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Analyzing the data behavior of parallel application for extracting performance knowledge
(2019)When performance tools are used to analyze an application with thousands of processes, the data generated can be bigger than the memory size of the cluster node, causing this data to be loaded in swap memory. In HPC systems, ...
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Benchmark based on application signature to analyze and predict their behavior
(2019)Currently, there are benchmark sets that measure the performance of HPC systems under specific computing and communication properties. These benchmarks represent the kernels of applications that measure specific hardware ...
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Heap-based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms
Barrientos, Ricardo
; ; ; ; (2019)
Nowadays, fingerprint is the most used biometric trait for individuals identification. In this area, the state-of-the-art algorithms are very accurate, but when the database contains millions of identities, an acceleration ...
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Improving analysis in SPMD applications for performance prediction
(2021)The analysis of parallel scientific applications allows us to know the details of their behavior. One way of obtaining information is through performance tools. One such tool is PAS2P, which is based on parallel application ...
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Performance model for irregular parallel applications.
(2023)The performance modeling of a parallel application is crucial for the better use of the HPC resources. However, certain scientific applications exhibit irregular performance characteristics, posing challenges in accurately ...