Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Georgios Georgakarakos"'
Autor:
Sebastien Lafond, Georgios Georgakarakos, Sudeep Kanur, Antti Simla, Kristian Nybom, Jérémie Lagravière, Johan Lilius
Publikováno v:
HPCS
The near channel performance of Low Density Parity Check Codes (LDPC) has motivated its wide applications. Iterative decoding of LDPC codes provides significant implementation challenges as the complexity grows with the code size. Recent trends in in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c089fc0b8a1d663c88e06d4d94ffad9e
Autor:
Johan Lilius, Georgios Georgakarakos
Publikováno v:
PDP
Dataflow modelling is a popular technique for describing parallel algorithms. Using dataflow, algorithm parallelism can be modelled and analysed efficiently at a high level of abstraction. However, challenges arise when translating dataflow semantics
Publikováno v:
Concurrency and Computation: Practice and Experience. 32
Autor:
Johan Lilius, Georgios Georgakarakos
Publikováno v:
DASIP
The dataflow programming paradigm is a flexible and efficient methodology to describe parallel algorithms and optimize their scheduling and mapping in emerging multicore architectures. Transforming dataflow descriptions in executable code without sch
Publikováno v:
PDP
Heterogeneous architectures offer the opportunity to achieve high performance and energy efficiency by selecting appropriate cores for execution of ever changing software applications. Appropriate core selection depends on the interaction between the
Publikováno v:
2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017
2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017, Oct 2017, Lorient, France. pp. 8110023, ⟨10.1109/SiPS.2017.8110023⟩
SiPS
2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017, Oct 2017, Lorient, France. pp. 8110023, ⟨10.1109/SiPS.2017.8110023⟩
SiPS
International audience; Dataflow models of computation have early on been acknowledged as an attractive methodology to describe parallel algorithms, hence they have become highly relevant for programming in the current multicore processor era. While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6789596b817f2aa662facc2d9fd25f9f
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01713369
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01713369
Publikováno v:
DASIP
In this paper we evaluate the impact of task programming model in scalability and energy efficiency of dynamically parallel applications like HEVC decoding. We develop a task-based parallel HEVC decoding implementation supporting Tiles and Wavefront
Publikováno v:
GlobalSIP
High Efficiency Video Coding (HEVC) is a novel video compression standard. It provides significantly better performance than its predecessor, but introduces high computational complexity due its hierarchical block structure. Determining Coding Units
Publikováno v:
PDP
Parallel video coding has emerged from the need to map video algorithms in many/multi-core architectures and achieve ever-growing performance goals in video-based applications. Several parallelization methods have been proposed around H.264 algorithm