High Performance Computing on Cluster and Multicore Architecture
Abstract: Computing needs that
is growing rapidly and more and more the need to make extensive computing
resources commensurate. High computing needs can be met by using cluster and
high speed processor technology. This study analyzes and compares the
performance between cluster and processor technology to determine the high
performance computer architecture that can support the process of computation
data. Research using Raspberry Pi devices that run with the model cluster then
be tested to get the value of the performance, FLOPS, CPU Time and Score. FLOPS
value obtained then made equivalent to the load carried by the cluster
computing Raspberry Pi. Research is also doing the same thing on the i5 and i7
processor architecture. The research use himeno98 and himeno16Large to analysis
the processor and the memory allocation. The test is run on 1000x1000 matrix
then benchmark with OpenMP. The analysis focuses on CPU Time in FLOPS and every
architecture score. The result shows on raspberry cluster architecture have
2576.07 sec in CPU Time, 86.96 MLPOS, and 2.69 score. The result on Core i5
architecture has 55.57 sec in CPU time, 76.30 MLOPS, and 0.92 score. The result
in Core i7 architecture has 59.56 sec CPU Time, 1427.61 MLOPS, and 17.23 score.
The cluster and multicore architecture result shows that the architecture
models effect to the computing process. The comparison showed the computing
performance is strongly influenced by the architecture of the processor power source
indicated on the i5 and i7 performance is getting better. Research also shows
that both models of cluster and core i5 and i7 alike can process the data to
complete.
Author: Ahmad Ashari, Mardhani
Riasetiawan
Journal Code: jptkomputergg150170
