MPI for Python (mpi4py) has evolved to become the most used binding message passing interface (MPI). We report on various improvements and features that mpi4py gradually accumulated over past decade, including support up MPI-3.1 specification, CUDA-aware implementations, other utilities at intersection of MPI-based parallel distributed computing application development.

discussion the reason is that we assess the relative and not absolute differences of the tracer uptake in this imaging modality. there may be other findings on mpi images which could help us overcome this pitfall, including detecting wall motion abnormalities, lung uptake of the tracer, or transient ischemic dilation. another important issue is the ecg changes during exercise stress testing, wh...

This paper presents a comparison of two implementations of the MPI standard [1] for message passing: MPI/Pro, a commercial implementation of the MPI standard from MPI Software Technology, Inc., and MPICH, an open source, high-performance, portable MPI implementation. This paper reviews key distinguishing architectural features of the two MPI implementations and presents comparative performance ...

MPI implementations that support the highest level of thread safety for user programs, MPI THREAD MULTIPLE, are becoming widely available. Users often expect that different threads can execute independently and that the MPI implementation can provide the necessary level of thread safety with only a small overhead. The MPI Standard, however, requires only that no MPI call in one thread block MPI...

Malmquist Productivity Index (MPI) is a numeric index that is of great importance in measuring productivity and its changes. In recent years, tools like DEA have been utilized for determining MPI. In the present paper, some models are recommended for calculating MPI when there are just ratio data available. Then, using DEA and DEA-R, some models are proposed under the constant returns to scale ...