Pierangelo di Sanzo

Orcid: 0000-0001-6136-6303

According to our database1, Pierangelo di Sanzo authored at least 46 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
On the Effects of Transaction Data Access Patterns on Performance in Lock-Based Concurrency Control.
IEEE Trans. Computers, June, 2023

Replication of Computational Results Report for "Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns".
ACM Trans. Model. Comput. Simul., 2023

2022
Effective Runtime Management of Tasks and Priorities in GNU OpenMP Applications.
IEEE Trans. Computers, 2022

Design and implementation of a fully transparent partial abort support for software transactional memory.
Softw. Pract. Exp., 2022

Design and implementation of the new Italian healthcare digital interoperable registry for implantable medical devices.
Softw. Pract. Exp., 2022

2021
Autonomic rejuvenation of cloud applications as a countermeasure to software anomalies.
Softw. Pract. Exp., 2021

A Preliminary Proposal for an Analytical Model for Evaluating the Impact on Performance of Data Access Patterns in Transaction Execution.
CoRR, 2021

On power capping and performance optimization of multithreaded applications.
Concurr. Comput. Pract. Exp., 2021

2020
A Distributed Shared Memory Middleware for Speculative Parallel Discrete Event Simulation.
ACM Trans. Model. Comput. Simul., 2020

Adaptive Model-Based Scheduling in Software Transactional Memory.
IEEE Trans. Computers, 2020

Mutable locks: Combining the best of spin and sleep locks.
Concurr. Comput. Pract. Exp., 2020

Simulation-Based Evolutionary Optimization of Air Traffic Management.
IEEE Access, 2020

2018
Adaptive Performance Optimization under Power Constraint in Multi-thread Applications with Diverse Scalability.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

A Power Cap Oriented Time Warp Architecture.
Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2018

Model-Based Proactive Read-Validation in Transaction Processing Systems.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2017
Analysis, Classification and Comparison of Scheduling Techniques for Software Transactional Memories.
IEEE Trans. Parallel Distributed Syst., 2017

Machine learning-based thread-parallelism regulation in software transactional memory.
J. Parallel Distributed Comput., 2017

Adaptive Performance Optimization under Power Constraint in Multi-thread Applications.
CoRR, 2017

Prompt application-transparent transaction revalidation in software transactional memory.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

Machine learning-based management of cloud applications in hybrid clouds: A Hadoop case study.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

Preemptive Software Transactional Memory.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Message from the program chairs.
Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016

Markov Chain-Based Adaptive Scheduling in Software Transactional Memory.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Proactive Cloud Management for Highly Heterogeneous Multi-cloud Infrastructures.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

CPU-core frequency scaling for efficient thread scheduling in transactional memories.
Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015
A flexible framework for accurate simulation of cloud in-memory data stores.
Simul. Model. Pract. Theory, 2015

Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud.
Proceedings of the Fourth IEEE Symposium on Network Cloud Computing and Applications, 2015

Proactive Scalability and Management of Resources in Hybrid Clouds via Machine Learning.
Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, 2015

A Machine Learning-Based Framework for Building Application Failure Prediction Models.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Tuning the Level of Concurrency in Software Transactional Memory: An Overview of Recent Analytical, Machine Learning and Mixed Approaches.
Proceedings of the Transactional Memory. Foundations, Algorithms, Tools, and Applications, 2015

2014
Dynamic Feature Selection for Machine-Learning Based Concurrency Regulation in STM.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

Providing Transaction Class-Based QoS in In-Memory Data Grids via Machine Learning.
Proceedings of the IEEE 3rd Symposium on Network Cloud Computing and Applications, 2014

Adaptive Transactional Memories: Performance and Energy Consumption Tradeoffs.
Proceedings of the IEEE 3rd Symposium on Network Cloud Computing and Applications, 2014

Analytical/ML Mixed Approach for Concurrency Regulation in Software Transactional Memory.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

2013
A framework for high performance simulation of transactional data grid platforms.
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques, 2013

Regulating Concurrency in Software Transactional Memory: An Effective Model-based Approach.
Proceedings of the 7th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2013

Transparent Support for Partial Rollback in Software Transactional Memories.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013

Cloud-TM.
Proceedings of the Data Intensive Storage Services for Cloud Environments., 2013

2012
On the analytical modeling of concurrency control algorithms for Software Transactional Memories: The case of Commit-Time-Locking.
Perform. Evaluation, 2012

Auto-tuning of Cloud-Based In-Memory Transactional Data Grids via Machine Learning.
Proceedings of the Second Symposium on Network Cloud Computing and Applications, 2012

Machine Learning-Based Self-Adjusting Concurrency in Software Transactional Memory Systems.
Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Automated Workload Characterization in Cloud-based Transactional Data Grids.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011
Integrated Monitoring of Infrastructures and Applications in Cloud Environments.
Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011

2010
Analytical modeling of lock-based concurrency control with arbitrary transaction data access patterns.
Proceedings of the first joint WOSP/SIPEW International Conference on Performance Engineering, 2010

Analytical Modelling of Commit-Time-Locking Algorithms for Software Transactional Memories.
Proceedings of the 36. International Computer Measurement Group Conference, 2010

2008
A Performance Model of Multi-Version Concurrency Control.
Proceedings of the 16th International Symposium on Modeling, 2008


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