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Daniele Cesarini

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2020 – today

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2024
[j8]
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Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini:
GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems. Future Gener. Comput. Syst. 160: 644-653 (2024)
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Filippo Barbari, Federico Ficarelli, Daniele Cesarini:
High-throughput drug discovery on the Fujitsu A64FX architecture. HPC Asia Workshops 2024: 17-23
[c19]
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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. SC 2024: 33
[c18]
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Lorenzo Pichetti, Daniele De Sensi, Karthee Sivalingam, Stepan Nassyr, Daniele Cesarini, Matteo Turisini, Dirk Pleiter, Aldo Artigiani, Flavio Vella:
Benchmarking Ethernet Interconnect for HPC/AI workloads. SC Workshops 2024: 869-875
[i6]
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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)
2023
[j7]
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Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: Unsupervised anomaly detection in HPC systems. Future Gener. Comput. Syst. 141: 542-554 (2023)
[c17]
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William Fornaciari, Federico Reghenzani, Federico Terraneo, Davide Baroffio, Cecilia Metra, Martin Omaña, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Robert Birke, Iacopo Colonnelli, Gianluca Mittone, Marco Aldinucci, Gabriele Mencagli, Francesco Iannone, Filippo Palombi, Giuseppe Zummo, Daniele Cesarini, Federico Tesser:
RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters. SAMOS 2023: 395-410
[c16]
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Kaijie Fan, Marco D'Antonio, Lorenzo Carpentieri, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini:
SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving. SC 2023: 69:1-69:13
[c15]
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Lorenzo Carpentieri, Marco D'Antonio, Kaijie Fan, Luigi Crisci, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini, Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Peter Thoman, Philip Salzmann, Philipp Gschwandtner, Markus Wippler, Filippo Marchetti, Daniele Gregori, Andrea Rosario Beccari:
Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications. SC Workshops 2023: 1789-1800
2022
[c14]
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Federico Ficarelli, Andrea Bartolini, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Meet Monte Cimone: exploring RISC-V high performance compute clusters. CF 2022: 207-208
[c13]
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Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. SOCC 2022: 1-6
[i5]
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  - journals/corr/abs-2205-03725
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Andrea Bartolini, Federico Ficarelli, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani, Marco Cicala, Cosimo Gianfreda, Daniele Cesarini, Andrea Acquaviva, Luca Benini:
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers. CoRR abs/2205.03725 (2022)
[i4]
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  - journals/corr/abs-2208-13169
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Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: unsupervised anomaly detection in HPC systems. CoRR abs/2208.13169 (2022)
2021
[j6]
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Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini:
COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications. IEEE Trans. Computers 70(5): 682-695 (2021)
2020
[j5]
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Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini:
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications. IEEE Trans. Parallel Distributed Syst. 31(11): 2696-2709 (2020)

2010 – 2019

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2019
[j4]
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Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Rosario Beccari, Luca Benini, Loïc Besnard, João Bispo, Radim Cmar, João M. P. Cardoso, Carlo Cavazzoni, Daniele Cesarini, Stefano Cherubin, Federico Ficarelli, Davide Gadioli, Martin Golasowski, Antonio Libri, Jan Martinovic, Gianluca Palermo, Emanuele Vitali:
The ANTAREX domain specific language for high performance computing. Microprocess. Microsystems 68: 58-73 (2019)
[c12]
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Andrea Bartolini, Francesco Beneventi, Andrea Borghesi, Daniele Cesarini, Antonio Libri, Luca Benini, Carlo Cavazzoni:
Paving the Way Toward Energy-Aware and Automated Datacentre. ICPP Workshops 2019: 8:1-8:8
[c11]
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Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Rosario Beccari, Luca Benini, Loïc Besnard, João Bispo, Radim Cmar, João M. P. Cardoso, Carlo Cavazzoni, Daniele Cesarini, Stefano Cherubin, Federico Ficarelli, Davide Gadioli, Martin Golasowski, Imane Lasri, Antonio Libri, Candida Manelfi, Jan Martinovic, Gianluca Palermo, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninová, Emanuele Vitali:
Supporting the Scale-Up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach. PDP 2019: 116-123
[c10]
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Daniele Cesarini, Carlo Cavazzoni, Andrea Bartolini:
Evaluating the Advantage of Reactive MPI-aware Power Control Policies. PPAM (2) 2019: 181-190
[i3]
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  - journals/corr/abs-1901-06175
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Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Rosario Beccari, Luca Benini, Loïc Besnard, João Bispo, Radim Cmar, João M. P. Cardoso, Carlo Cavazzoni, Daniele Cesarini, Stefano Cherubin, Federico Ficarelli, Davide Gadioli, Martin Golasowski, Antonio Libri, Jan Martinovic, Gianluca Palermo, Pedro Pinto, Erven Rohou, Katerina Slaninová, Emanuele Vitali:
The ANTAREX Domain Specific Language for High Performance Computing. CoRR abs/1901.06175 (2019)
[i2]
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Daniele Cesarini, Andrea Bartolini, Andrea Borghesi, Carlo Cavazzoni, Mathieu Luisier, Luca Benini:
COUNTDOWN Slack: a Run-time Library to Reduce Energy Footprint in Large-scale MPI Applications. CoRR abs/1909.12684 (2019)
2018
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Andrea Bartolini, Roberto Diversi, Daniele Cesarini, Francesco Beneventi:
Self-Aware Thermal Management for High-Performance Computing Processors. IEEE Des. Test 35(5): 28-35 (2018)
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Giuseppe Tagliavini, Daniele Cesarini, Andrea Marongiu:
Unleashing Fine-Grained Parallelism on Embedded Many-Core Accelerators with Lightweight OpenMP Tasking. IEEE Trans. Parallel Distributed Syst. 29(9): 2150-2163 (2018)
[c9]
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Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini:
COUNTDOWN: a run-time library for application-agnostic energy saving in MPI communication primitives. ANDARE@PACT 2018: 2:1-2:6
[c8]
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Antonio Libri, Andrea Bartolini, Daniele Cesarini, Luca Benini:
Evaluation of NTP/PTP fine-grain synchronization performance in HPC clusters. ANDARE@PACT 2018: 3:1-3:6
[c7]
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Cristina Silvano, Gianluca Palermo, Giovanni Agosta, Amir H. Ashouri, Davide Gadioli, Stefano Cherubin, Emanuele Vitali, Luca Benini, Andrea Bartolini, Daniele Cesarini, João M. P. Cardoso, João Bispo, Pedro Pinto, Ricardo Nobre, Erven Rohou, Loïc Besnard, Imane Lasri, Nico Sanna, Carlo Cavazzoni, Radim Cmar, Jan Martinovic, Katerina Slaninová, Martin Golasowski, Andrea Rosario Beccari, Candida Manelfi:
Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox. CF 2018: 270-275
[i1]
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  - journals/corr/abs-1806-07258
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Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini:
COUNTDOWN - three, two, one, low power! A Run-time Library for Energy Saving in MPI Communication Primitives. CoRR abs/1806.07258 (2018)
2017
[c6]
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Daniele Cesarini, Andrea Bartolini, Luca Benini:
Benefits in Relaxing the Power Capping Constraint. ANDARE@PACT 2017: 3:1-3:6
[c5]
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Daniele Cesarini, Andrea Bartolini, Luca Benini:
Energy Saving and Thermal Management Opportunities in a Workload-Aware MPI Runtime for a Scientific HPC Computing Node. PARCO 2017: 277-286
[c4]
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Daniele Cesarini, Andrea Bartolini, Luca Benini:
Prediction horizon vs. efficiency of optimal dynamic thermal control policies in HPC nodes. VLSI-SoC 2017: 1-6
[c3]
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Daniele Cesarini, Andrea Bartolini, Luca Benini:
Modeling and Evaluation of Application-Aware Dynamic Thermal Control in HPC Nodes. VLSI-SoC (Selected Papers) 2017: 198-219
2016
[c2]
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Daniele Cesarini, Andrea Marongiu, Luca Benini:
An optimized task-based runtime system for resource-constrained parallel accelerators. DATE 2016: 1261-1266
2015
[c1]
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Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini:
Task scheduling strategies to mitigate hardware variability in embedded shared memory clusters. DAC 2015: 152:1-152:6
2014
[j1]
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Abbas Rahimi, Daniele Cesarini, Andrea Marongiu, Rajesh K. Gupta, Luca Benini:
Improving Resilience to Timing Errors by Exposing Variability Effects to Software in Tightly-Coupled Processor Clusters. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(2): 216-229 (2014)

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