Parallel applications commonly face the problem of sitting idle while waiting for remote data to become available. Even for problems where plenty of parallelism is available and good load balance is achievable, performance may be disappointing if local work cannot be overlapped with communication. We describe three patterns for achieving the overlap of communication with computation: overdecomposition, non-blocking communication, and speculation.
Overlapping communication with computation is a well-known technique to increase application perform...
International audienceBy allowing computation/communication overlap, MPI nonblocking collectives (NB...
We present a new design pattern for high-performance parallel scientific software, named coalesced c...
Parallel applications commonly face the problem of sitting idle while waiting for remote data to bec...
Conventional wisdom suggests that the most efficient use of modern computing clusters employs techni...
The computational speed of individual processors in distributed memory computers is increasing faste...
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...
Hiding communication latency is an important optimization for parallel programs. Programmers or com...
International audienceWith the growing number of cores and fast network like Infiniband, one of the ...
Effective overlap of computation and communication is a well understood technique for latency hiding...
International audienceParallel runtime systems such as MPI or task-based libraries provide models to...
This paper describes a number of optimizations that can be used to support the efficient execution o...
The transition to multi-core architectures can be attributed mainly to fundamental limitations in cl...
The proliferation of the distributed computing is due to the improved performance and increased reli...
Overlapping communication with computation is a well-known technique to increase application perform...
International audienceBy allowing computation/communication overlap, MPI nonblocking collectives (NB...
We present a new design pattern for high-performance parallel scientific software, named coalesced c...
Parallel applications commonly face the problem of sitting idle while waiting for remote data to bec...
Conventional wisdom suggests that the most efficient use of modern computing clusters employs techni...
The computational speed of individual processors in distributed memory computers is increasing faste...
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...
Hiding communication latency is an important optimization for parallel programs. Programmers or com...
International audienceWith the growing number of cores and fast network like Infiniband, one of the ...
Effective overlap of computation and communication is a well understood technique for latency hiding...
International audienceParallel runtime systems such as MPI or task-based libraries provide models to...
This paper describes a number of optimizations that can be used to support the efficient execution o...
The transition to multi-core architectures can be attributed mainly to fundamental limitations in cl...
The proliferation of the distributed computing is due to the improved performance and increased reli...
Overlapping communication with computation is a well-known technique to increase application perform...
International audienceBy allowing computation/communication overlap, MPI nonblocking collectives (NB...
We present a new design pattern for high-performance parallel scientific software, named coalesced c...