Overlapping communication with computation is a well-known technique to increase application performance. While it is commonly assumed that communication and computation can be overlapped at no cost, in reality they interfere with each other. In this paper we empirically eval-uate the interference rate of communication on computation via measurements on a single processor communicating on a heterogeneous collection of local and remote proces-sors, in both Java and C. We then present a model of inter-ference, which can be used for more effective application scheduling, as demonstrated by real-world experiments
International audienceThe large scale parallel and distributed platforms produce a continuously incr...
In the field of embedded systems, computers embedded into machines ranging from microwaveovensto ass...
A programmable Java distributed system, which adapts to available resources, has been developed to ...
Overlapping communication with computation is a well-known technique to increase application perform...
Recent research and production environments are deploying more container technologies for the execut...
Parallel applications commonly face the problem of sitting idle while waiting for remote data to bec...
International audienceParallel runtime systems such as MPI or task-based libraries provide models to...
Asynchronous task-based programming models are gaining popularity to address the programmability and...
Effective overlap of computation and communication is a well understood technique for latency hiding...
Hiding communication latency is an important optimization for parallel programs. Programmers or com...
Abstract. We present an algorithm to determine communicator vari-ables in parallel programs. If comm...
The goal of parallel processing is to achieve high speed computing by partitioning a program into co...
Clouds are an irreplaceable part of many business applications. They provide tremendous flexibility ...
Conventional wisdom suggests that the most efficient use of modern computing clusters employs techni...
Accesses to shared resources in multi-core systems raise predictability issues. The delay in accessi...
International audienceThe large scale parallel and distributed platforms produce a continuously incr...
In the field of embedded systems, computers embedded into machines ranging from microwaveovensto ass...
A programmable Java distributed system, which adapts to available resources, has been developed to ...
Overlapping communication with computation is a well-known technique to increase application perform...
Recent research and production environments are deploying more container technologies for the execut...
Parallel applications commonly face the problem of sitting idle while waiting for remote data to bec...
International audienceParallel runtime systems such as MPI or task-based libraries provide models to...
Asynchronous task-based programming models are gaining popularity to address the programmability and...
Effective overlap of computation and communication is a well understood technique for latency hiding...
Hiding communication latency is an important optimization for parallel programs. Programmers or com...
Abstract. We present an algorithm to determine communicator vari-ables in parallel programs. If comm...
The goal of parallel processing is to achieve high speed computing by partitioning a program into co...
Clouds are an irreplaceable part of many business applications. They provide tremendous flexibility ...
Conventional wisdom suggests that the most efficient use of modern computing clusters employs techni...
Accesses to shared resources in multi-core systems raise predictability issues. The delay in accessi...
International audienceThe large scale parallel and distributed platforms produce a continuously incr...
In the field of embedded systems, computers embedded into machines ranging from microwaveovensto ass...
A programmable Java distributed system, which adapts to available resources, has been developed to ...