Tiziano De Matteis

According to our database, Tiziano De Matteis authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Developing a BLAS library for the AMD AI Engine.

Tristan Laan, Tiziano De Matteis

CoRR, 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

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

FootPrinter: Quantifying Data Center Carbon Footprint.

Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions.

Aratz Manterola Lasa, Sacheendra Talluri, Tiziano De Matteis, Alexandru Iosup

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024).

Dragi Kimovski, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis

Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

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, Salvatore Di Girolamo, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2024

2023

Streaming Task Graph Scheduling for Dataflow Architectures.

Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

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

Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping.

Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

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

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

Proceedings of the International Conference for High Performance Computing, 2021

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

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2021

2020

fBLAS: streaming linear algebra on FPGA.

Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2020

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

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

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

Streaming message interface: high-performance distributed memory programming on reconfigurable hardware.

Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler

Proceedings of the International Conference for High Performance Computing, 2019

2018

Data stream processing via code annotations.

Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati

J. Supercomput., 2018

Simplifying self-adaptive and power-aware computing with Nornir.

Daniele De Sensi, Tiziano De Matteis, Marco Danelutto

Future Gener. Comput. Syst., 2018

Reducing Message Latency and CPU Utilization in the CAF Actor Framework.

Massimo Torquati, Tullio Menga, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes.

Alessio Conte, Tiziano De Matteis, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

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

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

Proactive elasticity and energy awareness in data stream processing.

Tiziano De Matteis, Gabriele Mencagli

J. Syst. Softw., 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

P³ARSEC: towards parallel patterns benchmarking.

Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati

Proceedings of the Symposium on Applied Computing, 2017

Elastic Scaling for Distributed Latency-Sensitive Data Stream Operators.

Tiziano De Matteis, Gabriele Mencagli

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Evaluating Concurrency Throttling and Thread Packing on SMT Multicores.

Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Massimo Torquati

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Nornir: A Customizable Framework for Autonomic and Power-Aware Applications.

Daniele De Sensi, Tiziano De Matteis, Marco Danelutto

Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017

2016

Parallel Patterns for Adaptive Data Stream Processing.

Tiziano De Matteis

PhD thesis, 2016

Continuous skyline queries on multicore architectures.

Tiziano De Matteis, Salvatore Di Girolamo, Gabriele Mencagli

Concurr. Comput. Pract. Exp., 2016

Keep calm and react with foresight: strategies for low-latency and energy-efficient elastic data stream processing.

Tiziano De Matteis, Gabriele Mencagli

Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2016

A divide-and-conquer parallel pattern implementation for multicores.

Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati

Proceedings of the 3rd International Workshop on Software Engineering for Parallel Systems, 2016

2015

Parallelizing High-Frequency Trading Applications by Using C++11 Attributes.

Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

A Multicore Parallelization of Continuous Skyline Queries on Data Streams.

Tiziano De Matteis, Salvatore Di Girolamo, Gabriele Mencagli

Proceedings of the Euro-Par 2015: Parallel Processing, 2015

2014

Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading.

Daniele Buono, Tiziano De Matteis, Gabriele Mencagli, Marco Vanneschi

Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

A High-Throughput and Low-Latency Parallelization of Window-Based Stream Joins on Multicores.

Daniele Buono, Tiziano De Matteis, Gabriele Mencagli

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

Autonomic parallel Data Stream Processing.

Tiziano De Matteis

Proceedings of the International Conference on High Performance Computing & Simulation, 2014