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Performance is still the hottest keyword in parallel and distributed systems: performance evaluation, design for performance, performance portability and scalability are just a few of the many possible declinations that nowadays are of paramount scientific importance. To tackle these challenges, system architects, applications programmers and data center managers need methodological tools to fit at best the overall workload and the available architecture, maximizing the overall performances and minimizing overheads, energy consumption or idle timewhile application developersmainly aimat algorithmic and software oriented performances. Proper methodologies for modeling and analysis are the way to turn complexity into opportunities. This Special Issue of the International Journal of Parallel Programming welcomes papers that present practical and methodological approaches to analytical and simulative performance evaluation for architecturally complex systems and highperformance parallel and computing algorithm. Successful contributions have been done on specific technologies, applications and innovative solutions to system specifications and algorithmic schemes both.

Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems