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2020 – today
- 2025
[j11]Jan Laukemann
, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi:
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. IEEE Trans. Parallel Distributed Syst. 36(5): 1025-1041 (2025)- [i8]Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Yongseok Soh, Jesmin Jahan Tithi, Fabrizio Petrini, Jee W. Choi:
ReLATE: Learning Efficient Sparse Encoding for High-Performance Tensor Decomposition. CoRR abs/2509.00280 (2025) - 2024
- [c30]Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna:
Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. SC Workshops 2024: 667-676 - [i7]Jan Laukemann, Ahmed E. Helal, S. Isaac Geronimo Anderson, Fabio Checconi, Yongseok Soh, Jesmin Jahan Tithi, Teresa M. Ranadive, Brian J. Gravelle, Fabrizio Petrini, Jee W. Choi:
Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. CoRR abs/2403.06348 (2024) - [i6]Jesmin Jahan Tithi, Fabio Checconi, Fabrizio Petrini:
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis. CoRR abs/2406.07727 (2024) - [i5]Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna:
Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. CoRR abs/2411.09473 (2024) - 2023
- [j10]Sriram Aananthakrishnan, Shamsul Abedin, Vincent Cavé, Fabio Checconi, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Wim Heirman, Jason Howard, Ibrahim Hur, Samkit Jain, Marek M. Landowski, Kevin Ma, Jarrod A. Nelson, Robert Pawlowski, Fabrizio Petrini, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche:
The Intel Programmable and Integrated Unified Memory Architecture Graph Analytics Processor. IEEE Micro 43(5): 78-87 (2023) - [c29]Yongseok Soh, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams. IPDPS 2023: 402-412 - 2022
- [c28]Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, out-of-memory sparse MTTKRP on massively parallel architectures. ICS 2022: 26:1-26:13 - [c27]Jesmin Jahan Tithi, Fabio Checconi, Douglas Doerfler, Fabrizio Petrini:
SU3_Bench on a Programmable Integrated Unified Memory Architecture (PIUMA) and How that Differs from Standard NUMA CPUs. ISC 2022: 65-84 - [i4]Andy Nguyen, Ahmed E. Helal, Fabio Checconi, Jan Laukemann, Jesmin Jahan Tithi, Yongseok Soh, Teresa M. Ranadive, Fabrizio Petrini, Jee W. Choi:
Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures. CoRR abs/2201.12523 (2022) - [i3]Fabio Checconi, Jesmin Jahan Tithi, Fabrizio Petrini:
Ridgeline: A 2D Roofline Model for Distributed Systems. CoRR abs/2209.01368 (2022) - 2021
- [c26]Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi:
ALTO: adaptive linearized storage of sparse tensors. ICS 2021: 404-416 - [c25]Yongseok Soh, Patrick Flick, Xing Liu, Shaden Smith, Fabio Checconi, Fabrizio Petrini, Jee W. Choi:
High Performance Streaming Tensor Decomposition. IPDPS 2021: 683-692 - [i2]Ahmed E. Helal, Jan Laukemann, Fabio Checconi, Jesmin Jahan Tithi, Teresa M. Ranadive, Fabrizio Petrini, Jeewhan Choi:
ALTO: Adaptive Linearized Storage of Sparse Tensors. CoRR abs/2102.10245 (2021) - [i1]Jesmin Jahan Tithi, Fabio Checconi, Douglas Doerfler, Fabrizio Petrini:
Performance Optimization of SU3_Bench on Xeon and Programmable Integrated Unified Memory Architecture. CoRR abs/2103.00571 (2021) - 2020
- [c24]Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que, Wu-chun Feng:
Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning. CCGRID 2020: 262-271
2010 – 2019
- 2018
- [c23]Adnan Haider, Fabio Checconi, Xinyu Que, Lars Schneidenbach, Daniele Buono, Xian-He Sun:
Horizon: a multi-abstraction framework for graph analytics. CF 2018: 252-255 - [c22]Masab Ahmad, Halit Dogan, Fabio Checconi, Xinyu Que, Daniele Buono, Omer Khan:
Software-Hardware Managed Last-level Cache Allocation Scheme for Large-Scale NVRAM-Based Multicores Executing Parallel Data Analytics Applications. IPDPS 2018: 316-325 - 2017
- [j9]Venkatesan T. Chakaravarthy, Fabio Checconi, Prakash Murali, Fabrizio Petrini, Yogish Sabharwal:
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems. IEEE Trans. Parallel Distributed Syst. 28(7): 2031-2045 (2017) - [c21]Daniele Buono, Fausto Artico, Fabio Checconi, Jee W. Choi, Xinyu Que, Lars Schneidenbach:
Data Analytics with NVLink: An SpMV Case Study. Conf. Computing Frontiers 2017: 89-96 - [c20]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
- [c19]Daniele Buono, Fabrizio Petrini, Fabio Checconi, Xing Liu, Xinyu Que, Chris Long, Tai-Ching Tuan:
Optimizing Sparse Matrix-Vector Multiplication for Large-Scale Data Analytics. ICS 2016: 37:1-37:12 - [c18]Xing Liu, Daniele Buono, Fabio Checconi, Jee W. Choi, Xinyu Que, Fabrizio Petrini, John A. Gunnels, Jeff Stuecheli:
An Early Performance Study of Large-Scale POWER8 SMP Systems. IPDPS 2016: 263-272 - [c17]Xinyu Que, Lars Schneidenbach, Fabio Checconi, Carlos H. A. Costa, Daniele Buono:
Performance Analysis of Spark/GraphX on POWER8 Cluster. ISC Workshops 2016: 268-285 - 2015
- [j8]Daniele Buono, John A. Gunnels, Xinyu Que, Fabio Checconi, Fabrizio Petrini, Tai-Ching Tuan, Chris Long:
Optimizing Sparse Linear Algebra for Large-Scale Graph Analytics. Computer 48(8): 26-34 (2015) - [c16]Xinyu Que, Fabio Checconi, Fabrizio Petrini, John A. Gunnels:
Scalable Community Detection with the Louvain Algorithm. IPDPS 2015: 28-37 - [c15]Xinyu Que, Fabio Checconi, Fabrizio Petrini, Xing Liu, Daniele Buono:
Exploring network optimizations for large-scale graph analytics. SC 2015: 26:1-26:10 - 2014
- [j7]Laurent Schares, Benjamin G. Lee, Fabio Checconi, Russell A. Budd, Alexander V. Rylyakov, Nicolas Dupuis, Fabrizio Petrini, Clint Schow, Pablo Fuentes, Oliver Mattes, Cyriel Minkenberg:
A Throughput-Optimized Optical Network for Data-Intensive Computing. IEEE Micro 34(5): 52-63 (2014) - [c14]Fabio Checconi, Fabrizio Petrini:
Traversing Trillions of Edges in Real Time: Graph Exploration on Large-Scale Parallel Machines. IPDPS 2014: 425-434 - [c13]Venkatesan T. Chakaravarthy, Fabio Checconi, Fabrizio Petrini, Yogish Sabharwal:
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems. IPDPS 2014: 889-901 - [c12]Xinyu Que, Fabio Checconi, Fabrizio Petrini:
Performance Analysis of Graph Algorithms on P7IH. ISC 2014: 109-123 - 2013
- [j6]Fabio Checconi, Fabrizio Petrini:
Massive data analytics: The Graph 500 on IBM Blue Gene/Q. IBM J. Res. Dev. 57(1/2): 10 (2013) - [j5]Fabio Checconi, Luigi Rizzo, Paolo Valente:
QFQ: Efficient Packet Scheduling With Tight Guarantees. IEEE/ACM Trans. Netw. 21(3): 802-816 (2013) - 2012
- [j4]Tommaso Cucinotta, Fabio Checconi, George Kousiouris, Kleopatra Konstanteli, Spyridon V. Gogouvitis, Dimosthenis Kyriazis, Theodora A. Varvarigou, Alessandro Mazzetti, Zlatko Zlatev, Juri Papay, Michael J. Boniface, Sören Berger, Dominik Lamp, Thomas Voith, Manuel Stein:
Virtualised e-Learning on the IRMOS real-time Cloud. Serv. Oriented Comput. Appl. 6(2): 151-166 (2012) - [j3]Tommaso Cucinotta, Fabio Checconi, Luca Abeni, Luigi Palopoli:
Adaptive real-time scheduling for legacy multimedia applications. ACM Trans. Embed. Comput. Syst. 11(4): 86:1-86:23 (2012) - [c11]Fabio Checconi, Fabrizio Petrini, Jeremiah Willcock, Andrew Lumsdaine, Anamitra R. Choudhury, Yogish Sabharwal:
Breaking the speed and scalability barriers for graph exploration on distributed-memory machines. SC 2012: 13 - [p1]Sai Narasimhamurthy, Malcolm Muggeridge, Stefan Waldschmidt, Fabio Checconi, Tommaso Cucinotta:
Data Storage in Cloud Based Real-Time Environments. Achieving Real-Time in Distributed Computing 2012: 236-258 - 2011
- [j2]Michal Sojka, Pavel Písa, Dario Faggioli, Tommaso Cucinotta, Fabio Checconi, Zdenek Hanzálek, Giuseppe Lipari:
Modular software architecture for flexible reservation mechanisms on heterogeneous resources. J. Syst. Archit. 57(4): 366-382 (2011) - [c10]Pier Giorgio Raponi, Fabrizio Petrini, Robert Walkup, Fabio Checconi:
Characterization of the Communication Patterns of Scientific Applications on Blue Gene/P. IPDPS Workshops 2011: 1017-1024 - 2010
- [j1]Paolo Valente, Fabio Checconi:
High Throughput Disk Scheduling with Fair Bandwidth Distribution. IEEE Trans. Computers 59(9): 1172-1186 (2010) - [c9]Tommaso Cucinotta, Dhaval Giani, Dario Faggioli, Fabio Checconi:
Providing Performance Guarantees to Virtual Machines Using Real-Time Scheduling. Euro-Par Workshops 2010: 657-664 - [c8]Tommaso Cucinotta, Fabio Checconi, Luca Abeni, Luigi Palopoli:
Self-tuning schedulers for legacy real-time applications. EuroSys 2010: 55-68 - [c7]Dario Faggioli, Marko Bertogna, Fabio Checconi:
Sporadic Server revisited. SAC 2010: 340-345 - [c6]Luca Santinelli, Mangesh Chitnis, Christian Nastasi, Fabio Checconi, Giuseppe Lipari, Paolo Pagano:
A Component-Based Architecture for Adaptive Bandwidth Allocation in Wireless Sensor Networks. SIES 2010: 174-183 - [c5]Tommaso Cucinotta, Fabio Checconi, Zlatko Zlatev, Juri Papay, Mike J. Boniface, George Kousiouris, Dimosthenis Kyriazis, Theodora A. Varvarigou, Soeren Berger, Dominik Lamp, Alessandro Mazzetti, Thomas Voith, Manuel Stein:
Virtualised e-Learning with real-time guarantees on the IRMOS platform. SOCA 2010: 1-8
2000 – 2009
- 2009
- [c4]Tommaso Cucinotta, Luca Abeni, Luigi Palopoli, Fabio Checconi:
The wizard of OS: a heartbeat for Legacy multimedia applications. ESTIMedia 2009: 70-79 - [c3]Fabio Checconi, Tommaso Cucinotta, Manuel Stein:
Real-Time Issues in Live Migration of Virtual Machines. Euro-Par Workshops 2009: 454-466 - [c2]Dario Faggioli, Michael Trimarchi, Fabio Checconi:
An implementation of the earliest deadline first algorithm in Linux. SAC 2009: 1984-1989 - 2007
- [c1]Gabriele Cecchetti, Anna Lina Ruscelli, Fabio Checconi:
W-CBS: a scheduling algorithm for supporting QoS in IEEE 802.11e. QSHINE 2007: 48
Coauthor Index
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last updated on 2025-10-28 23:32 CET by the dblp team
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