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Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing

Objective

High Performance Computing (HPC) has become a major instrument for many scientific and industrial fields to generate new insights and product developments. There is a continuous demand for growing compute power, leading to a constant increase in system size and complexity. Efficiently utilizing the resources provided on Exascale systems will be a challenging task, potentially causing a large amount of underutilized resources and wasted energy. Parameters for adjusting the system to application requirements exist both on the hardware and on the system software level but are mostly unused today. Moreover, accelerators and co-processors offer a significant performance improvement at the cost of increased overhead, e.g., for data-transfers.
While HPC applications are usually highly compute intensive, they also exhibit a large degree of dynamic behaviour, e.g., the alternation between communication phases and compute kernels. Manually detecting and leveraging this dynamism to improve energy-efficiency is a tedious task that is commonly neglected by developers. However, using an automatic optimization approach, application dynamism can be detected at design-time and used to generate optimized system configurations. A light-weight run-time system will then detect this dynamic behaviour in production and switch parameter configurations if beneficial for the performance and energy-efficiency of the application. The READEX project will develop an integrated tool-suite and the READEX Programming Paradigm to exploit application domain knowledge, together achieving an improvement in energy-efficiency of up to 22.5%.
Driven by a consortium of European experts from academia, HPC resource providers, and industry, the READEX project will develop a tools-aided methodology to exploit the dynamic behaviour of applications to achieve improved energy-efficiency and performance. The developed tool-suite will be efficient and scalable to support current and future extreme scale systems.

Field of science

  • /social sciences/sociology/governance/taxation
  • /natural sciences/computer and information sciences/software/system software
  • /engineering and technology/environmental engineering/air pollution engineering

Call for proposal

H2020-FETHPC-2014
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

TECHNISCHE UNIVERSITAET DRESDEN
Address
Helmholtzstrasse 10
01069 Dresden
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 657 750

Participants (6)

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
Norway
EU contribution
€ 706 800
Address
Hogskoleringen 1
7491 Trondheim
Activity type
Higher or Secondary Education Establishments
VSB - TECHNICAL UNIVERSITY OF OSTRAVA
Czechia
EU contribution
€ 457 500
Address
17 Listopadu 2172/15
708 00 Ostrava Poruba
Activity type
Higher or Secondary Education Establishments
NATIONAL UNIVERSITY OF IRELAND GALWAY
Ireland
EU contribution
€ 451 250
Address
University Road
H91 Galway
Activity type
Higher or Secondary Education Establishments
INTEL CORPORATION SAS
France
EU contribution
€ 490 625
Address
Rue De Paris 2 Les Montalets 2
92196 Meudon
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 541 750
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments
GNS MBH GESELLSCHAFT FUR NUMERISCHE SIMULATION MBH
Germany
EU contribution
€ 228 523,75
Address
Am Gaußberg 2
38114 Braunschweig
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)