Modern MPI simulator frameworks assume the existence of a Computation-Communication Divide: thus, they model and simulate the computation and communication sections of an MPI Program separately. The assumption is actually sound for MPI processes that are situated in different nodes and communicate through a network medium such as Ethernet or Infiniband. For processes that are within a node however, the validity of the assumption is limited since the processes communicate using shared memory, which also figures in computation by storing the application and its associated data structures. In this work, the limits of the said assumption's validity were tested, and it is shown that Extraneous Memory Accesses (EMAs) by a compute section could si...
The original publication can be found at www.springerlink.comThis paper gives an overview of two rel...
International audienceTo amortize the cost of MPI communications, distributed parallel HPC applicati...
International audienceTo amortize the cost of MPI communications, distributed parallel HPC applicati...
Modern MPI simulator frameworks assume the existence of a Computation-Communication Divide: thus, th...
Assuming network transfer is the dominant factor of communication, current communication models esti...
International audienceWith the growing number of cores and fast network like Infiniband, one of the ...
International audienceBy allowing computation/communication overlap, MPI nonblocking collectives (NB...
In High Performance Computing (HPC), minimizing communication overhead is one of the most important ...
In modern MPI applications, communication between separate computational nodes quickly add up to a s...
In this report we describe the conversion of a simple Master-Worker parallel program from global blo...
International audienceParallel runtime systems such as MPI or task-based libraries provide models to...
International audienceOverlapping communications with computation is an efficient way to amortize th...
We examine the mechanics of the send and receive mechanism of MPI and in particular how we can impl...
This talk discusses optimized collective algorithms and the benefits of leveraging independent hardw...
We examine the mechanics of the send and receive mechanism of MPI and in particular how we can imple...
The original publication can be found at www.springerlink.comThis paper gives an overview of two rel...
International audienceTo amortize the cost of MPI communications, distributed parallel HPC applicati...
International audienceTo amortize the cost of MPI communications, distributed parallel HPC applicati...
Modern MPI simulator frameworks assume the existence of a Computation-Communication Divide: thus, th...
Assuming network transfer is the dominant factor of communication, current communication models esti...
International audienceWith the growing number of cores and fast network like Infiniband, one of the ...
International audienceBy allowing computation/communication overlap, MPI nonblocking collectives (NB...
In High Performance Computing (HPC), minimizing communication overhead is one of the most important ...
In modern MPI applications, communication between separate computational nodes quickly add up to a s...
In this report we describe the conversion of a simple Master-Worker parallel program from global blo...
International audienceParallel runtime systems such as MPI or task-based libraries provide models to...
International audienceOverlapping communications with computation is an efficient way to amortize th...
We examine the mechanics of the send and receive mechanism of MPI and in particular how we can impl...
This talk discusses optimized collective algorithms and the benefits of leveraging independent hardw...
We examine the mechanics of the send and receive mechanism of MPI and in particular how we can imple...
The original publication can be found at www.springerlink.comThis paper gives an overview of two rel...
International audienceTo amortize the cost of MPI communications, distributed parallel HPC applicati...
International audienceTo amortize the cost of MPI communications, distributed parallel HPC applicati...