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Alessandro Morari
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2020 – today
- 2024
- [j7]Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Yunchung Chen, Jim Laredo, Alessandro Morari, Edward A. Epstein, Tsungnan Lin, Bo Yang, Zhong Su:
Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT. Empir. Softw. Eng. 29(2): 48 (2024) - 2023
- [j6]Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana:
Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. 32(6): 145:1-145:40 (2023) - [c20]Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri:
Invited: Automated Code generation for Information Technology Tasks in YAML through Large Language Models. DAC 2023: 1-4 - [c19]Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari, Udayan Khurana:
Code Vulnerability Detection via Signal-Aware Learning. EuroS&P 2023: 506-523 - [c18]Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
CONCORD: Clone-Aware Contrastive Learning for Source Code. ISSTA 2023: 26-38 - [i10]Saurabh Pujar, Luca Buratti, Xiaojie Guo, Nicolas Dupuis, Burn L. Lewis, Sahil Suneja, Atin Sood, Ganesh Nalawade, Matthew Jones, Alessandro Morari, Ruchir Puri:
Automated Code generation for Information Technology Tasks in YAML through Large Language Models. CoRR abs/2305.02783 (2023) - [i9]Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
CONCORD: Clone-aware Contrastive Learning for Source Code. CoRR abs/2306.03234 (2023) - 2022
- [c17]Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty:
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts. ACL (1) 2022: 6300-6312 - [c16]Saurabh Pujar, Yunhui Zheng, Luca Buratti, Burn L. Lewis, Alessandro Morari, Jim Laredo, Kevin Postlethwait, Christoph Görn:
Varangian: A Git Bot for Augmented Static Analysis. MSR 2022: 766-767 - [c15]Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. SANER 2022: 959-970 - 2021
- [j5]Marcelo Amaral, Jordà Polo, David Carrera, Nelson M. Gonzalez, Chih-Chieh Yang, Alessandro Morari, Bruce D'Amora, Alaa Youssef, Malgorzata Steinder:
DRMaestro: orchestrating disaggregated resources on virtualized data-centers. J. Cloud Comput. 10(1): 22 (2021) - [c14]Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari:
Towards Reliable AI for Source Code Understanding. SoCC 2021: 403-411 - [c13]Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su:
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. ICSE (SEIP) 2021: 111-120 - [c12]Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Alain Laredo, Alessandro Morari:
Probing model signal-awareness via prediction-preserving input minimization. ESEC/SIGSOFT FSE 2021: 945-955 - [i8]Yunhui Zheng, Saurabh Pujar, Burn L. Lewis, Luca Buratti, Edward A. Epstein, Bo Yang, Jim Laredo, Alessandro Morari, Zhong Su:
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis. CoRR abs/2102.07995 (2021) - [i7]Yufan Zhuang, Sahil Suneja, Veronika Thost, Giacomo Domeniconi, Alessandro Morari, Jim Laredo:
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation. CoRR abs/2109.03341 (2021) - [i6]Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty:
Contrastive Learning for Source Code with Structural and Functional Properties. CoRR abs/2110.03868 (2021) - [i5]Sahil Suneja, Yufan Zhuang, Yunhui Zheng, Jim Laredo, Alessandro Morari:
Data-Driven and SE-assisted AI Model Signal-Awareness Enhancement and Introspection. CoRR abs/2111.05827 (2021) - [i4]Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray:
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements. CoRR abs/2112.10893 (2021) - 2020
- [i3]Sahil Suneja, Yunhui Zheng, Yufan Zhuang, Jim Laredo, Alessandro Morari:
Learning to map source code to software vulnerability using code-as-a-graph. CoRR abs/2006.08614 (2020) - [i2]Luca Buratti, Saurabh Pujar, Mihaela A. Bornea, J. Scott McCarley, Yunhui Zheng, Gaetano Rossiello, Alessandro Morari, Jim Laredo, Veronika Thost, Yufan Zhuang, Giacomo Domeniconi:
Exploring Software Naturalness through Neural Language Models. CoRR abs/2006.12641 (2020) - [i1]Yunhui Zheng, Sahil Suneja, Yufan Zhuang, Alessandro Morari, Jim Laredo:
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization. CoRR abs/2011.14934 (2020)
2010 – 2019
- 2017
- [c11]Nelson Mimura Gonzalez, Alessandro Morari, Fabio Checconi:
Jitter-Trace: a low-overhead OS noise tracing tool based on Linux Perf. ROSS@HPDC 2017: 2:1-2:8 - 2016
- [c10]Daniel G. Chavarría-Miranda, Vito Giovanni Castellana, Alessandro Morari, David Haglin, John Feo:
GraQL: A Query Language for High-Performance Attributed Graph Databases. IPDPS Workshops 2016: 1453-1462 - [p2]Nitin Sukhija, Alessandro Morari, Ioana Banicescu:
Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics. Resource Management for Big Data Platforms 2016: 189-203 - 2015
- [j4]Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Tumeo, David Haglin, Oreste Villa, John Feo:
In-Memory Graph Databases for Web-Scale Data. Computer 48(3): 24-35 (2015) - [c9]Alessandro Morari, Jesse Weaver, Oreste Villa, David J. Haglin, Antonino Tumeo, Vito Giovanni Castellana, John Feo:
High-Performance, Distributed Dictionary Encoding of RDF Datasets. CLUSTER 2015: 250-253 - [c8]Vito Giovanni Castellana, Marco Minutoli, Alessandro Morari, Antonino Tumeo, Marco Lattuada, Fabrizio Ferrandi:
High Level Synthesis of RDF Queries for Graph Analytics. ICCAD 2015: 323-330 - [p1]Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Jesse Weaver, Gregory Todd Williams, David J. Haglin, Antonino Tumeo, John Feo:
GEMS: Graph Database Engine for Multithreaded Systems. Big Data - Algorithms, Analytics, and Applications 2015: 139-156 - 2014
- [j3]Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo:
Scaling Semantic Graph Databases in Size and Performance. IEEE Micro 34(4): 16-26 (2014) - [j2]Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo:
Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. 40(10): 682-696 (2014) - [c7]Alessandro Morari, Antonino Tumeo, Daniel G. Chavarría-Miranda, Oreste Villa, Mateo Valero:
Scaling Irregular Applications through Data Aggregation and Software Multithreading. IPDPS 2014: 1126-1135 - 2013
- [j1]Alessandro Morari, Carlos Boneti, Francisco J. Cazorla, Roberto Gioiosa, Chen-Yong Cher, Alper Buyuktosunoglu, Pradip Bose, Mateo Valero:
SMT Malleability in IBM POWER5 and POWER6 Processors. IEEE Trans. Computers 62(4): 813-826 (2013) - [c6]Alessandro Morari, Vito Giovanni Castellana, David Haglin, John Feo, Jesse Weaver, Antonino Tumeo, Oreste Villa:
Accelerating semantic graph databases on commodity clusters. IEEE BigData 2013: 768-772 - [c5]Alessandro Morari, Mateo Valero:
HPC System Software for Regular and Irregular Parallel Applications. IPDPS Workshops 2013: 2242-2245 - [c4]Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa:
Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC 2013: 55-60 - 2012
- [c3]Alessandro Morari, Roberto Gioiosa, Robert W. Wisniewski, Bryan S. Rosenburg, Todd Inglett, Mateo Valero:
Evaluating the Impact of TLB Misses on Future HPC Systems. IPDPS 2012: 1010-1021 - [c2]Alessandro Morari, Antonino Tumeo, Oreste Villa, Simone Secchi, Mateo Valero:
Efficient Sorting on the Tilera Manycore Architecture. SBAC-PAD 2012: 171-178 - 2011
- [c1]Alessandro Morari, Roberto Gioiosa, Robert W. Wisniewski, Francisco J. Cazorla, Mateo Valero:
A Quantitative Analysis of OS Noise. IPDPS 2011: 852-863
Coauthor Index
aka: Jim Alain Laredo
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