Autonomic parallel Data Stream Processing. - Tiziano De Matteis (HPCS, 2014)

A High-Throughput and Low-Latency Parallelization of Window-Based Stream Joins on Multicores. - Daniele Buono; Tiziano De Matteis; Gabriele Mencagli (ISPA, 2014)

Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading. - Daniele Buono; Tiziano De Matteis; Gabriele Mencagli; Marco Vanneschi (PDP, 2014)

A Multicore Parallelization of Continuous Skyline Queries on Data Streams. - Tiziano De Matteis; Salvatore Di Girolamo; Gabriele Mencagli (Euro-Par, 2015)

Parallelizing High-Frequency Trading Applications by Using C++11 Attributes. - Marco Danelutto; Tiziano De Matteis; Gabriele Mencagli; Massimo Torquati (TrustCom/BigDataSE/ISPA (3), 2015)

A divide-and-conquer parallel pattern implementation for multicores. - Marco Danelutto; Tiziano De Matteis; Gabriele Mencagli; Massimo Torquati (SEPS@SPLASH, 2016)

Keep calm and react with foresight: strategies for low-latency and energy-efficient elastic data stream processing. - Tiziano De Matteis; Gabriele Mencagli (PPoPP, 2016)

Continuous skyline queries on multicore architectures. - Tiziano De Matteis; Salvatore Di Girolamo; Gabriele Mencagli (Concurr. Comput. Pract. Exp., 2016)

Parallel Patterns for Adaptive Data Stream Processing. - Tiziano De Matteis (2016)

Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. - Daniele De Sensi; Tiziano De Matteis; Marco Danelutto (Euro-Par Workshops, 2017)

Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Massimo Torquati (PDP, 2017)

Elastic Scaling for Distributed Latency-Sensitive Data Stream Operators. - Tiziano De Matteis; Gabriele Mencagli (PDP, 2017)

P3ARSEC: towards parallel patterns benchmarking. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati (SAC, 2017)

Parallel Patterns for Window-Based Stateful Operators on Data Streams: An Algorithmic Skeleton Approach. - Tiziano De Matteis; Gabriele Mencagli (Int. J. Parallel Program., 2017)

Proactive elasticity and energy awareness in data stream processing. - Tiziano De Matteis; Gabriele Mencagli (J. Syst. Softw., 2017)

Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite. - Daniele De Sensi; Tiziano De Matteis; Massimo Torquati; Gabriele Mencagli; Marco Danelutto (ACM Trans. Archit. Code Optim., 2017)

Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. - Gabriele Mencagli; Massimo Torquati; Marco Danelutto; Tiziano De Matteis (IEEE Trans. Parallel Distributed Syst., 2017)

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. - Alessio Conte; Tiziano De Matteis; Daniele De Sensi; Roberto Grossi; Andrea Marino 001; Luca Versari (KDD, 2018)

Reducing Message Latency and CPU Utilization in the CAF Actor Framework. - Massimo Torquati; Tullio Menga; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli (PDP, 2018)

Simplifying self-adaptive and power-aware computing with Nornir. - Daniele De Sensi; Tiziano De Matteis; Marco Danelutto (Future Gener. Comput. Syst., 2018)

Data stream processing via code annotations. - Marco Danelutto; Tiziano De Matteis; Gabriele Mencagli; Massimo Torquati (J. Supercomput., 2018)

Streaming message interface: high-performance distributed memory programming on reconfigurable hardware. - Tiziano De Matteis; Johannes de Fine Licht; Jakub Beránek; Torsten Hoefler (SC, 2019)

GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. - Tiziano De Matteis; Gabriele Mencagli; Daniele De Sensi; Massimo Torquati; Marco Danelutto (IEEE Access, 2019)

The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. - Marco Danelutto; Tiziano De Matteis; Daniele De Sensi; Gabriele Mencagli; Massimo Torquati; Marco Aldinucci; Peter Kilpatrick (Int. J. Parallel Program., 2019)

On dynamic memory allocation in sliding-window parallel patterns for streaming analytics. - Massimo Torquati; Gabriele Mencagli; Maurizio Drocco; Marco Aldinucci; Tiziano De Matteis; Marco Danelutto (J. Supercomput., 2019)

fBLAS: streaming linear algebra on FPGA. - Tiziano De Matteis; Johannes de Fine Licht; Torsten Hoefler (SC, 2020)

StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. - Johannes de Fine Licht; Andreas Kuster; Tiziano De Matteis; Tal Ben-Nun; Dominic Hofer; Torsten Hoefler (CGO, 2021)

Productivity, portability, performance: data-centric Python. - Alexandros Nikolaos Ziogas; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Tiziano De Matteis; Johannes de Fine Licht; Luca Lavarini; Torsten Hoefler (SC, 2021)

Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. - Daniele De Sensi; Tiziano De Matteis; Konstantin Taranov; Salvatore Di Girolamo; Tobias Rahn; Torsten Hoefler (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. - Carl-Johannes Johnsen; Tiziano De Matteis; Tal Ben-Nun; Johannes de Fine Licht; Torsten Hoefler (ICCAD, 2022)

Python FPGA Programming with Data-Centric Multi-Level Design. - Johannes de Fine Licht; Tiziano De Matteis; Tal Ben-Nun; Andreas Kuster; Oliver Rausch; Manuel Burger; Carl-Johannes Johnsen; Torsten Hoefler (CoRR, 2022)

Streaming Task Graph Scheduling for Dataflow Architectures. - Tiziano De Matteis; Lukas Gianinazzi; Johannes de Fine Licht; Torsten Hoefler (HPDC, 2023)

Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. - Daniele De Sensi; Lorenzo Pichetti; Flavio Vella; Tiziano De Matteis; Zebin Ren; Luigi Fusco; Matteo Turisini; Daniele Cesarini; Kurt Lust; Animesh Trivedi; Duncan Roweth; Filippo Spiga; et al. (SC, 2024)

The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). - Dragi Kimovski; Klervie Toczé; Nikolas Herbst; Tiziano De Matteis (ICPE (Companion), 2024)

The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions. - Aratz Manterola Lasa; Sacheendra Talluri; Tiziano De Matteis; Alexandru Iosup (ICPE, 2024)

FootPrinter: Quantifying Data Center Carbon Footprint. - Dante Niewenhuis; Sacheendra Talluri; Alexandru Iosup; Tiziano De Matteis (ICPE (Companion), 2024)

Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction. - Shekhar Suman; Xiaoyu Chu; Dante Niewenhuis; Sacheendra Talluri; Tiziano De Matteis; Alexandru Iosup (ICPE (Companion), 2024)

Developing a BLAS library for the AMD AI Engine. - Tristan Laan; Tiziano De Matteis (CoRR, 2024)

ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing. - Sacheendra Talluri; Nikolas Herbst; Cristina L. Abad; Tiziano De Matteis; Alexandru Iosup (Future Gener. Comput. Syst., 2024)

How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment. - Yiming Zhao; Tiziano De Matteis; Justus Bogner (ICSA, 2025)

RADiCe: A Risk Analysis Framework for Data Centers. - Fabian Mastenbroek; Tiziano De Matteis; Vincent van Beek; Alexandru Iosup (Future Gener. Comput. Syst., 2025)

FPGA Innovation Research in the Netherlands: Present Landscape and Future Outlook. - Nikolaos Alachiotis 001; Sjoerd van den Belt; Steven van der Vlugt; Reinier van der Walle; Mohsen Safari; Bruno Endres Forlin; Tiziano De Matteis; Zaid Al-Ars; Roel Jordans; António J. Sousa de Almeida; Federico Corradi; Christiaan Baaij; et al. (CoRR, 2025)

Comparing Parallel Functional Array Languages: Programming and Performance. - David P. van Balen; Tiziano De Matteis; Clemens Grelck; Troels Henriksen; Aaron W. Hsu; Gabriele K. Keller; Thomas Koopman; Trevor L. McDonell; Cosmin E. Oancea; Sven-Bodo Scholz; Artjoms Sinkarovs; Tom Smeding; et al. (CoRR, 2025)

Productivity, Portability, Performance, and Reproducibility: Data-Centric Python. - Alexandros Nikolaos Ziogas; Timo Schneider; Tal Ben-Nun; Alexandru Calotoiu; Tiziano De Matteis; Johannes de Fine Licht; Luca Lavarini; Torsten Hoefler (IEEE Trans. Parallel Distributed Syst., 2025)