Di Martino, Beniamino

Personal Information

Position: Full Professor
Research areas:
  • Uncategorized

Publications

  • Amato, F., Di Martino, B., Marulli, F. & Moscato, F. (2019). A federation of cognitive cloud services for trusting data sources. Advances in Intelligent Systems and Computing, 772, 1022-1031. [More] 
  • Redavid, D., Malerba, D., Di Martino, B., Esposito, A., Ardagna, C. A., Bellandi, V. et al. (2019). Semantic support for model based big data analytics-as-a-service (MBDAaaS). Advances in Intelligent Systems and Computing, 772, 1012-1021. [More] 
  • Ardagna, C. A., Bellandi, V., Ceravolo, P., Damiani, E., Di Martino, B., D'Angelo, S. et al (2018). A Fast and Incremental Development Life Cycle for Data Analytics as a Service. In, pages 174-181. [More] 
  • Di Martino, B., Posillipo, A., Nacchia, S. & Maisto, S (2018). A Q&A tool to produce an Ad-Hoc OpenAPI specification to identify equivalent REST Api Services. In, pages 375-380. [More] 
  • Attardi, G., Di Martino, B., Esposito, A. & Mastroianni, M (2018). Using federated cloud platform to implement academia services for research and administration. In, pages 413-418. [More] 
  • Di Martino, B., D'Angelo, S., Esposito, A., Cappuzzo, R. & Oliveira, A. S (2018). ROCK algorithm parallelization with TOREADOR primitives. In, pages 402-407. [More] 
  • Di Martino, B., Pascarella, J., Nacchia, S., Maisto, S., Iannucci, P. & Cerri, F (2018). Cloud services categories identification from requirements specifications. In, pages 436-441. [More] 
  • Di Martino, B., D'Angelo, S., Esposito, A., Martinez, I., Montero, J. & Pariente, T (2018). Parallelization and deployment of big data algorithms: The TOREADOR approach. In, pages 408-412. [More] 
  • Bandirali, C., Lodi, S., Moro, G., Pagliarani, A., Sartori, C., D'Angelo, S. et al (2018). Parallel primitives for vendor-agnostic implementation of big data mining algorithms. In, pages 396-401. [More] 
  • Wang, G., Shen, X. S., Xiao, Y. & Di Martino, B (2018). Welcome message from the IUCC 2017 general chairs. In, pages xxx. [More] 
  • Zhu, X., Yang, L. T., Jiang, H., Thulasiraman, P. & Di Martino, B. (2018). Optimization in distributed information systems. Journal of Computational Science, 26, 305-306. [More] 
  • Georgalas, N., Di Martino, B., Yang, P. & Qiu, T (2018). Message from the iThings-2017 Program Chairs. In, pages xxxv. [More] 
  • Amato, F., Di Martino, B., Marulli, F., Mazzeo, A. & Moscato, F. (2018). A target driven approach supporting data diversified generation in IoT applications. Advances in Intelligent Systems and Computing, 611, 825-833. [More] 
  • Di Martino, B., Esposito, A., Liguori, S., Ospedale, F., Maisto, S. & Nacchia, S. (2018). A fuzzy prolog and ontology driven framework for medical diagnosis using IoT devices. Advances in Intelligent Systems and Computing, 611, 875-884. [More] 
  • He, X., Mohapatra, P., Sandhu, R., Guo, S., Di Martino, B., Lu, J. et al (2017). Message from the IEEE TrustCom/BigDataSE/ICESS 2017 General Chairs. In, pages xvi. [More] 
  • Di Martino, B., Esposito, A., Maisto, S. & Nacchia, S (2017). A semantic IoT framework to support RESTful devices' API interoperability. In, pages 78-83. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2017). Cloud services composition through cloud patterns: a semantic-based approach. Soft Computing, 21(16), 4557-4570. [More] 
  • Di Martino, B., D'Angelo, S. & Esposito, A (2017). A platform for MBDAaaS based on patterns and skeletons: The python based algorithms compiler. In, pages 400-405. [More] 
  • Di Martino, B., Esposito, A., Nacchia, S. & Maisto, S. (2017). A semantic model for business process patterns to support cloud deployment. Computer Science - Research and Development, 32(3-4), 257-267. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2017). Big data, IoT and semantics. [More] 
  • Ficco, M., Di Martino, B., Pietrantuono, R. & Russo, S. (2017). Optimized task allocation on private cloud for hybrid simulation of large-scale critical systems. Future Generation Computer Systems, 74, 104-118. [More] 
  • Carretero, J., Di Martino, B., Xiang, Y. & Abdalla, H (2017). Message from the IUCC-CSS 2016 General Chairs. In, pages viii-ix. [More] 
  • Baz, D. E., Bourgeois, J. & Di Martino, B (2017). Message from the SmartWorld 2016 General Chairs. In, pages liii. [More] 
  • Di Martino, B. & Esposito, A. (2017). Patterns for High Performance Computing and Big Data: State of the Art and Semantic Approaches. Advances in Parallel Computing, 30, 121-137. [More] 
  • Yang, L. T., Di Martino, B. & Zhang, Q. (2017). Internet of Everything. Mobile Information Systems, 2017. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A (2017). Legislation-aware cloud computing: An overview. In, pages 77-87. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2017). A comparison between TOSCA and OpenStack HOT through cloud patterns composition. International Journal of Grid and Utility Computing, 8(4), 299-311. [More] 
  • Pop, F., Ganchev, I., Valderrama, C., Belov, K. & Di Martino, B. (2016). Cloud Computing for Enhanced Living Environments. IEEE Cloud Computing, 3(6), 24-27. [More] 
  • Di Martino, B. & Esposito, A. (2016). A rule-based procedure for automatic recognition of design patterns in UML diagrams. Software - Practice and Experience, 46(7), 983-1007. [More] 
  • Di Martino, B (2016). Message from the CCPI 2016 Workshop Chair. In, pages xxxi. [More] 
  • Di Martino, B., Esposito, A. & Cretella, G (2016). From business process models to cloud deployment: A semantic approach. In, pages 121-126. [More] 
  • Di Martino, B. & Esposito, A (2016). Semantic Techniques for Multi-cloud Applications Portability and Interoperability. In, pages 104-113. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2016). Cloud services composition through semantically described patterns: A case study. Communications in Computer and Information Science, 567, 404-418. [More] 
  • Di Martino, B., Esposito, A., Maisto, S. & Nacchia, S. (2016). A methodology and implementing tool for semantic business process annotation. Lecture Notes in Business Information Processing, 248, 80-94. [More] 
  • Amato, A., Di Martino, B., Scialdone, M. & Venticinque, S. (2016). Distributed architecture for agents-based energy negotiation in solar powered micro-grids. Concurrency Computation, 28(4), 1275-1290. [More] 
  • Di Martino, B. & Venticinque, S (2016). Message from SWISM 2016 Workshop Co-Chairs. In, pages xlviii. [More] 
  • Di Martino, B. & Esposito, A (2015). Recognition of dynamic data structures to support porting of applications to the cloud. In, pages 2365-2372. [More] 
  • Georgalas, N., Jin, X. & Di Martino, B (2015). Message from the IUCC 2015 program chairs. In, pages xxxix. [More] 
  • Di Martino, B., Esposito, A., Nacchia, S. & Maisto, S (2015). Semantic annotation of BPMN: Current approaches and new methodologies. In. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A (2015). Defining Cloud Services Workflow: A Comparison between TOSCA and OpenStack Hot. In, pages 541-546. [More] 
  • Xiang, Y., Di Martino, B., Wang, G. & Li, J. (2015). Cloud Computing: Security, Privacy and Practice. Future Generation Computer Systems, 52, 59-60. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2015). Advances in applications portability and services interoperability among multiple clouds. IEEE Cloud Computing, 2(2), 22-28. [More] 
  • Cretella, G. & Di Martino, B. (2015). A semantic engine for porting applications to the cloud and among clouds. Software - Practice and Experience, 45(12), 1619-1637. [More] 
  • Di Martino, B., Cretella, G., Esposito, A. & Carta, G. (2015). An OWL ontology to support cloud portability and interoperability. International Journal of Web and Grid Services, 11(3), 303-326. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2015). Research Initiatives and Emerging Standards. SpringerBriefs in Computer Science, (9783319137), 93-121. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2015). Cross-Platform Cloud APIs. SpringerBriefs in Computer Science, (9783319137), 45-57. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2015). Ready-to-Go Solutions. SpringerBriefs in Computer Science, (9783319137), 59-91. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2015). Methodologies for Cloud Portability and Interoperability. SpringerBriefs in Computer Science, (9783319137), 15-44. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2015). Cloud services composition through cloud patterns. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9438, 128-140. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A (2015). Towards a Legislation-aware Cloud Computing Framework. In, pages 127-135. [More] 
  • Fox, G., Chung, Y. -., Di Martino, B., Cérin, C., Zhang, W. & Wang, H (2015). Message from DataCom 2015 chairs. In, pages xl. [More] 
  • Di Martino, B., Cretella, G., Esposito, A., Willner, A., Alloush, A., Bernstein, D. et al (2015). Towards an ontology-based Intercloud resource catalogue: The IEEE P2302 Intercloud approach for a Semantic resource exchange. In, pages 458-464. [More] 
  • Amato, A., Di Martino, B., Scialdone, M. & Venticinque, S (2015). A Virtual Market for Energy Negotiation and Brokering. In, pages 162-168. [More] 
  • Amato, A., Di Martino, B., Scialdone, M. & Venticinque, S. (2015). Multi-agent negotiation of decentralized energy production in smart micro-grid. Studies in Computational Intelligence, 570, 155-160. [More] 
  • Di Martino, B. (2014). Applications Portability and Services Interoperability among Multiple Clouds. IEEE Cloud Computing, 1(1), 74-77. [More] 
  • Di Martino, B (2014). Cloud computing projects and initiatives - Message from CCPI-2014 workshop chair. In, pages xliii. [More] 
  • Di Martino, B., Cretella, G., Esposito, A. & Sperandeo, R. G (2014). Semantic representation of cloud services: A case study for Microsoft windows azure. In, pages 647-652. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A. (2014). An overview of cloud computing paas offers and cloud patterns!. Mondo Digitale, 13(49). [More] 
  • Cretella, G. & Di Martino, B (2014). An overview of approaches for the migration of applications to the cloud. In, pages 67-75. [More] 
  • Caporarello, L., Di Martino, B. & Martinez, M (2014). Composing and orchestrating the smart artifacts: Technological and organizational challenges. In, pages 1-8. [More] 
  • Di Martino, B., Cretella, G. & Esposito, A (2014). Towards a unified OWL ontology of cloud vendors' appliances and services at paas and saas level. In, pages 570-575. [More] 
  • Aversa, R., Di Martino, B. & Moscato, F. (2014). Critical systems verification in MetaMORP(h)OSY. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8696 LNCS, 119-129. [More] 
  • Ficco, M., Tasquier, L. & Di Martino, B. (2014). Interconnection of federated clouds. Studies in Computational Intelligence, 511, 243-248. [More] 
  • Zazzaro, G., Gigante, G., Zaccariello, E., Ficco, M. & Di Martino, B (2014). Supporting development of certified aeronautical components by applying text analysis techniques. In, pages 602-607. [More] 
  • Barberio, G., Di Martino, B., Mazzocca, N., Velardi, L., Amato, A., Guglielmo, R. D. et al. (2014). An interoperable testing environment for ERTMS/ETCS control systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8696 LNCS, 147-156. [More] 
  • Venticinque, S., Tasquier, L. & Di Martino, B. (2014). A RESTFull interface for scalable agents based cloud services. International Journal of Ad Hoc and Ubiquitous Computing, 16(4), 219-231. [More] 
  • Cretella, G. & Di Martino, B (2013). Semantic and matchmaking technologies for discovering, mapping and aligning cloud providers's services. In, pages 380-384. [More] 
  • Di Martino, B. & Esposito, A (2013). Automatic recognition of design patterns from UML-based software documentation. In, pages 280-289. [More] 
  • Di Martino, B. & Esposito, A (2013). Towards a common semantic representation of design and cloud patterns. In, pages 385-389. [More] 
  • Di Martino, B., Zomaya, A. Y. & Engelmann, C. (2013). Message from the General Chairs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8285 LNCS(PART 1), v-vi. [More] 
  • Zhou, W., Di Martino, B. & Min, G (2013). IUCC 2013: Message from the general chairs. In, pages xxxix. [More] 
  • Cantiello, P., Di Martino, B. & Piccolo, F. (2013). Unimodular loop transformations with source-to-source translation for GPUs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8285 LNCS(PART 1), 186-195. [More] 
  • Foresti, S., Muthukkumarasamy, V., Wong, D. S., Di Martino, B., Mazzeo, A. & Wang, Y (2013). Message from ATC 2013 organizing committee. In, pages xix. [More] 
  • Laure, E., Kao, O., Badia, R. M., Lefevre, L., Di Martino, B., Prodan, R. et al. (2013). Topic 6: Grid, cluster and cloud computing (Introduction). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8097 LNCS, 241. [More] 
  • Ricciardi, S., Palmieri, F., Torres-Viñals, J., Di Martino, B., Santos-Boada, G. A. & Solé-Pareta, J. (2013). Green data center infrastructures in the cloud computing era. [More] 
  • Hsu, H. -., Di Martino, B. & Wang, S (2013). Message from FINA 2013 symposium co-chairs. In, pages lxxvii. [More] 
  • Di Martino, B. & Cretella, G. (2013). Semantic technology for supporting software portability and interoperability in the cloud-contributions from the MOSAIC project. Advances in Parallel Computing, 23, 66-78. [More] 
  • Di Martino, B. & Cretella, G. (2013). Semantic and Algorithmic Recognition Support to Porting Software Applications to Cloud. Communications in Computer and Information Science, 379 CCIS, 1-15. [More] 
  • Tasquier, L., Venticinque, S., Aversa, R. & Di Martino, B. (2013). Agent based application tools for cloud provisioning and management. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 112 LNICST, 32-42. [More] 
  • Cretella, G. & Di Martino, B (2012). Semantic web annotation and representation of cloud APIs. In, pages 31-37. [More] 
  • Yang, L. T. & Di Martino, B (2012). Message from HPCC-2012 steering chairs. In, pages xxviii. [More] 
  • Di Martino, B. & Petcu, D. (2012). CCPI 2011: Workshop on cloud computing projects and initiatives. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7155 LNCS(PART 1), 1-3. [More] 
  • Cantiello, P. & Di Martino, B. (2012). Automatic source code transformation for GPUs based on program comprehension. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7156 LNCS(PART 2), 188-197. [More] 
  • Ficco, M., Rak, M. & Di Martino, B (2012). An intrusion detection framework for supporting SLA assessment in Cloud Computing. In, pages 244-249. [More] 
  • Cretella, G., Di Martino, B. & Stankovski, V (2012). Using the mOSAIC's semantic engine to design and develop civil engineering cloud applications. In, pages 378-386. [More] 
  • Cretella, G. & Di Martino, B (2012). Towards a semantic engine for cloud applications development. In, pages 198-203. [More] 
  • Cretella, G. & Di Martino, B (2012). Towards automatic analysis of cloud vendors APIs for supporting cloud application portability. In, pages 61-67. [More] 
  • Moscato, F., Di Martino, B. & Aversa, R. (2012). Enabling model driven engineering of cloud services by using mosaic ontology. Scalable Computing, 13(1), 29-44. [More] 
  • Di Martino, B., Nayak, A., Liu, X. & Abawajy, J. H (2011). AHPCN 2011 message from the symposium chairs. In, pages xxxi. [More] 
  • Di Martino, B., Petcu, D. & Puliafito, A. (2011). CCPI 2010: Workshop on cloud computing projects and initiatives. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6586 LNCS, 551-553. [More] 
  • Di Martino, B., Petcu, D., Cossu, R., Goncalves, P., Máhr, T. & Loichate, M. (2011). Building a mosaic of clouds. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6586 LNCS, 571-578. [More] 
  • Guarracino, M. R., Vivien, F., Träff, J. L., Cannataro, M., Danelutto, M., Hast, A. et al. (2011). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6586 LNCS, v-viii. [More] 
  • Moscato, F., Aversa, R., Di Martino, B., Fortiş, T. -. & Munteanu, V (2011). An analysis of mOSAIC ontology for cloud resources annotation. In, pages 973-980. [More] 
  • Yang, L. T. & Di Martino, B (2011). HPCC 2011 message from the steering chairs. In, pages xx. [More] 
  • Di Martino, B. (2010). An approach to semantic information retrieval based on natural language query understanding. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6385 LNCS, 211-222. [More] 
  • Yang, L. T. & Di Martino, B (2010). Message from the steering chairs. In, pages xvi. [More] 
  • Di Martino, B. & Moscato, F (2010). An ontology based methodology for automated algorithms recognition in source code. In, pages 1111-1116. [More] 
  • Rak, M., Aversa, R., Di Martino, B. & Sgueglia, A. (2010). Web services resilience evaluation using LDS load dependent server models. Journal of Communications, 5(1), 39-49. [More] 
  • Di Martino, B., Petrini, F., Benkner, S., Cameron, K., Kranzlmüller, D., Kurzak, J. et al. (2010). Multicore and Manycore Programming. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6272 LNCS, 137-138. [More] 
  • Di Martino, B. & Cantiello, P. (2009). Automatic ontology extraction with text clustering. Studies in Computational Intelligence, 237, 215-220. [More] 
  • Miglino, O., Ponticorvo, M., Rega, A. & Di Martino, B. (2009). Robotics exhibits for science centres. Some prototypes. Communications in Computer and Information Science, 33 CCIS, 145-155. [More] 
  • Di Martino, B., Kessler, C. W., Pan, Y., Rauber, T., Rünger, G. & Yang, L. T (2009). Message from the PDSEC-09 workshop chairs. In. [More] 
  • Di Martino, B. (2009). Semantic web services discovery based on structural ontology matching. International Journal of Web and Grid Services, 5(1), 46-65. [More] 
  • Aversa, R., Di Martino, B. & Venticinque, S (2009). Integration of mobile agents technology and globus for assisted design and automated development of grid services. In, pages 118-125. [More] 
  • Yang, L. T. & Di Martino, B (2008). Message from the steering chairs. In, pages xx. [More] 
  • Di Martino, B., Kranzlmüller, D. & Dongarra, J. (2008). Special section: Grid computing and the message passing interface. Future Generation Computer Systems, 24(2), 119-120. [More] 
  • Aversa, R., Di Martino, B., Donini, R. & Venticinque, S (2008). Load balancing of mobile agents based applications in Grid systems. In, pages 6-11. [More] 
  • Aversa, R., Di Martino, B. & Venticinque, S (2008). Services based integrated architecture for adaptive multimedia delivery. In, pages 108-114. [More] 
  • Di Martino, B., Yang, L. T., Mazzeo, A. & Venticinque, S (2008). Welcome message from the Organizers. In, pages xlviii. [More] 
  • Di Martino, B., Yang, L. T., Jiang, H., He, X. & Jeong, Y. -. (2007). International workshop on Semantic and Grid Computing (SGC 2007). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4743 LNCS, XV. [More] 
  • Yang, L. T., Taniar, D., Di Martino, B., Li, K. F., Hu, X., Liu, Z. et al (2007). Message from the DMIR 2007 symposium chairs. In, pages xx. [More] 
  • Di Martino, B., Mancini, E., Rak, M., Torella, R. & Villano, U. (2007). Cluster systems and simulation: From benchmarking to off-line performance prediction. Concurrency Computation Practice and Experience, 19(11), 1549-1562. [More] 
  • Di Martino, B., Kranzlmüller, D. & Dongarra, J. (2007). Preface. International Journal of High Performance Computing Applications, 21(2), 129-131. [More] 
  • Di Martino, B. (2006). An ontology matching approach to semantic web services discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4331 LNCS, 550-558. [More] 
  • Zhu, M., Yang, L. T., Touriño, J., Pan, L., Brent, R. P., Dongarra, J. et al (2006). Message from HPSEC workshop co-chairs. In, pages xix-xxi. [More] 
  • Di Martino, B., Aversa, R. & Yang, L. T. (2006). Distributed computing: Tools, paradigms and infrastructures. An introduction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3732 LNCS, 442-443. [More] 
  • Venticinque, S., Di Martino, B., Aversa, R., Vlad, G. & Briguglio, S. (2006). Mobile agents based collective communication: An application to a parallel plasma simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4330, 724-733. [More] 
  • Di Martino, B., Kranzlmüller, D. & Dongarra, J. (2005). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3666 LNCS, v-vi. [More] 
  • Aversa, R., Di Martino, B., Mazzocca, N. & Venticinque, S. (2005). A hierarchical distributed shared-memory parallel branch and bound application with pvm and openmp for multiprocessor clusters. [More] 
  • Di Martino, B., Venticinque, S., Briguglio, S., Fogaccia, G. & Vlad, G. (2005). A grid-based distributed simulation of plasma turbulence. [More] 
  • Di Martino, B. (2004). Algorithmic concept recognition to support high performance code reengineering. IEICE Transactions on Information and Systems, E87-D(7), 1743-1750. [More] 
  • Zima, H. P., Benkner, S., O’Boyle, M. F. & Di Martino, B. (2004). Compilers for high performance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3149, 271. [More] 
  • Di Martino, B. & Bonifacio, A. (2003). Specification and automated recognition of algorithmic concepts with ALCOR. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2658, 748-757. [More] 
  • Briguglio, S., Di Martino, B., Fogaccia, G. & Vlad, G. (2003). Hierarchical MPI+OpenMP implementation of parallel PIC applications on clusters of symmetric multiprocessors. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2840, 180-187. [More] 
  • Di Martino, B., Mazzocca, N., Squeglia, A. & Mazzeo, A (2003). An automatic classification technique and tool for information retrieval of web documents. In, pages 1043-1050. [More] 
  • Di Martino, B (2003). Architectures and compilers. In, pages 40. [More] 
  • Di Martino, B. & Bonifacio, A (2003). Algorithmic concept recognition support for skeleton based parallel programming. In. [More] 
  • Di Martino, B. & Bonifacio, A (2003). Algorithmic concept recognition support for skeleton based parallel programming. In, pages 87-96. [More] 
  • Briguglio, S., Di Martino, B. & Vlad, G. (2003). A performance-prediction model for PIC applications on clusters of Symmetric MultiProcessors: Validation with hierarchical HPF+OpenMP implementation. Scientific Programming, 11(2), 159-176. [More] 
  • Di Martino, B., Mazzocca, N., Saggese, G. P. & Strollo, A. G. (2002). A technique for FPGA synthesis driven by automatic source code analysis and transformations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2438 LNCS, 47-58. [More] 
  • Briguglio, S., Di Martino, B. & Vlad, G. (2002). Workload decomposition strategies for hierarchical distributed-shared memory parallel systems and their implementation with integration of high-level parallel languages. Concurrency Computation Practice and Experience, 14(11), 933-956. [More] 
  • Di Martino, B. (2002). ALCOR - An algorithmic concept recognition tool to support high level parallel program development. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2367, 150-159. [More] 
  • Aversa, R., Di Martino, B. & Mazzocca, N. (2001). Restructuring irregular computations for distributed systems using mobile agents. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1947, 223-232. [More] 
  • Di Martino, B., Briguglio, S., Vlad, G. & Fogaccia, G. (2001). Workload decomposition strategies for shared memory parallel systems with OpenMP. Scientific Programming, 9(2-3), 109-122. [More] 
  • Di Martino, B., Briguglio, S., Vlad, G. & Sguazzero, P. (2001). Parallel PIC plasma simulation through particle decomposition techniques. Parallel Computing, 27(3), 295-314. [More] 
  • Di Martino, B., Mazzeo, A., Mazzocca, N. & Villano, U. (2001). Parallel program analysis and restructuring by detection of point-to-point interaction patterns and their transformation into collective communication constructs. Science of Computer Programming, 40(2-3), 235-263. [More] 
  • Briguglio, S., Di Martino, B. & Vlad, G (2001). Workload decomposition for particle simulation applications on hierarchical distributed-shared memory parallel systems with integration of HPF and OpenMP. In, pages 464-472. [More] 
  • Di Martino, B. & Kessler, C. W. (2000). Two program comprehension tools for automatic parallelization. IEEE Concurrency, 8(1), 37-47. [More] 
  • Aversa, R., Di Martino, B., Mazzocca, N. & Villano, U. (2000). Reducing parallel program simulation complexity by static analysis. Journal of Supercomputing, 17(3), 299-310. [More] 
  • Briguglio, S., Vlad, G., Di Martino, B. & Fogaccia, G. (2000). Parallelization of plasma simulation codes: gridless finite size particle versus particle in cell approach. Future Generation Computer Systems, 16(5), 541-552. [More] 
  • Aversa, R., Di Martino, B., Mazzocca, N. & Villano, U (2000). A performance simulation technique for distributed programs: Application to an SOR iterative solver. In, pages 368-375. [More] 
  • Di Martino, B. & Zima, H. P. (1999). Support of automatic parallelization with concept comprehension. Journal of Systems Architecture, 45(6-7), 427-439. [More] 
  • Aversa, R. & Di Martino, B. (1999). Experiences on parallelization of divide and conquer algorithms with parallel paradigms⋆. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1662, 473-476. [More] 
  • Briguglio, S., Vlad, G., Fogaccia, G. & Di Martino, B. (1999). Parallelization of gridless finite-size-particle plasma simulation codes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1593, 241-250. [More] 
  • Di Martino, B., Mazzeo, A., Mazzocca, N. & Villano, U (1999). Restructuring parallel programs by transformation of point-to-point interactions into collective communication. In, pages 84-91. [More] 
  • Di Martino, B., Celino, M. & Rosato, V. (1999). HPF parallelization of a molecular dynamics code: Strategies and performances. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1593, 535-542. [More] 
  • Di Martino, B., Briguglio, S., Vlad, G. & Sguazzero, P. (1999). Parallel PIC plasma simulation through particle decomposition methods. Computer Physics Communications, 121, 696. [More] 
  • Di Martino, B. (1998). Algorithmic concept recognition support for automatic parallelization: A case study on loop optimization and parallelization. Journal of Information Science and Engineering, 14(1), 191-203. [More] 
  • Di Martino, B., Briguglio, S., Vlad, G. & Sguazzero, P. (1998). Parallel plasma simulation in high performance fortran. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1401, 203-212. [More] 
  • Di Martino, B., Mazzeo, A., Mazzocca, N. & Villano, U. (1998). Automatic detection of interaction patterns for parallel program analysis and development. Program Comprehension, Workshop Proceedings, , 206-213. [More] 
  • Di Martino, B., Celino, M., Briscolini, M., Colombo, L., Filippone, S. & Rosato, V. (1998). Parallel tight-binding molecular dynamics code based on integration of HPF and optimized parallel libraries. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1541, 104-111. [More] 
  • Di Martino, B., Mazzeo, A., Mazzocca, N. & Villano, U. (1997). Interaction patterns detection in PVM programs to support simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1332, 250-256. [More] 
  • Di Martino, B., Mazzeo, A., Mazzocca, N. & Russo, S. (1997). Distributed coordination in optimization algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1225, 1024-1025. [More] 
  • Di Martino, B., Iannello, G. & Zima, H. P (1997). Automated algorithmic recognition technique to support parallel software development. In, pages 120-129. [More] 
  • Di Martino, B. (1996). Parallelization of algorithms for neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1041, 134-140. [More] 
  • Di Martino, B. & Iannello, G. (1996). PAP Recognizer: A tool for automatic recognition of parallelizable patterns. Program Comprehension, Workshop Proceedings, , 164-173. [More] 
  • Di Martino, B., Mazzocca, N. & Russo, S. (1996). Paradigms for the parallelization of branch and bound algorithms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1041, 141-150. [More] 
  • Di Martino, B. & Iannello, G. (1994). Parallelization of non-simultaneous iterative methods for systems of linear equations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 854 LNCS, 253-264. [More] 
 
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