ANTAREX. AutoTuning and Adaptivity approach for Energy efficient exascale HPC systems. Type of action: H2020: Research & Innovation Actions (RIA)

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1 ANTAREX AutoTuning and Adaptivity approach for Energy efficient exascale HPC systems Call: H2020-FET-HPC Type of action: H2020: Research & Innovation Actions (RIA) Topics: Subtopic Project Coordinator HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications b) Programming methodologies, environments, languages and tools Politecnico di Milano EC Contribution 3, 115, 251 euro Project start: September 1st, 2015 (duration 3 years) Kick-off meeting held at CINECA (Italy) 1

2 Target Scenario To reach the DARPA s target of 20MW of Exascale supercomputers projected to 2020, current supercomputers must achieve an energy efficiency quantum leap, pushing towards a goal of 50 GFlops/W. Heterogeneous systems currently dominate the top of the Green500 list and this dominance is expected to be a trend for the next coming years to reach the target of 20MW Exascale supercomputers. Energy-efficient heterogeneous supercomputers need to be coupled with a radically new software stack capable of exploiting the benefits offered by heterogeneity at all the different levels (supercomputer, job, node) to meet the scalability and energy efficiency required by the Exascale era. 2 H ANTAREX Project

3 Target Scenario To reach the DARPA s target of 20MW of Exascale supercomputers projected to 2020, current supercomputers must achieve an energy efficiency quantum leap, pushing towards a goal of 50 GFlops/W. The main goal of the ANTAREX project is to provide a breakthrough approach to express by a Domain Specific Language Heterogeneous systems currently dominate the top of the Green500 list and this dominance is expected to be a trend for the next coming years to reach the application the target of 20MW self-adaptivity Exascale supercomputers. and to runtime manage and autotune applications for green and heterogeneous High Performance Computing (HPC) systems up to the Exascale level. To fulfil this target, energy-efficient heterogeneous supercomputers need to be coupled with a radically new software stack capable of exploiting the benefits offered by heterogeneity at all the different levels (supercomputer, job, node) to meet the scalability and energy efficiency required by the Exascale era. 3 H ANTAREX Project

4 ANTAREX Main Objectives 1. Dynamic self-monitoring and self-adaptivity or «autotuning» HPC applications with respect to changing workloads, operating conditions and computing resources. 2. Programming models and languages to express self-adaptivity and extra-functional properties. Introducing a separation of concerns between extra-funxtional strategies (self-adaptivity, parallelisation, energy/thermal management) and application functionality by the design of a new aspect-oriented Domain Specific Language. 3. Exploiting heterogeneous computing resources in Green HPC platforms by runtime resource and power management 4 H ANTAREX Project

5 The ANTAREX Approach Introducing a new DSL (as and extension of the LARA language) for expressing adaptivity and autotuning strategies. Enabling performance/energy control loops by introducing software knobs (application parameters, code transformations and code variants) to be tuned w.r.t. the execution environment. Monitoring the evolution of the supercomputer as well as the application status to provide feed-back to the ANTAREX energy/performance-aware software stack. Runtime adaptive resource allocation and power management (job dispatching, task scheduling, dynamic voltage/frequency scaling and cooling control). 5 H ANTAREX Project

6 Progress beyond state-of-the-art 6 H ANTAREX Project

7 Two HPC application scenarios 1) A biopharmaceutical HPC application for accelerating drug discovery provided by Dompé and to be deployed on the 1.2 PetaFlops heterogeneous NeXtScale Tier-1 Intel-based IBM system at CINECA 2) A self-adaptive navigation system provided by SYGIC to be used in smart cities and deployed on the server-side on an heterogeneous Intel-based PetaFlops class system given by IT4Innovations Supercomputing Center. HPC 7 H ANTAREX Project

8 ANTAREX in SRA of ETP4HPC 8 H ANTAREX Project

9 ANTAREX relation to the work programme H2020-FETHPC Topic: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications Specific challenge: The challenge is to achieve, by 2020, the full range of technological capabilities needed for delivering a broad spectrum of extreme scale HPC systems. The designs of these systems need to respond to critical demands of energy efficiency, new delivery models, as well as to the requirements of new types of applications, including extreme-data applications. ANTAREX Contribution ANTAREX focuses on a holistic approach to support heterogeneous HPC systems aiming at executing variable workloads within tight energy budgets. To this end, ANTAREX employs runtime self-adaptability as a key technique for enabling HPC systems to adjust their behaviour to changes in the workload or operating conditions resulting from temporal evolution, or inaccuracy in static performance prediction and variability of computing resources, thus enabling close to optimal operation in the face of such changing conditions. 9 H ANTAREX Project

10 ANTAREX relation to the work programme Subtopic a) HPC core technologies and architectures, addressing one or more of the HPC core technologies (processors, memory, interconnect and storage) and their optimal integration into extreme scale HPC systems, platforms and prototypes. Subtopic c) APIs and system software for future extreme scale systems: new APIs and the corresponding efficient, flexible and scalable exascale system software for managing extreme scale systems, taking into account extreme parallelism, extreme data, energy consumption and resilience. 10 H ANTAREX Project ANTAREX covers only partially subtopic (a), since its primary focus is on developing a holistic software stack for enabling applications to exploit the architectural heterogeneity to realize the potential energy-saving and performance gain of next-generation exascale systems and meet the expected 20 MW power envelope in ANTAREX covers only partially subtopic (c). Within the holistic approach to the supercomputing software stack, the aspects of energy management, parallelism, heterogeneity, and resource management are addressed. The nature of the DSL is such that individual methodologies for energy management, resource management, and so on will be encoded as APIs directly accessible from the DSL.

11 ANTAREX relation to the work programme Subtopic b) Programming methodologies, environments, languages and tools: development of new programming models, domain-specific languages, programming paradigms, visualisation and dataanalysis tools to facilitate the effective exploitation of the full system capabilities (including energy management) of the emerging large- and extreme scale systems, in particular for extreme parallelism and extreme data applications. The primary contribution of the ANTAREX project is aimed towards covering the subtopic (b) of the call. The main technical goal of the project is the definition of a disruptive holistic approach spanning all the decision layers composing the supercomputer software stack and exploiting effectively the full system capabilities (including heterogeneity and energy management). ANTAREX introduces a new domain specific language to support the development of selfadaptive HPC applications. The goal is to support the parallelism, scalability and adaptability of a dynamic workload by exploiting the full system capabilities (including energy management) for emerging large-scale and extreme-scale systems, while reducing the Total Cost of Ownership (TCO) for companies and public organizations. 11 H ANTAREX Project

12 The New Research Partecipant Portal 12 H ANTAREX Project

13 The New Research Partecipant Portal Semplificazione del processo di assembly del proposal: Migliore gestione dei contatti tra i partners, della documentazione necessaria (TA, Partners roles, etc.) e del workflow di preparazione. Miglioramento della fase di negoziazione: Singolo punto di accesso per tutta la documentazione in revisione (sia tecnica che amministrativa) dopo l approvazione del progetto. Centralizzazione dei risultati di progetto: Singolo punto di accesso per tutta la documentazione durante la realizzazione del progetto (deliverables, eventuali project amendments, etc.). 13 H ANTAREX Project

14 Cosa c è di nuovo? Proposal in H2020 Almeno dal nostro punto di vista di proponenti Una serie di miglioramenti e semplificazioni che aiutano i ricercatori nella stesura di un proposal 14 H ANTAREX Project

15 Proposal in H2020 Preparazione semplificata Il limite massimo di 70 pagine per il TA «aiuta» a focalizzare gli Obiettivi Realizzativi del progetto e i template di riferimento a «rimanere» nei temi specifici per la call. Semplificazione dei costi Diversamente che in FP7 ora i partner industriali sono equiparati a quelli di ricerca con un refund che passa dal 75 al 100% e per tutti si potranno avere overheads fino al massimo del 125%. 15 H ANTAREX Project

16 Proposal in H2020 Semplificazione della negoziazione A progetto approvato, non c è più una negoziazione economica ma un processo di revisione tecnica e dove necessario, di requisiti etici. Ad es., nel nostro caso ci è stato richiesto di: Spostare dove possibile i deriverables programmati su base annuale rispetto al NUOVO schema con review a 18/36 mesi. VIT: solo due review invece di tre! Verifica della privacy nel caso dello UC2 dove possono entrare in gioco i dati utente sulla app di Sygic. 16 H ANTAREX Project

17 Proposal in H2020 Semplificazione della negoziazione Comunque la parte di revisione tecnicoscientifica richiesta dai valutatori ha sempre un ruolo importante ma rispetto al FP7 è centrale nella nuova fase di negoziazione. Vediamo brevemente alcuni esempi dal nostro progetto ANTAREX 17 H ANTAREX Project

18 Revisione proposal ANTAREX in H2020 Changes added to explicitly address the comments of the evaluators: 1) Excellence Part: However, the coherence of the objectives was not fully convincingly elaborated Sentence added on page 5. However, the presentation of the DSL-based strategies and templates are not very concrete. Appendix 1 on DSL concrete examples has been added and cited on page 9 The end user requirements are not considered sufficiently. Sentence added on page H ANTAREX Project

19 Revisione proposal ANTAREX in H2020 Changes added to explicitly address the comments of the evaluators: 2) Impact Part: However the potential is not sufficiently demonstrated. Figure and text added on page 34 and 35 The go-to-market strategy of the industrial partners innovations has been poorly addressed. Paragraph added on page 39 3) Implementation Part: However the risk assessment is incomplete. Handling of technical and organizational risks it not fully convincingly addressed. Business and commercial risks are only vaguely considered. Risk Table a modified on page 67/68 19 H ANTAREX Project

20 ANTAREX AutoTuning and Adaptivity approach for Energy efficient exascale HPC systems Cristina Silvano ANTAREX Project Coordinator Politecnico di Milano Nico Sanna ANTAREX WP4 UC1 leader CINECA 20 H ANTAREX Project

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