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3. Characterising information gains and losses when collecting multiple epidemic model outputs

4. Malleable Techniques and Resource Scheduling to Improve Energy Efficiency in Parallel Applications

6. IMSS: In-Memory Storage System for Data Intensive Applications

7. Detecting Interference Between Applications and Improving the Scheduling Using Malleable Application Proxies

8. Data Management in EpiGraph COVID-19 Epidemic Simulator

10. Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor

13. Malleability in Modern HPC Systems: Current Experiences, Challenges, and Future Opportunities

16. Detecting interference between applications and improving the scheduling using malleable application clones.

18. Characterising information gains and losses when collecting multiple epidemic model outputs

20. Estimación de la incidencia real de la COVID-19 en España Real COVID-19 incidence rate estimate in Spain.

21. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

24. Author response: Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

28. FLEX-MPI: An MPI Extension for Supporting Dynamic Load Balancing on Heterogeneous Non-dedicated Systems

30. CoMPI: Enhancing MPI Based Applications Performance and Scalability Using Run-Time Compression

31. MASIPE: A Tool Based on Mobile Agents for Monitoring Parallel Environments

32. Data Locality Aware Strategy for Two-Phase Collective I/O

33. A Quantitative Justification to Partial Replication of Web Contents

35. Automatic Generation of Optimized Parallel Codes for N-body Simulations

41. Runtime Support for Adaptive Resource Provisioning in MPI Applications

42. Assessing population-sampling strategies for reducing the COVID-19 incidence

43. Simulation of COVID-19 propagation scenarios in the Madrid metropolitan area

49. Evaluating the impact of the weather conditions on the influenza propagation

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