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UID:submissions.supercomputing.org_SC23_sess433_ws_ships106@linklings.com
SUMMARY:Energy Consumption Comparison of Parallel Linear Systems Solver Al
 gorithms on HPC Infrastructure
DESCRIPTION:Sofia Montebugnoli and Anna Ciampolini (University of Bologna)
 \n\nHigh-Performance Computing (HPC) systems today are gradually increasin
 g in size and complexity due to the correspondent demand for ever-increasi
 ng computing needs, requiring more complicated tasks and higher accuracy. 
 The growing energy demands of HPC systems necessitate the urgent adoption 
 of green HPC approaches to mitigate environmental impact and promote energ
 y-efficient computing.\n\nThis paper explores a monitoring solution for th
 e energy values detected during the execution of two parallel algorithms f
 or the solution of linear systems: the Inhibition Method and Gaussian Elim
 ination from ScaLAPACK library. The main goal is to profile their executio
 n from the energy consumption perspective. Moreover, it also collates the 
 energy and power values for different ranks, nodes, and sockets configurat
 ions. The monitoring tools employed to track the energy consumption of the
 se algorithms are PAPI and RAPL, which will be integrated with the paralle
 l execution of the algorithms managed with the Message Passing Interface M
 PI.\n\nTag: Artificial Intelligence/Machine Learning, Energy Efficiency, G
 reen Computing, Performance Measurement, Modeling, and Tools, Sustainabili
 ty\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Andrea B
 orghesi (University of Bologna; Department of Electrical, Electronic and I
 nformation Engineering) and Daniela Loreti (University of Bologna)\n\n
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