Alessandro Morari

39 papers A* 1A 8C 2Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empir. Softw. Eng. Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward A. Epstein, Tsungnan Lin, Bo Yang, Zhong Su
2023	J	`jnl`	Automated Code generation for Information Technology Tasks in YAML through Large Language Models. CoRR Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
2023	A	`conf`	CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023	J	`jnl`	CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2023	A	`conf`	Code Vulnerability Detection via Signal-Aware Learning. EuroS&P Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana
2023	J	`jnl`	Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana
2023	A*	`conf`	Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. DAC Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri
2022	—	`conf`	Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2022	A	`conf`	VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2022	A	`conf`	Varangian: A Git Bot for Augmented Static Analysis. MSR Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Alessandro Morari, Jim Laredo, Kevin Postlethwait, Christoph Görn
2021	J	`jnl`	Contrastive Learning for Source Code with Structural and Functional Properties. CoRR Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty
2021	—	`conf`	D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. ICSE (SEIP) Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
2021	J	`jnl`	D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. CoRR Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su
2021	J	`jnl`	DRMaestro: orchestrating disaggregated resources on virtualized data-centers. J. Cloud Comput. Marcelo Amaral, Jordà Polo, David Carrera, Nelson M. Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D'Amora, Alaa Youssef, Malgorzata Steinder
2021	J	`jnl`	Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection. CoRR Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari
2021	—	`conf`	Probing model signal-awareness via prediction-preserving input minimization. ESEC/SIGSOFT FSE Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari
2021	J	`jnl`	Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation. CoRR Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo
2021	—	`conf`	Towards Reliable AI for Source Code Understanding. SoCC Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari
2021	J	`jnl`	VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray
2020	J	`jnl`	Exploring Software Naturalness through Neural Language Models. CoRR Luca Buratti, Saurabh Pujar, Mihaela A. Bornea, J. Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi
2020	J	`jnl`	Learning to map source code to software vulnerability using code-as-a-graph. CoRR Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Laredo, Alessandro Morari
2020	J	`jnl`	Probing Model Signal-Awareness via Prediction-Preserving Input Minimization. CoRR Yunhui Zheng, Sahil Suneja, Yufan Zhuang, Alessandro Morari, Jim Laredo
2017	—	`conf`	Jitter-Trace: a low-overhead OS noise tracing tool based on Linux Perf. ROSS@HPDC Nelson Mimura Gonzalez, Alessandro Morari, Fabio Checconi
2016	—	`conf`	GraQL: A Query Language for High-Performance Attributed Graph Databases. IPDPS Workshops Daniel G. Chavarría-Miranda, Vito Giovanni Castellana, Alessandro Morari, David Haglin, John Feo
2016	—	`ch.`	Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics. Resource Management for Big Data Platforms Nitin Sukhija, Alessandro Morari, Ioana Banicescu
2015	—	`ch.`	GEMS: Graph Database Engine for Multithreaded Systems. Big Data - Algorithms, Analytics, and Applications Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Jesse Weaver, Gregory Todd Williams, David J. Haglin, Antonino Tumeo, John Feo
2015	A	`conf`	High Level Synthesis of RDF Queries for Graph Analytics. ICCAD Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi
2015	C	`conf`	High-Performance, Distributed Dictionary Encoding of RDF Datasets. CLUSTER Alessandro Morari, Jesse Weaver, Oreste Villa, David J. Haglin, Antonino Tumeo, Vito Giovanni Castellana, John Feo
2015	J	`jnl`	In-Memory Graph Databases for Web-Scale Data. Computer Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Tumeo, David Haglin, Oreste Villa, John Feo
2014	A	`conf`	Scaling Irregular Applications through Data Aggregation and Software Multithreading. IPDPS Alessandro Morari, Antonino Tumeo, Daniel G. Chavarría-Miranda, Oreste Villa, Mateo Valero
2014	J	`jnl`	Scaling Semantic Graph Databases in Size and Performance. IEEE Micro Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo
2014	J	`jnl`	Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo
2013	—	`conf`	Accelerating semantic graph databases on commodity clusters. IEEE BigData Alessandro Morari, Vito Giovanni Castellana, David Haglin, John Feo, Jesse Weaver, Antonino Tumeo, Oreste Villa
2013	—	`conf`	HPC System Software for Regular and Irregular Parallel Applications. IPDPS Workshops Alessandro Morari, Mateo Valero
2013	J	`jnl`	SMT Malleability in IBM POWER5 and POWER6 Processors. IEEE Trans. Computers Alessandro Morari, Carlos Boneti, Francisco J. Cazorla, Roberto Gioiosa, Chen-Yong Cher, Alper Buyuktosunoglu, Pradip Bose, Mateo Valero
2013	—	`conf`	Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa
2012	C	`conf`	Efficient Sorting on the Tilera Manycore Architecture. SBAC-PAD Alessandro Morari, Antonino Tumeo, Oreste Villa, Simone Secchi, Mateo Valero
2012	A	`conf`	Evaluating the Impact of TLB Misses on Future HPC Systems. IPDPS Alessandro Morari, Roberto Gioiosa, Robert W. Wisniewski, Bryan S. Rosenburg, Todd Inglett, Mateo Valero
2011	A	`conf`	A Quantitative Analysis of OS Noise. IPDPS Alessandro Morari, Roberto Gioiosa, Robert W. Wisniewski, Francisco J. Cazorla, Mateo Valero