Real parallel applications find little benefits from code portability that does not guarantee acceptable efficiency. In this paper, we describe the new features of a framework that allows the development of Single Program Multiple Data (SPMD) applications adaptable to different distributed-memory machines, varying from traditional parallel computers to networks of workstations. Special programming primitives providing indirect accesses to the platform and data domain guarantee code portability and open the way to runtime optimizations carried out by a scheduler and a runtime support
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
this paper, we describe the programming environment called DAME (DAta Migration Environment) that su...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
. We present compiler optimization techniques for explicitly parallel programs that communicate thro...
Achieving scalable performance for dynamic irregular applications is eminently challenging. Traditio...
This article discusses dependence analysis and transformations for SPMD programs with collective com...
Parallel environments consisting of a network of heterogeneous workstations introduce an inherently ...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
International audienceScientific programmers are eager to take advantage of the computational power ...
International audienceScientific programmers are eager to take advantage of the computational power ...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
Efficient parallel computing on distributed platforms still presents many obstacles. This paper addr...
this paper, we describe the programming environment called DAME (DAta Migration Environment) that su...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
Combining easy-to-use parallelism, portability and efficiency is a very hard task when traditional p...
. We present compiler optimization techniques for explicitly parallel programs that communicate thro...
Achieving scalable performance for dynamic irregular applications is eminently challenging. Traditio...
This article discusses dependence analysis and transformations for SPMD programs with collective com...
Parallel environments consisting of a network of heterogeneous workstations introduce an inherently ...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
International audienceScientific programmers are eager to take advantage of the computational power ...
International audienceScientific programmers are eager to take advantage of the computational power ...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...
The single-program multiple-data (SPMD) paradigm is becoming the most diffuse way to program commerc...
Distributed systems have the potentiality of becoming an alternative platform for parallel computati...