Mapping applications onto parallel platforms is a challenging problem, that becomes even more difficult when platforms are heterogeneous --nowadays a standard assumption. A high-level approach to parallel programming not only eases the application developer's task, but it also provides additional information which can help realize an efficient mapping of the application. In this paper, we discuss the mapping of pipeline skeletons onto different types of platforms: fully homogeneous platforms with identical processors and interconnection links; communication homogeneous platforms, with identical links but different speed processors; and finally, heterogeneous platforms. We assume that a pipeline stage must be mapped on a single processor, an...
We aim at finding optimal mappings for concurrent streaming applications. Each application consists ...
Mapping applications onto parallel platforms is a challenging problem, even for simple application p...
Parallel and heterogeneous systems are ubiquitous. Unfortunately, both require significant complexit...
Mapping applications onto parallel platforms is a challenging problem, that becomes even more diffic...
Mapping applications onto parallel platforms is a challenging problem, that becomes even more diffic...
(eng) Mapping applications onto parallel platforms is a challenging problem, that becomes even more ...
Mapping workflow applications onto parallel platforms is a challenging problem, even for simple appl...
Mapping a pipelined application onto a distributed and parallel platform is a challenging problem. T...
In this paper, we explore the problem of mapping simple application patterns onto large-scale hetero...
International audienceIn this paper, we explore the problem of mapping linear chain applications ont...
The single core processor, which has dominated for over 30 years, is now obsolete with recent trends...
The streaming model is a popular model for writing high-throughput parallel applications. A streamin...
Mapping and scheduling an application onto the processors of a parallel system is a difficult proble...
This paper presents theoretical results related to mapping and scheduling linear workowsonto heterog...
Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple applicat...
We aim at finding optimal mappings for concurrent streaming applications. Each application consists ...
Mapping applications onto parallel platforms is a challenging problem, even for simple application p...
Parallel and heterogeneous systems are ubiquitous. Unfortunately, both require significant complexit...
Mapping applications onto parallel platforms is a challenging problem, that becomes even more diffic...
Mapping applications onto parallel platforms is a challenging problem, that becomes even more diffic...
(eng) Mapping applications onto parallel platforms is a challenging problem, that becomes even more ...
Mapping workflow applications onto parallel platforms is a challenging problem, even for simple appl...
Mapping a pipelined application onto a distributed and parallel platform is a challenging problem. T...
In this paper, we explore the problem of mapping simple application patterns onto large-scale hetero...
International audienceIn this paper, we explore the problem of mapping linear chain applications ont...
The single core processor, which has dominated for over 30 years, is now obsolete with recent trends...
The streaming model is a popular model for writing high-throughput parallel applications. A streamin...
Mapping and scheduling an application onto the processors of a parallel system is a difficult proble...
This paper presents theoretical results related to mapping and scheduling linear workowsonto heterog...
Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple applicat...
We aim at finding optimal mappings for concurrent streaming applications. Each application consists ...
Mapping applications onto parallel platforms is a challenging problem, even for simple application p...
Parallel and heterogeneous systems are ubiquitous. Unfortunately, both require significant complexit...