Mississippi State University, together with Argonne National Laboratory, developed the most widely used implementation of MPI called MPICH. MPICH emphasizes a Unix environment. This paper describes the prototype MPICH/NT, the MSU port of MPICH to Windows NT, which concerns support of both the SMP and cluster communication models. In addition, issues concerning the FORTRAN interface, performance, and scalability of the implementations are given. By way of contrast, the newer MPI/Pro(tm) Windows NT MPI (developed by MPI Software Technology, Inc.) is described as a second-generation effort that benefited from the learning experiences of MPICH/NT. Opportunities for enhancing performance and robustness, addressing FORTRAN interoperability, and improving the architecture to use with new technologies such as a VIA are mentioned. Both of these implementations are compared and contrasted to other simple ports of MPI to NT, particularly those done by the Portugal and UIUC groups, also based on M...

In this paper we evaluate the MPI environments currently available for Windows NT on the Intel IA32 and Compaq/DEC Alpha architectures. We present benchmark results for low-level communication and for the NAS Parallel Benchmarks to allow comparison to other systems, but our primary interest is determining real application performance and robustness in production cluster environments. For this we use PAFEC-FE, a large FORTRAN code for finite-element analysis. We present results from three MPI implementations, two architectures, and three networking technologies (10 Mbit/s and 100 Mbit/s Ethernet and 1 Gbit/s Myrinet).

The goal of a parallel program is to reduce the execution time, compared to the fastest sequential program solving the same problem. Parallel programming is growing due to the widespread use of network of workstations (NOWs) or powerful PCs in high-performance computing. Because the hardware components are all commodity devices, NOWs are much more cost-effective than custom machines with similar technology. In this environment, the typical programming model used has been message-passing and the MPI library has become the standard in the distributed-memory computing model. On the other hand, visual programming environments try to simply the task of developing applications. They provide programmers with several standard components for creating programs. Delphi constitutes one of the most popular visual programming environments nowadays in the Windows market place. In this paper, we present MPI--Delphi, an implementation of MPI for writing parallel applications using Delphi visual programming environment. We show how MPI--Delphi has been developed, and how it makes possible to manage a cluster of homogeneous/heterogeneous PCs. Two examples of use of MPI--Delphi in a heterogeneous cluster of workstations with a mixture of Windows and Linux operating systems are also included. The MPI--Delphi interface is suitable for some specific kinds of problems, such as monitoring parallel programs of long execution time, or computationally intensive graphical simulations. In addition, MPI--Delphi has proven to be a good tool for research, as the development of new algorithms can be carried out quickly and, therefore, time spent on the debugging of such algorithms is reduced. Finally, we conclude by explaining some of the tasks we think MPI--Delphi is suitable for. 2002 Elsevier Science...

In this paper we evaluate the MPI environments currently available for Windows NT on the Intel IA32 and Compaq/DEC Alpha architectures. We present benchmark results for low-level communication and for the NAS Parallel Benchmarks to allow comparison to other systems, but our primary interest is determining real application performance and robustness in production cluster environments. For this we use PAFEC-FE, a large FORTRAN code for finite-element analysis. We present results from three MPI implementations, two architectures, and three networking technologies (10 Mbit/s and 100 Mbit/s Ethernet and 1 Gbit/s Myrinet).* Keywords: Clusters, MPI, Windows NT 1

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