Roberto Stagi
Tracing methodologies and tools for Artificial Intelligence and Data Mining Java applications.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020
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Abstract
Supercomputing and Artificial Intelligence are among the most important outcomes of the last decades. Both of them have been behind the scenes of many recent discoveries, and together with most of the applications in general, have been switching from a sequential paradigm to parallel and distributed approaches, that best fit the new hardware. The High Performance Computing (HPC) discipline is at the heart of these developments. In this context, the Java programming language plays a marginal role. However, Java is still in high demand, it is employed in AI and runs effectively on supercomputers. Even if a smaller set of programmers use it for HPC applications, its influence in the AI world is not negligible and it deserves a larger attention to the tools that support its development in such environment.
Parallel program performance analysis is concerned with achieving efficient utilisation of system resources
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