Amdahl’s Law Extension for Parallel Program Performance Analysis on Intel Turbo-Boost Multicore Processors

2018 ◽  
pp. 87-96 ◽  
Author(s):  
Amilcar Meneses-Viveros ◽  
Mireya Paredes-López ◽  
Isidoro Gitler
Keyword(s):  
Performance Analysis ◽  
Multicore Processors ◽  
Parallel Program ◽  
Program Performance ◽  
Amdahl’S Law

RPPA: A Remote Parallel Program Performance Analysis Tool

2011 ◽  
Vol 6 (12) ◽  
Author(s):  
Yunlong Xu ◽  
Zeng Zhao ◽  
Weiguo Wu ◽  
Yixin Zhao
Keyword(s):  
Performance Analysis ◽  
Parallel Program ◽  
Analysis Tool ◽  
Program Performance

PERFORMANCE ANALYSIS OF THE SUPERCOMPUTER BASED ON RASPBERRY PI NODES

2021 ◽  
pp. 76-86
Author(s):  
Hai
Keyword(s):  
Performance Analysis ◽  
Energy Efficient ◽  
Multicore Processors ◽  
Electrical Power ◽  
Experimental Results ◽  
Raspberry Pi ◽  
Cooling Towers ◽  
Cluster Architecture ◽  
Cooling Technology ◽  
Almost All

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.

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