AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Setup and Maintenance of ANTAREX Website

This deliverables consists of the first release of the project website at Month 3 to be updated periodically (ongoing deliverable).

Workshops/Tutorials/Schools on Project Achievements

Workshops/Tutorials/Schools on the main project achievements will be organised by M39 as outcome of Task 6.1.

DSL Language Runtime and API Support

Task 2.4 is responsible to deliver an execution engine for the DSL runtime and interface to parallel programming models.

DSL Support for Extra-Functional Characteristics

This is the outcome of Task 2.5 to deliver the DSL support for expressing the extra-functional characteristics.

Final Runtime Resource and Power Manager

As final outcome of Task 3.3, this deliverable releases the final version of the runtime resource and power manager.

Monitoring and Profiling Framework to Support Adaptivity

This deliverable represents the outcome of Task 3.1 to release a monitoring and profiling framework for autotuning

Final Application Level Self-tuning Framework and APIs

As final outcome of Task 3.2, this deliverable releases the final framework for application-level self-tuning and related APIs.

Initial Application-Level Self-tuning Framework and APIs

As intermediate outcome of Task 3.2, this deliverable releases the initial framework for application-level self-tuning and related APIs.

Code Refactoring Tool Guided by DSL

This deliverable consists of the code refactoring tool guided by DSL and represents the main outcome of Task 2.2.

Compiler and Code Generation Support

This is the outcome of Task 2.3 to deliver the compiler technology and code generation support.

Initial Runtime Resource and Power Manager

As intermediate outcome of Task 3.3, this deliverable releases the initial version of the runtime resource and power manager.

UC2 Validation and Assessment Report

This report collects the results of the validation and assessment activities carried out in Task 5.4 on the Use Case 2.

Lessons Learnt from ANTAREX Project (Journal Submission)

This is the final public report (in the form of a journal submission) collecting the main lessons learnt from ANTAREX project.

Dissemination of the Foreground Knowledge: Activities and Plans (Dissemination Plan 2)

This is the second dissemination plan to be released as outcome of Task 6.1.

Data Management Plan

The Data Management Plan - DMP (D1.2) is the outcome of Task 1.2 defined according to the Guidelines on Data Management in H2020 (Version 1.0 dated 11/12/2013) and Guidelines on Open Access to Scientific Publications and Research Data in H2020 (Version 1.0 dated 11/12/2013). The DMP will specify what data will be generated in the project and what data will be open for verification and reuse and how this data will be maintained. The DMP will evolve during the project lifetime to present the project’s progresses in terms of data management. In this way, ANTAREX project will become eligible for the Pilot Action on Open Access to Research Data as stated in H2020.

Dissemination of the Foreground Knowledge: Activities and Plans (Dissemination Plan 1)

This is the first dissemination plan to be released as outcome of Task 6.1.

Programming Model and DSL for Adaptivity

This deliverable, as main outcome of Task 2.1, describes the programming model and DSL to support adaptivity. The main goal is to describe the programming model that will be used by the DSL to specify strategies for runtime (self-)adaptivity and mapping (including parallelisation and distribution).

ANTAREX Online Project Book (Draft)

This is a draft of the online project book written to describe the ANTAREX methodology, open source tools and DSL language.

Specification of Holistic Approach, Tools and APIs

Based on the activities done in Task 1.2, this report collects the specification of the ANTAREX holistic approach and related tools and APIs. This report is needed to start the activities to be done in WP2 and WP3.

Results on Data Collection, Analysis and Control

As outcome of Task 4.3, this report describes the results on data collection, analysis and control related to the Use Case 1.

Requirements

Based on the requirement analysis carried out in Task 1.1, this report collects the project requirements.

Dissemination of the Foreground Knowledge: Activities and Plans (Dissemination Plan 3)

This is the third (and final) dissemination plan to be released as final outcome of Task 6.1.

UC1 Validation and Assessment Report

As outcome of Task 4.3, this report describes the validation and assessment activities carried out on the Use Case 1.

Open Research Data Pilot Report (ORDP)

This deliverable collects the open data generated in the ANTAREX project.

Pubblicazioni

The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems

Autori: Cristina Silvano, Giovanni Agosta, Jorge Barbosa, Andrea Bartolini, Andrea R. Beccari, Luca Benini, Joao Bispo, Joao M.P. Cardoso, Carlo Cavazzoni, Stefano Cherubin, Radim Cmar, Davide Gadioli, Candida Manelfi, Jan Martinovic, Ricardo Nobre, Gianluca Palermo, Martin Palkovic, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninova
Pubblicato in: 2017 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2017, Pagina/e 308-316, ISBN 978-1-5386-3437-0
Editore: IEEE
DOI: 10.1109/SAMOS.2017.8344645

Autotuning and adaptivity in energy efficient HPC systems - the ANTAREX toolbox

Autori: Cristina Silvano, Daniele Cesarini, Joao Cardoso, Joao Bispo, Pedro Pinto, Riccardo Nobre, Erven Rohou, Loïc Besnard, Imane Lasri, Nico Sanna, Carlo Cavazzoni, Gianluca Palermo, Radim Cmar, Jan Martinovič, Kateřina Slaninová, Martin Golasowski, Andrea R. Beccari, Candida Manelfi, Giovanni Agosta, Amir H. Ashouri, Davide Gadioli, Stefano Cherubin, Emanuele Vitali, Luca Benini, Andrea Bartolini
Pubblicato in: Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18, 2018, Pagina/e 270-275, ISBN 9781-450357616
Editore: ACM Press
DOI: 10.1145/3203217.3205338

SOCRATES — A seamless online compiler and system runtime autotuning framework for energy-aware applications

Autori: Davide Gadioli, Ricardo Nobre, Pedro Pinto, Emanuele Vitali, Amir H. Ashouri, Gianluca Palermo, Joao Cardoso, Cristina Silvano
Pubblicato in: 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018, Pagina/e 1143-1146, ISBN 978-3-9819263-0-9
Editore: IEEE
DOI: 10.23919/DATE.2018.8342183

Server-side navigation service benchmarking tool

Autori: Martin Golasowski, Kateřina Slaninová, Jiří Ševčík, Vít Ptošek, David Vojtek
Pubblicato in: Proceedings of the 14th International Symposium on Operational Research, SOR 2017, 2017, Pagina/e 85-90, ISBN 978-9616-16550-1
Editore: SLOVENIAN SOCIETY INFORMATIKA

Exploitation of HPC infrastructure services for real-time critical small requests

Autori: Jiří Ševčík, Martin Golasowski, Jan Martinovič, David Vojtek, Jan Faltýnek
Pubblicato in: 30th European Modeling and Simulation Symposium, EMSS 2018, 2018, Pagina/e 218-225, ISBN 978-8885-74106-5
Editore: Dime University of Genoa

Real time traffic simulator for self-adaptive navigation system validation

Autori: Vít Ptošek, Jiří Ševčík, Jan Martinovič, Kateřina Slaninová, Lukáš Rapant, Radim Cmar
Pubblicato in: 30th European Modeling and Simulation Symposium, EMSS 2018, 2018, Pagina/e 274-283, ISBN 978-8885-74106-5
Editore: Dime University of Genoa

Accelerating a Geometric Approach to Molecular Docking with OpenACC

Autori: Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Andrea Beccari, Cristina Silvano
Pubblicato in: Proceedings of the 6th International Workshop on Parallelism in Bioinformatics - PBio 2018, 2018, Pagina/e 45-51, ISBN 9781-450365314
Editore: ACM Press
DOI: 10.1145/3235830.3235835

Cooling-aware node-level task allocation for next-generation green HPC systems

Autori: Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
Pubblicato in: 2016 International Conference on High Performance Computing & Simulation (HPCS), 2016, Pagina/e 690-696, ISBN 978-1-5090-2088-1
Editore: IEEE
DOI: 10.1109/HPCSim.2016.7568402

Evaluation of synchronization protocols for fine-grain HPC sensor data time-stamping and collection

Autori: Antonio Libri, Andrea Bartolini, Michele Magno, Luca Benini
Pubblicato in: 2016 International Conference on High Performance Computing & Simulation (HPCS), 2016, Pagina/e 818-825, ISBN 978-1-5090-2088-1
Editore: IEEE
DOI: 10.1109/HPCSim.2016.7568419

Benefits in Relaxing the Power Capping Constraint

Autori: Daniele Cesarini, Andrea Bartolini, Luca Benini
Pubblicato in: Proceedings of the 1st Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems - ANDARE '17, 2017, Pagina/e 1-6, ISBN 9781-450353632
Editore: ACM Press
DOI: 10.1145/3152821.3152878

Prediction horizon vs. efficiency of optimal dynamic thermal control policies in HPC nodes

Autori: Daniele Cesarini, Andrea Bartolini, Luca Benini
Pubblicato in: 2017 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), 2017, Pagina/e 1-6, ISBN 978-1-5386-2880-5
Editore: IEEE
DOI: 10.1109/VLSI-SoC.2017.8203471

Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools

Autori: Francesco Beneventi, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
Pubblicato in: Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, 2017, Pagina/e 1038-1043, ISBN 978-3-9815370-8-6
Editore: IEEE
DOI: 10.23919/DATE.2017.7927143

Evaluation of NTP/PTP Fine-Grain Synchronization Performance in HPC Clusters

Autori: Libri, Antonio Bartolini, Andrea Cesarini, Danielecc Benini, Luca
Pubblicato in: 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems (ANDARE 2018), Numero annual, 2018
Editore: ACM

COUNTDOWN - A Run-time Library for Application-agnostic Energy Saving in MPI Communication Primitives

Autori: Cesarini, Danielecc Bartolini, Andrea Bonfà, Piero Cavazzoni, Carlo Benini, Luca
Pubblicato in: 2nd Workshop on AutotuniNg and aDaptivity AppRoaches for Energy efficient HPC Systems (ANDARE 2018), 2018
Editore: ACM

DiG: Enabling Out-of-Band Scalable High-Resolution Monitoring for Data-Center Analytics, Automation and Control

Autori: Libri, Antonio Bartolini, Andrea Benini, Luca
Pubblicato in: The 2nd International Industry/University Workshop on Data-center Automation, Analytics, and Control (DAAC 2018), 2018
Editore: IEEE

The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support

Autori: Andrea Bartolini, Andrea Borghesi, Antonio Libri, Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda, Piero Altoè
Pubblicato in: Proceedings of the 15th ACM International Conference on Computing Frontiers - CF '18, 2018, Pagina/e 303-308, ISBN 9781-450357616
Editore: ACM Press
DOI: 10.1145/3203217.3205863

Embedded Operating System Optimization through Floating to Fixed Point Compiler Transformation

Autori: Daniele Cattaneo, Antonio Di Bello, Stefano Cherubin, Federico Terraneo, Giovanni Agosta
Pubblicato in: 2018 21st Euromicro Conference on Digital System Design (DSD), 2018, Pagina/e 172-176, ISBN 978-1-5386-7377-5
Editore: IEEE
DOI: 10.1109/DSD.2018.00042

Design Space Pruning and Computational Workload Splitting for Autotuning OpenCL Applications

Autori: Ahmet Erdem, Davide Gadioli, Gianluca Palermo, Cristina Silvano
Pubblicato in: Proceedings of the Rapido'18 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools - RAPIDO '18, 2018, Pagina/e 1-6, ISBN 9781-450364171
Editore: ACM Press
DOI: 10.1145/3180665.3180669

Stack size estimation on machine-independent intermediate code for OpenCL kernels

Autori: Stefano Cherubin, Michele Scandale, Giovanni Agosta
Pubblicato in: Proceedings of the 7th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 5th Workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms on - PARMA-DITAM '16, 2016, Pagina/e 1-6, ISBN 9781-450340526
Editore: ACM Press
DOI: 10.1145/2872421.2872425

A Scalable Framework for Online Power Modelling of High-Performance Computing Nodes in Production

Autori: Federico Pittino, Francesco Beneventi, Andrea Bartolini, Luca Benini
Pubblicato in: 2018 International Conference on High Performance Computing & Simulation (HPCS), 2018, Pagina/e 300-307, ISBN 978-1-5386-7879-4
Editore: IEEE
DOI: 10.1109/HPCS.2018.00058

An OpenMP based Parallelization Compiler for C Applications

Autori: Hamid Arabnejad, João Bispo, Jorge Manuel Gomes Barbosa, João M. P. Cardoso
Pubblicato in: IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2018), Numero 16th, Annual, 2018
Editore: IEEE

LARA as a language-independent aspect-oriented programming approach

Autori: Pedro Pinto, Tiago Carvalho, João Bispo, João M. P. Cardoso
Pubblicato in: Proceedings of the Symposium on Applied Computing - SAC '17, 2017, Pagina/e 1623-1630, ISBN 9781-450344869
Editore: ACM Press
DOI: 10.1145/3019612.3019749

Aspect-Driven Mixed-Precision Tuning Targeting GPUs

Autori: Ricardo Nobre, Luís Reis, João Bispo, Tiago Carvalho, João M.P. Cardoso, Stefano Cherubin, Giovanni Agosta
Pubblicato in: Proceedings of the 9th Workshop and 7th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms - PARMA-DITAM '18, 2018, Pagina/e 26-31, ISBN 9781-450364447
Editore: ACM Press
DOI: 10.1145/3183767.3183776

AutoPar-Clava - An Automatic Parallelization source-to-source tool for C code applications

Autori: Hamid Arabnejad, João Bispo, Jorge G. Barbosa, João M.P. Cardoso
Pubblicato in: Proceedings of the 9th Workshop and 7th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms - PARMA-DITAM '18, 2018, Pagina/e 13-19, ISBN 9781-450364447
Editore: ACM Press
DOI: 10.1145/3183767.3183770

Implications of Reduced-Precision Computations in HPC: Performance, Energy and Error

Autori: Cherubin , Stefano; Agosta , Giovanni; Lasri , Imane; Rohou , Erven; Sentieys , Olivier
Pubblicato in: International Conference on Parallel Computing (ParCo), Numero 2, 2017
Editore: IOS Press

Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach

Autori: Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. Beccari, Luca Benini, João Bispo, Radim Cmar, João M. P. Cardoso, Carlo Cavazzoni, Jan Martinovic, Gianluca Palermo, Martin Palkovic, Pedro Pinto, Erven Rohou, Nico Sanna, Katerina Slaninová
Pubblicato in: Proceedings of 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016, Dresden, Germany, March 14-18, 2016, 2016, Pagina/e 708--713, ISBN 978-3-9815-3707-9
Editore: IEEE

The ANTAREX approach to autotuning and adaptivity for energy efficient HPC systems

Autori: Cristina Silvano, Kateřina Slaninová, João Bispo, João M. P. Cardoso, Rui Abreu, Pedro Pinto, Carlo Cavazzoni, Nico Sanna, Andrea R. Beccari, Radim Cmar, Erven Rohou, Giovanni Agosta, Stefano Cherubin, Davide Gadioli, Gianluca Palermo, Andrea Bartolini, Luca Benini, Jan Martinovič, Martin Palkovič
Pubblicato in: Proceedings of the ACM International Conference on Computing Frontiers - CF '16, 2016, Pagina/e 288-293, ISBN 9781-450341288
Editore: ACM Press
DOI: 10.1145/2903150.2903470

ANTAREX -- AutoTuning and Adaptivity appRoach for Energy Efficient eXascale HPC Systems

Autori: Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea Beccari, Luca Benini, Joao M. P. Cardoso, Carlo Cavazzoni, Radim Cmar, Jan Martinovic, Gianluca Palermo, Martin Palkovic, Erven Rohou, Nico Sanna, Katerina Slaninova
Pubblicato in: 2015 IEEE 18th International Conference on Computational Science and Engineering, 2015, Pagina/e 343-346, ISBN 978-1-4673-8297-7
Editore: IEEE
DOI: 10.1109/CSE.2015.58

COBAYN

Autori: Amir Hossein Ashouri, Giovanni Mariani, Gianluca Palermo, Eunjung Park, John Cavazos, Cristina Silvano
Pubblicato in: ACM Transactions on Architecture and Code Optimization, Numero 13/2, 2016, Pagina/e 1-25, ISSN 1544-3566
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/2928270

MiCOMP

Autori: Amir H. Ashouri, Andrea Bignoli, Gianluca Palermo, Cristina Silvano, Sameer Kulkarni, John Cavazos
Pubblicato in: ACM Transactions on Architecture and Code Optimization, Numero 14/3, 2017, Pagina/e 1-28, ISSN 1544-3566
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3124452

mARGOt: a Dynamic Autotuning Framework for Self-aware Approximate Computing

Autori: Davide Gadioli, Emanuele Vitali, Gianluca Palermo, Cristina Silvano
Pubblicato in: IEEE Transactions on Computers, 2018, Pagina/e 1-1, ISSN 0018-9340
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TC.2018.2883597

Feasibility Analysis Of Using the MAUI Scheduler for Job Simulation of Large-scale PBS Based Clusters

Autori: Georg Zitzlsberger, Branislav Jansík, Jan Martinovič
Pubblicato in: IADIS International Journal on Computer Science and Information Systems, Numero 13/2, 2018, Pagina/e 47-61, ISSN 1646-3692
Editore: IADIS Press

Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green Supercomputer

Autori: Francesco Fraternali, Andrea Bartolini, Carlo Cavazzoni, Luca Benini
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, Numero 29/7, 2018, Pagina/e 1575-1588, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPDS.2017.2766151

Thermal Analysis and Interpolation Techniques for a Logic + WideIO Stacked DRAM Test Chip

Autori: Francesco Beneventi, Andrea Bartolini, Pascal Vivet, Luca Benini
Pubblicato in: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Numero 35/4, 2016, Pagina/e 623-636, ISSN 0278-0070
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TCAD.2015.2474382

Robust identification of thermal models for in-production High-Performance-Computing clusters with machine learning-based data selection

Autori: Federico Pittino, Roberto Diversi, Luca Benini, Andrea Bartolini
Pubblicato in: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, Pagina/e under review, ISSN 0278-0070
Editore: Institute of Electrical and Electronics Engineers

COUNTDOWN - three, two, one, low power! A Run-time Library for Energy Saving in MPI Communication Primitives

Autori: Daniele Cesarini, Andrea Bartolini, Pietro Bonfà, Carlo Cavazzoni, Luca Benini
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, 2019, Pagina/e under review, ISSN 1045-9219
Editore: Institute of Electrical and Electronics Engineers

libVersioningCompiler: An easy-to-use library for dynamic generation and invocation of multiple code versions

Autori: S. Cherubin, G. Agosta
Pubblicato in: SoftwareX, Numero 7, 2018, Pagina/e 95-100, ISSN 2352-7110
Editore: ELSEVIER
DOI: 10.1016/j.softx.2018.03.006

Aspect composition for multiple target languages using LARA

Autori: Pedro Pinto, Tiago Carvalho, João Bispo, Miguel António Ramalho, João M.P. Cardoso
Pubblicato in: Computer Languages, Systems & Structures, Numero 53, 2018, Pagina/e 1-26, ISSN 1477-8424
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cl.2017.12.003

Expressing and Applying C++ Code Transformations for the HDF5 API Through a DSL

Autori: Martin Golasowski, João Bispo, Jan Martinovič, Kateřina Slaninová, João M. P. Cardoso
Pubblicato in: Computer Information Systems and Industrial Management, Numero 10244, 2017, Pagina/e 303-314, ISBN 978-3-319-59104-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-59105-6_26

Multi-node Approach for Map Data Processing

Autori: Vít Ptošek, Kateřina Slaninová
Pubblicato in: Advanced Computing and Systems for Security - Volume Seven, Numero 897, 2019, Pagina/e 91-104, ISBN 978-981-13-3249-4
Editore: Springer Singapore
DOI: 10.1007/978-981-13-3250-0_7

Vertex Importance Extension of Betweenness Centrality Algorithm

Autori: Jiří Hanzelka, Michal Běloch, Jan Martinovič, Kateřina Slaninová
Pubblicato in: Data Management, Analytics and Innovation - Proceedings of ICDMAI 2018, Volume 1, Numero 808, 2019, Pagina/e 61-72, ISBN 978-981-13-1401-8
Editore: Springer Singapore
DOI: 10.1007/978-981-13-1402-5_5

Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption

Autori: Ricardo Nobre, Luís Reis, João M.P. Cardoso
Pubblicato in: 2018
Editore: CoRR

The ANTAREX Domain Specific Language for High Performance Computing

Autori: Cristina Silvano, Giovanni Agosta, Andrea Bartolini, Andrea R. 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 Martinovič, Gianluca Palermo, Pedro Pinto, Erven Rohou, Kateřina Slaninová, Emanuele Vitali
Pubblicato in: CoRR, 2019
Editore: arXiv.org

On-line Application Autotuning Exploiting Ensemble Models

Autori: Tomas Martinovic, Davide Gadioli, Gianluca Palermo, Cristina Silvano
Pubblicato in: CoRR, 2019
Editore: arXiv.org

An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System

Autori: Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Martin Golasowski, Joao Bispo, Pedro Pinto, Jan Martinovic, Katerina Slaninova, Joao M. P. Cardoso, Cristina Silvano
Pubblicato in: CoRR, 2019
Editore: arXiv.org

Exploiting OpenMP & OpenACC to Accelerate a Molecular Docking Mini-App in Heterogeneous HPC Nodes

Autori: Emanuele Vitali, Davide Gadioli, Gianluca Palermo, Andrea Beccari, Carlo Cavazzoni, Cristina Silvano
Pubblicato in: CoRR, 2019
Editore: arXiv.org

Tunable Approximations to Control Time-to-Solution in an HPC Molecular Docking Mini-App

Autori: Davide Gadioli, Gianluca Palermo, Stefano Cherubin, Emanuele Vitali, Giovanni Agosta, Candida Manelfi, Andrea R. Beccari, Carlo Cavazzoni, Nico Sanna, Cristina Silvano
Pubblicato in: CoRR, 2019
Editore: arXiv.org

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