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ORCIDTiziano De Matteis
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2020 – today
- 2024
[j12]Sacheendra Talluri, Nikolas Herbst, Cristina L. Abad, Tiziano De Matteis
, Alexandru Iosup:
ExDe: Design space exploration of scheduler architectures and mechanisms for serverless data-processing. Future Gener. Comput. Syst. 153: 84-96 (2024)- [c24]Shekhar Suman, Xiaoyu Chu, Dante Niewenhuis, Sacheendra Talluri, Tiziano De Matteis, Alexandru Iosup:
Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction. ICPE (Companion) 2024: 120-126 - [c23]Dragi Kimovski, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis:
The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024). ICPE (Companion) 2024: 163-164 - [c22]Aratz Manterola Lasa, Sacheendra Talluri, Tiziano De Matteis, Alexandru Iosup:
The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions. ICPE 2024: 166-177 - [c21]Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis:
FootPrinter: Quantifying Data Center Carbon Footprint. ICPE (Companion) 2024: 189-195 - [i10]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:
Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. CoRR abs/2408.14090 (2024) - [i9]Tristan Laan, Tiziano De Matteis:
Developing a BLAS library for the AMD AI Engine. CoRR abs/2410.00825 (2024) - 2023
- [c20]Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler:
Streaming Task Graph Scheduling for Dataflow Architectures. HPDC 2023: 225-237 - [c19]Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler:
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. SIGMETRICS (Abstracts) 2023: 17-18 - [i8]Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler:
Streaming Task Graph Scheduling for Dataflow Architectures. CoRR abs/2306.02730 (2023) - 2022
- [c18]Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler:
Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. ICCAD 2022: 85:1-85:9 - [i7]Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler:
Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. CoRR abs/2210.04598 (2022) - [i6]Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler:
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. CoRR abs/2210.15315 (2022) - [i5]Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun, Andreas Kuster, Oliver Rausch, Manuel Burger, Carl-Johannes Johnsen, Torsten Hoefler:
Python FPGA Programming with Data-Centric Multi-Level Design. CoRR abs/2212.13768 (2022) - 2021
- [j11]Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler:
Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 49:1-49:27 (2021) - [c17]Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler:
StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. CGO 2021: 315-326 - [c16]Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler:
Productivity, portability, performance: data-centric Python. SC 2021: 95 - [i4]Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler:
Productivity, Portability, Performance: Data-Centric Python. CoRR abs/2107.00555 (2021) - 2020
- [c15]Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler:
fBLAS: streaming linear algebra on FPGA. SC 2020: 59 - [i3]Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler:
StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. CoRR abs/2010.15218 (2020)
2010 – 2019
- 2019
- [j10]Tiziano De Matteis, Gabriele Mencagli, Daniele De Sensi, Massimo Torquati, Marco Danelutto:
GASSER: An Auto-Tunable System for General Sliding-Window Streaming Operators on GPUs. IEEE Access 7: 48753-48769 (2019) - [j9]Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati, Marco Aldinucci, Peter Kilpatrick:
The RePhrase Extended Pattern Set for Data Intensive Parallel Computing. Int. J. Parallel Program. 47(1): 74-93 (2019) - [j8]Massimo Torquati, Gabriele Mencagli, Maurizio Drocco, Marco Aldinucci, Tiziano De Matteis, Marco Danelutto:
On dynamic memory allocation in sliding-window parallel patterns for streaming analytics. J. Supercomput. 75(8): 4114-4131 (2019) - [c14]Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler:
Streaming message interface: high-performance distributed memory programming on reconfigurable hardware. SC 2019: 82:1-82:33 - [i2]Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler:
FBLAS: Streaming Linear Algebra on FPGA. CoRR abs/1907.07929 (2019) - [i1]Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler:
Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware. CoRR abs/1909.03231 (2019) - 2018
- [j7]Daniele De Sensi, Tiziano De Matteis, Marco Danelutto:
Simplifying self-adaptive and power-aware computing with Nornir. Future Gener. Comput. Syst. 87: 136-151 (2018) - [j6]Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati:
Data stream processing via code annotations. J. Supercomput. 74(11): 5659-5673 (2018) - [c13]Alessio Conte, Tiziano De Matteis, Daniele De Sensi, Roberto Grossi, Andrea Marino, Luca Versari:
D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes. KDD 2018: 1272-1281 - [c12]Massimo Torquati, Tullio Menga, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli:
Reducing Message Latency and CPU Utilization in the CAF Actor Framework. PDP 2018: 145-153 - 2017
- [j5]Tiziano De Matteis, Gabriele Mencagli:
Parallel Patterns for Window-Based Stateful Operators on Data Streams: An Algorithmic Skeleton Approach. Int. J. Parallel Program. 45(2): 382-401 (2017) - [j4]Tiziano De Matteis, Gabriele Mencagli:
Proactive elasticity and energy awareness in data stream processing. J. Syst. Softw. 127: 302-319 (2017) - [j3]Daniele De Sensi, Tiziano De Matteis, Massimo Torquati, Gabriele Mencagli, Marco Danelutto:
Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite. ACM Trans. Archit. Code Optim. 14(4): 33:1-33:26 (2017) - [j2]Gabriele Mencagli, Massimo Torquati, Marco Danelutto, Tiziano De Matteis:
Parallel Continuous Preference Queries over Out-of-Order and Bursty Data Streams. IEEE Trans. Parallel Distributed Syst. 28(9): 2608-2624 (2017) - [c11]Daniele De Sensi, Tiziano De Matteis, Marco Danelutto:
Nornir: A Customizable Framework for Autonomic and Power-Aware Applications. Euro-Par Workshops 2017: 42-54 - [c10]Tiziano De Matteis, Gabriele Mencagli:
Elastic Scaling for Distributed Latency-Sensitive Data Stream Operators. PDP 2017: 61-68 - [c9]Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Massimo Torquati:
Evaluating Concurrency Throttling and Thread Packing on SMT Multicores. PDP 2017: 219-223 - [c8]Marco Danelutto, Tiziano De Matteis, Daniele De Sensi, Gabriele Mencagli, Massimo Torquati:
P3ARSEC: towards parallel patterns benchmarking. SAC 2017: 1582-1589 - 2016
- [b1]Tiziano De Matteis:
Parallel Patterns for Adaptive Data Stream Processing. University of Pisa, Italy, 2016 - [j1]Tiziano De Matteis, Salvatore Di Girolamo, Gabriele Mencagli:
Continuous skyline queries on multicore architectures. Concurr. Comput. Pract. Exp. 28(12): 3503-3522 (2016) - [c7]Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati:
A divide-and-conquer parallel pattern implementation for multicores. SEPS@SPLASH 2016: 10-19 - [c6]Tiziano De Matteis, Gabriele Mencagli:
Keep calm and react with foresight: strategies for low-latency and energy-efficient elastic data stream processing. PPoPP 2016: 13:1-13:12 - 2015
- [c5]Tiziano De Matteis, Salvatore Di Girolamo, Gabriele Mencagli:
A Multicore Parallelization of Continuous Skyline Queries on Data Streams. Euro-Par 2015: 402-413 - [c4]Marco Danelutto, Tiziano De Matteis, Gabriele Mencagli, Massimo Torquati:
Parallelizing High-Frequency Trading Applications by Using C++11 Attributes. TrustCom/BigDataSE/ISPA (3) 2015: 140-147 - 2014
- [c3]Tiziano De Matteis:
Autonomic parallel Data Stream Processing. HPCS 2014: 995-998 - [c2]Daniele Buono, Tiziano De Matteis, Gabriele Mencagli:
A High-Throughput and Low-Latency Parallelization of Window-Based Stream Joins on Multicores. ISPA 2014: 117-126 - [c1]Daniele Buono, Tiziano De Matteis, Gabriele Mencagli, Marco Vanneschi:
Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading. PDP 2014: 262-270
Coauthor Index
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