W-CBS: a scheduling algorithm for supporting QoS in IEEE 802.11e. - Gabriele Cecchetti; Anna Lina Ruscelli; Fabio Checconi (QSHINE, 2007)

The wizard of OS: a heartbeat for Legacy multimedia applications. - Tommaso Cucinotta; Luca Abeni; Luigi Palopoli 002; Fabio Checconi (ESTIMedia, 2009)

Real-Time Issues in Live Migration of Virtual Machines. - Fabio Checconi; Tommaso Cucinotta; Manuel Stein (Euro-Par Workshops, 2009)

An implementation of the earliest deadline first algorithm in Linux. - Dario Faggioli; Michael Trimarchi; Fabio Checconi (SAC, 2009)

Providing Performance Guarantees to Virtual Machines Using Real-Time Scheduling. - Tommaso Cucinotta; Dhaval Giani; Dario Faggioli; Fabio Checconi (Euro-Par Workshops, 2010)

Self-tuning schedulers for legacy real-time applications. - Tommaso Cucinotta; Fabio Checconi; Luca Abeni; Luigi Palopoli 002 (EuroSys, 2010)

Sporadic Server revisited. - Dario Faggioli; Marko Bertogna; Fabio Checconi (SAC, 2010)

A Component-Based Architecture for Adaptive Bandwidth Allocation in Wireless Sensor Networks. - Luca Santinelli; Mangesh Chitnis; Christian Nastasi; Fabio Checconi; Giuseppe Lipari; Paolo Pagano (SIES, 2010)

Virtualised e-Learning with real-time guarantees on the IRMOS platform. - 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; et al. (SOCA, 2010)

High Throughput Disk Scheduling with Fair Bandwidth Distribution. - Paolo Valente; Fabio Checconi (IEEE Trans. Computers, 2010)

Characterization of the Communication Patterns of Scientific Applications on Blue Gene/P. - Pier Giorgio Raponi; Fabrizio Petrini; Robert Walkup; Fabio Checconi (IPDPS Workshops, 2011)

Modular software architecture for flexible reservation mechanisms on heterogeneous resources. - Michal Sojka; Pavel Písa; Dario Faggioli; Tommaso Cucinotta; Fabio Checconi; Zdenek Hanzálek; Giuseppe Lipari (J. Syst. Archit., 2011)

Data Storage in Cloud Based Real-Time Environments. - Sai Narasimhamurthy; Malcolm Muggeridge; Stefan Waldschmidt; Fabio Checconi; Tommaso Cucinotta (Achieving Real-Time in Distributed Computing, 2012)

Breaking the speed and scalability barriers for graph exploration on distributed-memory machines. - Fabio Checconi; Fabrizio Petrini; Jeremiah Willcock; Andrew Lumsdaine; Anamitra R. Choudhury; Yogish Sabharwal (SC, 2012)

Virtualised e-Learning on the IRMOS real-time Cloud. - 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; et al. (Serv. Oriented Comput. Appl., 2012)

Adaptive real-time scheduling for legacy multimedia applications. - Tommaso Cucinotta; Fabio Checconi; Luca Abeni; Luigi Palopoli 002 (ACM Trans. Embed. Comput. Syst., 2012)

Massive data analytics: The Graph 500 on IBM Blue Gene/Q. - Fabio Checconi; Fabrizio Petrini (IBM J. Res. Dev., 2013)

QFQ: Efficient Packet Scheduling With Tight Guarantees. - Fabio Checconi; Luigi Rizzo; Paolo Valente (IEEE/ACM Trans. Netw., 2013)

Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems. - Venkatesan T. Chakaravarthy; Fabio Checconi; Fabrizio Petrini; Yogish Sabharwal (IPDPS, 2014)

Traversing Trillions of Edges in Real Time: Graph Exploration on Large-Scale Parallel Machines. - Fabio Checconi; Fabrizio Petrini (IPDPS, 2014)

Performance Analysis of Graph Algorithms on P7IH. - Xinyu Que; Fabio Checconi; Fabrizio Petrini (ISC, 2014)

A Throughput-Optimized Optical Network for Data-Intensive Computing. - Laurent Schares; Benjamin G. Lee; Fabio Checconi; Russell A. Budd; Alexander V. Rylyakov; Nicolas Dupuis; Fabrizio Petrini; Clint Schow; Pablo Fuentes 001; Oliver Mattes; Cyriel Minkenberg (IEEE Micro, 2014)

Scalable Community Detection with the Louvain Algorithm. - Xinyu Que; Fabio Checconi; Fabrizio Petrini; John A. Gunnels (IPDPS, 2015)

Exploring network optimizations for large-scale graph analytics. - Xinyu Que; Fabio Checconi; Fabrizio Petrini; Xing Liu; Daniele Buono (SC, 2015)

Optimizing Sparse Linear Algebra for Large-Scale Graph Analytics. - Daniele Buono; John A. Gunnels; Xinyu Que; Fabio Checconi; Fabrizio Petrini; Tai-Ching Tuan; Chris Long (Computer, 2015)

Optimizing Sparse Matrix-Vector Multiplication for Large-Scale Data Analytics. - Daniele Buono; Fabrizio Petrini; Fabio Checconi; Xing Liu; Xinyu Que; Chris Long; Tai-Ching Tuan (ICS, 2016)

An Early Performance Study of Large-Scale POWER8 SMP Systems. - Xing Liu; Daniele Buono; Fabio Checconi; Jee W. Choi; Xinyu Que; Fabrizio Petrini; John A. Gunnels; Jeff Stuecheli (IPDPS, 2016)

Performance Analysis of Spark/GraphX on POWER8 Cluster. - Xinyu Que; Lars Schneidenbach; Fabio Checconi; Carlos H. A. Costa; Daniele Buono (ISC Workshops, 2016)

Data Analytics with NVLink: An SpMV Case Study. - Daniele Buono; Fausto Artico; Fabio Checconi; Jee W. Choi; Xinyu Que; Lars Schneidenbach (Conf. Computing Frontiers, 2017)

Jitter-Trace: a low-overhead OS noise tracing tool based on Linux Perf. - Nelson Mimura Gonzalez; Alessandro Morari; Fabio Checconi (ROSS@HPDC, 2017)

Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems. - Venkatesan T. Chakaravarthy; Fabio Checconi; Prakash Murali; Fabrizio Petrini; Yogish Sabharwal (IEEE Trans. Parallel Distributed Syst., 2017)

Horizon: a multi-abstraction framework for graph analytics. - Adnan Haider; Fabio Checconi; Xinyu Que; Lars Schneidenbach; Daniele Buono; Xian-He Sun (CF, 2018)

Software-Hardware Managed Last-level Cache Allocation Scheme for Large-Scale NVRAM-Based Multicores Executing Parallel Data Analytics Applications. - Masab Ahmad; Halit Dogan; Fabio Checconi; Xinyu Que; Daniele Buono; Omer Khan (IPDPS, 2018)

Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning. - Sarunya Pumma; Daniele Buono; Fabio Checconi; Xinyu Que; Wu-chun Feng (CCGRID, 2020)

ALTO: adaptive linearized storage of sparse tensors. - Ahmed E. Helal; Jan Laukemann; Fabio Checconi; Jesmin Jahan Tithi; Teresa M. Ranadive; Fabrizio Petrini; Jeewhan Choi (ICS, 2021)

High Performance Streaming Tensor Decomposition. - Yongseok Soh; Patrick Flick; Xing Liu; Shaden Smith; Fabio Checconi; Fabrizio Petrini; Jee W. Choi (IPDPS, 2021)

Performance Optimization of SU3_Bench on Xeon and Programmable Integrated Unified Memory Architecture. - Jesmin Jahan Tithi; Fabio Checconi; Douglas Doerfler; Fabrizio Petrini (CoRR, 2021)

Efficient, out-of-memory sparse MTTKRP on massively parallel architectures. - Andy Nguyen; Ahmed E. Helal; Fabio Checconi; Jan Laukemann; Jesmin Jahan Tithi; Yongseok Soh; Teresa M. Ranadive; Fabrizio Petrini; Jee W. Choi (ICS, 2022)

SU3_Bench on a Programmable Integrated Unified Memory Architecture (PIUMA) and How that Differs from Standard NUMA CPUs. - Jesmin Jahan Tithi; Fabio Checconi; Douglas Doerfler; Fabrizio Petrini (ISC, 2022)

Ridgeline: A 2D Roofline Model for Distributed Systems. - Fabio Checconi; Jesmin Jahan Tithi; Fabrizio Petrini (CoRR, 2022)

Dynamic Tensor Linearization and Time Slicing for Efficient Factorization of Infinite Data Streams. - Yongseok Soh; Ahmed E. Helal; Fabio Checconi; Jan Laukemann; Jesmin Jahan Tithi; Teresa M. Ranadive; Fabrizio Petrini; Jee W. Choi (IPDPS, 2023)

The Intel Programmable and Integrated Unified Memory Architecture Graph Analytics Processor. - 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; et al. (IEEE Micro, 2023)

Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. - Hanjiang Wu; Huan Xu; Joongun Park; Jesmin Jahan Tithi; Fabio Checconi; Jordi Wolfson-Pou; Fabrizio Petrini; Tushar Krishna (SC Workshops, 2024)

Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysis. - Jesmin Jahan Tithi; Fabio Checconi; Fabrizio Petrini (CoRR, 2024)

Accelerating Sparse Tensor Decomposition Using Adaptive Linearized Representation. - 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 (IEEE Trans. Parallel Distributed Syst., 2025)