2024-03-30T08:04:02Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/1326052023-07-21T09:33:13Zcom_10234_7036com_10234_9col_10234_8620
00925njm 22002777a 4500
dc
Aliaga Estellés, José Ignacio
author
Barreda Vayá, Maria
author
Dolz, Manuel F.
author
Quintana-Orti, Enrique S.
author
2015-05
In this paper we conduct a detailed analysis of the sources of power dissipation and energy consumption during the execution of current dense linear algebra kernels on multicore processors, binding these two metrics together with performance to the arithmetic intensity of the operations. In particular, by leveraging the RAPL interface of an Intel E5 (“Sandy Bridge”) six-core CPU, we decompose the power-energy duo into its core (mainly due to floating-point units and cache), RAM (off-chip accesses), and uncore components,performing a series of illustrative experiments for a range of memory-bound to CPU-bound high performance kernels. Additionally, we investigate the energy proportionality of these three architecture components for the execution of linear algebra routines on the Intel E5.
1865-2034
1865-2042
http://hdl.handle.net/10234/132605
http://dx.doi.org/10.1007/s00450-014-0263-y
Dense linear algebra libraries
Energy efficiency
Energy proportionality
Multicore processors
Are our dense linear algebra libraries energy-friendly?. Time–power–energy trade-offs in BLAS and LAPACK