testing; Energy consumption; Energy measurement; Fans; Power demand; Prefetching; Registers;
Conference_Titel :
Workload Characterization (IISWC), 2013 IEEE International Symposium on
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-0553-9
DOI :
10.1109/IISWC.2013.6704670
