DEEPSEA
Parallelism and Beyond: Dynamic Parallel Computation for Efficiency and High Performance
| Coordinatore | INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie. |
| Nazionalità Coordinatore | France [FR] |
| Totale costo | 1˙076˙570 € |
| EC contributo | 1˙076˙570 € |
| Programma | FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | ERC-2012-StG_20111012 |
| Funding Scheme | ERC-SG |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-06-01 - 2018-05-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
Organization address
address: Domaine de Voluceau, Rocquencourt contact info |
FR (LE CHESNAY Cedex) | hostInstitution | 1˙076˙570.40 |
| 2 |
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE
Organization address
address: Domaine de Voluceau, Rocquencourt contact info |
FR (LE CHESNAY Cedex) | hostInstitution | 1˙076˙570.40 |
Mappa
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Obiettivo del progetto (Objective)
'We propose to radically extend the frontiers of two major themes in computing, parallelism and dynamism, and develop a novel paradigm of computing: dynamic-parallelism. To this end, we will follow two lines of research. First, we will develop techniques for extracting efficiency and high performance from parallel programs written in high-level programming languages. Second, we will develop the dynamic-parallelism model, where computations can respond to a wide variety of dynamic changes to their data automatically and efficiently, by developing novel abstractions (calculi), high-level programming-language constructs, and compilation techniques. The research will culminate in a language that extends the C programming language with support for parallel and dynamic-parallel programming.
The proposal is motivated by urgent needs driven by the advent of multicore chips, which is making parallelism mainstream, and the increasing ubiquity of software, which requires applications to operate on highly dynamic data. These advances demand parallel and highly dynamic software, which remains too difficult and labor intensive to develop. The urgency is further underlined by the increasing data and problem sizes---online data grows exponentially, doubling every few years---that require similarly powerful advances in performance.
The proposal will achieve profound impact by dramatically simplifying the development of high-performing dynamic and dynamic-parallel software. As a result, programmer productivity and software quality including correctness, reliability, performance, and resource (e.g., time and energy) consumption will improve significantly. The proposal will not only open new research opportunities in parallel computing, programming languages, and compilers, but also in other fields where parallel and dynamic problems abound, e.g., algorithms, computational biology, geometry, graphics, machine learning, and software systems.'