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2020 – today
- 2024
[e3]Demetris Zeinalipour
, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14351, Springer 2024, ISBN 978-3-031-50683-3 [contents]- [e2]Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo di Sanzo:
Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 - September 1, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14352, Springer 2024, ISBN 978-3-031-48802-3 [contents] - 2023
- [j15]Pierangelo di Sanzo, Francesco Quaglia:
On the Effects of Transaction Data Access Patterns on Performance in Lock-Based Concurrency Control. IEEE Trans. Computers 72(6): 1718-1732 (2023) - [j14]Pierangelo di Sanzo:
Replication of Computational Results Report for "Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns". ACM Trans. Model. Comput. Simul. 33(1-2): 5:1-5:3 (2023) - 2022
- [j13]Duilio Luca Bacocco, Eugenio Carrani, Bruno Ciciani, Pierangelo di Sanzo, Francesco Leotta, Marina Torre:
Design and implementation of the new Italian healthcare digital interoperable registry for implantable medical devices. Softw. Pract. Exp. 52(11): 2368-2392 (2022) - [j12]Alessandro Pellegrini, Pierangelo di Sanzo, Andrea Piccione, Francesco Quaglia:
Design and implementation of a fully transparent partial abort support for software transactional memory. Softw. Pract. Exp. 52(11): 2456-2475 (2022) - [j11]Emiliano Silvestri, Alessandro Pellegrini, Pierangelo di Sanzo, Francesco Quaglia:
Effective Runtime Management of Tasks and Priorities in GNU OpenMP Applications. IEEE Trans. Computers 71(10): 2632-2645 (2022) - 2021
- [j10]Stefano Conoci, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Francesco Quaglia:
On power capping and performance optimization of multithreaded applications. Concurr. Comput. Pract. Exp. 33(13) (2021) - [j9]Pierangelo di Sanzo, Dimiter R. Avresky, Alessandro Pellegrini:
Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies. Softw. Pract. Exp. 51(1): 46-71 (2021) - [i4]Pierangelo di Sanzo:
A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution. CoRR abs/2104.03187 (2021) - 2020
- [j8]Alessandro Pellegrini, Pierangelo di Sanzo, Beatrice Bevilacqua, Gabriella Duca, Domenico Pascarella, Roberto Palumbo, Juan José Ramos, Miquel Angel Piera, Gabriella Gigante:
Simulation-Based Evolutionary Optimization of Air Traffic Management. IEEE Access 8: 161551-161570 (2020) - [j7]Romolo Marotta, Davide Tiriticco, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Francesco Quaglia:
Mutable locks: Combining the best of spin and sleep locks. Concurr. Comput. Pract. Exp. 32(22) (2020) - [j6]Pierangelo di Sanzo, Alessandro Pellegrini, Marco Sannicandro, Bruno Ciciani, Francesco Quaglia:
Adaptive Model-Based Scheduling in Software Transactional Memory. IEEE Trans. Computers 69(5): 621-632 (2020) - [j5]Matteo Principe, Tommaso Tocci, Pierangelo di Sanzo, Francesco Quaglia, Alessandro Pellegrini:
A Distributed Shared Memory Middleware for Speculative Parallel Discrete Event Simulation. ACM Trans. Model. Comput. Simul. 30(2): 11:1-11:26 (2020)
2010 – 2019
- 2019
- [i3]Romolo Marotta, Davide Tiriticco, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Francesco Quaglia:
Mutable Locks: Combining the Best of Spin and Sleep Locks. CoRR abs/1906.00490 (2019) - 2018
- [c27]Simone Economo, Emiliano Silvestri, Pierangelo di Sanzo, Alessandro Pellegrini, Francesco Quaglia:
Model-Based Proactive Read-Validation in Transaction Processing Systems. ICPADS 2018: 481-488 - [c26]Stefano Conoci, Davide Cingolani, Pierangelo di Sanzo, Bruno Ciciani, Alessandro Pellegrini, Francesco Quaglia:
A Power Cap Oriented Time Warp Architecture. SIGSIM-PADS 2018: 97-100 - [c25]Stefano Conoci, Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia:
Adaptive Performance Optimization under Power Constraint in Multi-thread Applications with Diverse Scalability. ICPE 2018: 16-27 - 2017
- [j4]Diego Rughetti, Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia:
Machine learning-based thread-parallelism regulation in software transactional memory. J. Parallel Distributed Comput. 109: 208-229 (2017) - [j3]Pierangelo di Sanzo:
Analysis, Classification and Comparison of Scheduling Techniques for Software Transactional Memories. IEEE Trans. Parallel Distributed Syst. 28(12): 3356-3373 (2017) - [c24]Emiliano Silvestri, Simone Economo, Pierangelo di Sanzo, Alessandro Pellegrini, Francesco Quaglia:
Preemptive Software Transactional Memory. CCGrid 2017: 294-303 - [c23]Simone Economo, Emiliano Silvestri, Pierangelo di Sanzo, Alessandro Pellegrini, Francesco Quaglia:
Prompt application-transparent transaction revalidation in software transactional memory. NCA 2017: 157-162 - [c22]Dimiter R. Avresky, Alessandro Pellegrini, Pierangelo di Sanzo:
Machine learning-based management of cloud applications in hybrid clouds: A Hadoop case study. NCA 2017: 179-183 - [i2]Stefano Conoci, Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia:
Adaptive Performance Optimization under Power Constraint in Multi-thread Applications. CoRR abs/1707.09642 (2017) - 2016
- [c21]Pierangelo di Sanzo, Bruno Ciciani:
CPU-core frequency scaling for efficient thread scheduling in transactional memories. HPCS 2016: 42-47 - [c20]Pierangelo di Sanzo, Marco Sannicandro, Bruno Ciciani, Francesco Quaglia:
Markov Chain-Based Adaptive Scheduling in Software Transactional Memory. IPDPS 2016: 373-382 - [c19]Alessandro Pellegrini, Pierangelo di Sanzo, Dimiter R. Avresky:
Proactive Cloud Management for Highly Heterogeneous Multi-cloud Infrastructures. IPDPS Workshops 2016: 1311-1318 - [c18]Aris Gkoulalas-Divanis, Alessandro Pellegrini, Pierangelo di Sanzo:
Message from the program chairs. NCA 2016: xiv - [e1]Alessandro Pellegrini, Aris Gkoulalas-Divanis, Pierangelo di Sanzo, Dimiter R. Avresky:
15th IEEE International Symposium on Network Computing and Applications, NCA 2016, Cambridge, Boston, MA, USA, October 31 - November 2, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-3216-7 [contents] - 2015
- [j2]Pierangelo di Sanzo, Francesco Quaglia, Bruno Ciciani, Alessandro Pellegrini, Diego Didona, Paolo Romano, Roberto Palmieri, Sebastiano Peluso:
A flexible framework for accurate simulation of cloud in-memory data stores. Simul. Model. Pract. Theory 58: 219-238 (2015) - [c17]Alessandro Pellegrini, Pierangelo di Sanzo, Dimiter R. Avresky:
A Machine Learning-Based Framework for Building Application Failure Prediction Models. IPDPS Workshops 2015: 1072-1081 - [c16]Dimiter R. Avresky, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Luca Forte:
Proactive Scalability and Management of Resources in Hybrid Clouds via Machine Learning. NCA 2015: 114-119 - [c15]Pierangelo di Sanzo, Alessandro Pellegrini, Dimiter R. Avresky:
Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud. NCCA 2015: 51-58 - [p2]Diego Rughetti, Pierangelo di Sanzo, Alessandro Pellegrini, Bruno Ciciani, Francesco Quaglia:
Tuning the Level of Concurrency in Software Transactional Memory: An Overview of Recent Analytical, Machine Learning and Mixed Approaches. Transactional Memory 2015: 395-417 - 2014
- [c14]Diego Rughetti, Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia:
Analytical/ML Mixed Approach for Concurrency Regulation in Software Transactional Memory. CCGRID 2014: 81-91 - [c13]Pierangelo di Sanzo, Francesco Molfese, Diego Rughetti, Bruno Ciciani:
Providing Transaction Class-Based QoS in In-Memory Data Grids via Machine Learning. NCCA 2014: 46-53 - [c12]Diego Rughetti, Pierangelo di Sanzo, Alessandro Pellegrini:
Adaptive Transactional Memories: Performance and Energy Consumption Tradeoffs. NCCA 2014: 105-112 - [c11]Diego Rughetti, Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia:
Dynamic Feature Selection for Machine-Learning Based Concurrency Regulation in STM. PDP 2014: 68-75 - [i1]Pierangelo di Sanzo, Francesco Quaglia, Bruno Ciciani, Alessandro Pellegrini, Diego Didona, Paolo Romano, Roberto Palmieri, Sebastiano Peluso:
A Flexible Framework for Accurate Simulation of Cloud In-Memory Data Stores. CoRR abs/1411.7910 (2014) - 2013
- [c10]Alice Porfirio, Alessandro Pellegrini, Pierangelo di Sanzo, Francesco Quaglia:
Transparent Support for Partial Rollback in Software Transactional Memories. Euro-Par 2013: 583-594 - [c9]Pierangelo di Sanzo, Francesco Del Re, Diego Rughetti, Bruno Ciciani, Francesco Quaglia:
Regulating Concurrency in Software Transactional Memory: An Effective Model-based Approach. SASO 2013: 31-40 - [c8]Pierangelo di Sanzo, Francesco Antonacci, Bruno Ciciani, Roberto Palmieri, Alessandro Pellegrini, Sebastiano Peluso, Francesco Quaglia, Diego Rughetti, Roberto Vitali:
A framework for high performance simulation of transactional data grid platforms. SimuTools 2013: 63-72 - [p1]João Barreto, Pierangelo di Sanzo, Roberto Palmieri, Paolo Romano:
Cloud-TM. Data Intensive Storage Services for Cloud Environments 2013: 192-224 - 2012
- [j1]Pierangelo di Sanzo, Bruno Ciciani, Roberto Palmieri, Francesco Quaglia, Paolo Romano:
On the analytical modeling of concurrency control algorithms for Software Transactional Memories: The case of Commit-Time-Locking. Perform. Evaluation 69(5): 187-205 (2012) - [c7]Bruno Ciciani, Diego Didona, Pierangelo di Sanzo, Roberto Palmieri, Sebastiano Peluso, Francesco Quaglia, Paolo Romano:
Automated Workload Characterization in Cloud-based Transactional Data Grids. IPDPS Workshops 2012: 1525-1533 - [c6]Diego Rughetti, Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia:
Machine Learning-Based Self-Adjusting Concurrency in Software Transactional Memory Systems. MASCOTS 2012: 278-285 - [c5]Pierangelo di Sanzo, Diego Rughetti, Bruno Ciciani, Francesco Quaglia:
Auto-tuning of Cloud-Based In-Memory Transactional Data Grids via Machine Learning. NCCA 2012: 9-16 - 2011
- [c4]Roberto Palmieri, Pierangelo di Sanzo, Francesco Quaglia, Paolo Romano, Sebastiano Peluso, Diego Didona:
Integrated Monitoring of Infrastructures and Applications in Cloud Environments. Euro-Par Workshops (1) 2011: 45-53 - 2010
- [c3]Pierangelo di Sanzo, Francesco Quaglia, Roberto Palmieri:
Analytical Modelling of Commit-Time-Locking Algorithms for Software Transactional Memories. Int. CMG Conference 2010 - [c2]Pierangelo di Sanzo, Roberto Palmieri, Bruno Ciciani, Francesco Quaglia, Paolo Romano:
Analytical modeling of lock-based concurrency control with arbitrary transaction data access patterns. WOSP/SIPEW 2010: 69-78
2000 – 2009
- 2008
- [c1]Pierangelo di Sanzo, Bruno Ciciani, Francesco Quaglia, Paolo Romano:
A Performance Model of Multi-Version Concurrency Control. MASCOTS 2008: 41-50
Coauthor Index
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last updated on 2024-06-27 20:44 CEST by the dblp team
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