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Tiziano De Matteis
Tiziano De Matteis
PostDoc - SPCL Group, ETH Zurich
Email verificata su inf.ethz.ch - Home page
Titolo
Citata da
Citata da
Anno
Keep calm and react with foresight: Strategies for low-latency and energy-efficient elastic data stream processing
T De Matteis, G Mencagli
ACM SIGPLAN Notices 51 (8), 1-12, 2016
1212016
Proactive elasticity and energy awareness in data stream processing
T De Matteis, G Mencagli
Journal of Systems and Software 127, 302-319, 2017
852017
D2K: scalable community detection in massive networks via small-diameter k-plexes
A Conte, T De Matteis, D De Sensi, R Grossi, A Marino, L Versari
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
512018
Parallel patterns for window-based stateful operators on data streams: an algorithmic skeleton approach
T De Matteis, G Mencagli
International Journal of Parallel Programming 45 (2), 382-401, 2017
472017
Elastic scaling for distributed latency-sensitive data stream operators
T De Matteis, G Mencagli
2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017
412017
Bringing Parallel Patterns Out of the Corner: The P3 ARSEC Benchmark Suite
D De Sensi, T De Matteis, M Torquati, G Mencagli, M Danelutto
ACM Transactions on Architecture and Code Optimization (TACO) 14 (4), 1-26, 2017
392017
Fblas: Streaming linear algebra kernels on fpga
T De Matteis, J de Fine Licht, T Hoefler
presented at the Int. Conf. HPC Netw. Stor. Anal., 17-22, 2019
30*2019
Simplifying self-adaptive and power-aware computing with Nornir
D De Sensi, T De Matteis, M Danelutto
Future Generation Computer Systems 87, 136-151, 2018
282018
Streaming message interface: High-performance distributed memory programming on reconfigurable hardware
T De Matteis, J de Fine Licht, J Beránek, T Hoefler
Proceedings of the International Conference for High Performance Computing …, 2019
252019
StencilFlow: Mapping large stencil programs to distributed spatial computing systems
JF Licht, A Kuster, T De Matteis, T Ben-Nun, D Hofer, T Hoefler
arXiv preprint arXiv:2010.15218, 2020
19*2020
P3ARSEC: towards parallel patterns benchmarking
M Danelutto, T De Matteis, D De Sensi, G Mencagli, M Torquati
Proceedings of the Symposium on Applied Computing, 1582-1589, 2017
192017
Optimizing Message-Passing on Multicore Architectures Using Hardware Multi-threading
D Buono, T De Matteis, G Mencagli, M Vanneschi
Parallel, Distributed and Network-Based Processing (PDP), 2014 22nd …, 2014
192014
A divide-and-conquer parallel pattern implementation for multicores
M Danelutto, T De Matteis, G Mencagli, M Torquati
Proceedings of the 3rd International Workshop on Software Engineering for …, 2016
182016
A lightweigth run-time support for fast dense linear algebra on Multi-Core
D Buono, M Danelutto, T De Matteis, G Mencagli, M Torquati
12th IASTED International Conference on Parallel and Distributed Computing …, 2014
162014
Continuous skyline queries on multicore architectures
T De Matteis, S Di Girolamo, G Mencagli
Concurrency and Computation: Practice and Experience 28 (12), 3503-3522, 2016
152016
Parallelizing high-frequency trading applications by using c++ 11 attributes
M Danelutto, T De Matteis, G Mencagli, M Torquati
2015 IEEE Trustcom/BigDataSE/ISPA 3, 140-147, 2015
152015
Gasser: An auto-tunable system for general sliding-window streaming operators on gpus
T De Matteis, G Mencagli, D De Sensi, M Torquati, M Danelutto
IEEE Access 7, 48753-48769, 2019
142019
Data stream processing via code annotations
M Danelutto, T De Matteis, G Mencagli, M Torquati
The Journal of Supercomputing 74 (11), 5659-5673, 2018
142018
Parallel continuous preference queries over out-of-order and bursty data streams
G Mencagli, M Torquati, M Danelutto, T De Matteis
IEEE Transactions on Parallel and Distributed Systems 28 (9), 2608-2624, 2017
132017
Evaluating concurrency throttling and thread packing on smt multicores
M Danelutto, T De Matteis, D De Sensi, M Torquati
2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017
112017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20