Summary: High Performance Computing (HPC) has emerged as a fundamental pillar for scientific advancement and global economic competitiveness, transforming research methodologies across diverse domains including academic research, aerospace industry, pharmaceuticals, and financial services. This evolution has been driven by the proliferation of multi-core processors, specialized architectures, and accelerators such as Graphics Processing Units (GPUs), which collectively enable unprecedented computational capabilities. The work described in this talk aims to evaluate and extend HPC support in Delphi-Pascal, providing a methodology that facilitate access to these techniques by developers with different levels of experience in this field.
Javier Cuenca received the Engineering and Doctoral degrees, both in Computer Science, from University of Murcia (UMU), Spain, in 1994 and 2004, respectively. Since June 2013, he has been the Principal Investigator of the Scientific Computing and Parallel Programming Research Group at UMU. In this Group, he has supervised three PhD theses and about thirty bachelor’s and master’s theses.
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