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Taking the MPI standard and the open MPI library to exascale
The Open MPI for Exascale (OMPI-X) project was one of two in the Exascale Computing Project (ECP) focused on advancing the MPI ecosystem. The OMPI-X team worked with other MPI Forum members to champion several important features for inclusion in the MPI 4.0, 4.1, and upcoming 5.0 MPI standard versions, in support of the needs of exascale applications and systems. The team also worked with the larger Open MPI community to bring implementations of these new features and other enhancements into Open MPI, one of the leading open-source implementations of the MPI interface. Here, this paper describes the motivation for the work of the OMPI-X project in the context of exascale computing needs, the nature of the resulting new capabilities in the MPI standard, and how they were implemented in the Open MPI library. Features include improved support for “MPI + X” programming models through partitioned communications and support for user-level threading, sessions, fault tolerance through the user-level fault mitigation (ULFM) and Reinit models, and other features. We also discuss enhancements to Open MPI providing improved performance and scalability for existing features, such as collective operations, one-sided operations, support for the Slingshot-11 interconnect of the initial exascale systems, and how the OMPI-X team worked to improve quality assurance for the Open MPI library, particularly on platforms of interest to the Department of Energy community.
Getting It Right with Open MPI: Best Practices for Deployment and Tuning of Open MPI
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OTM-MPI (Open Traffic Models - MPI)
This software is an extension to OTM (Open Traffic Models), which is an open-source traffic simulator maintained at the Institute of Transportation Studies at U.C. Berkeley. OTM-MPI provides functionality for running OTM simulations in distributed computing environments. Its functionality includes min-cut division of traffic networks (using METIS), deployment of sub-networks on multiple compute nodes, and inter-node MPI communications.
Open MPI for Cray XE/XK Systems
Open MPI provides an implementation of the MPI standard supporting communications over a range of high-performance network interfaces. Recently, ORNL and LANL have collaborated on creating a port of Open MPI for Gemini, the network interface for Cray XE and XK systems. In this paper, we present our design and implementation of Open MPI's point-to-point and collective operations for Gemini, and techniques we employ to provide good scaling, and performance characteristics.
Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI
The use of tuned collective's module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron is considered in this paper. The multilayer perceptron model and the usual sequential batch pattern training algorithm are theoretically described. An algorithmic description of a parallel version of the batch pattern training method is introduced. The obtained parallelization efficiency results using Open MPI tuned collective's module and MPICH2 are compared. Our results show that (i) Open MPI tuned collective's module outperforms MPICH2 implementation both on SMP computer and computational cluster and (ii) different internal algorithms of MPI_Allreduce() collective operation give better results on different scenarios and different parallel systems. Therefore the properties of the communication network and user application should be taken into account when a specific collective algorithm is used.
Bringing HPE Slingshot 11 support to Open MPI
The Cray HPE Slingshot 11 network is used on the new exascale systems arriving at the U.S. Department of Energy (DoE) laboratories (e.g., Frontier, Aurora, Perlmutter). As such, the support of this network is an important capability to meet the needs of exascale applications. Here, this article highlights recent work to develop supporting infrastructure to enable Open MPI to efficiently support these new platforms. A key component of this effort involves development of a new Open Fabrics Interface (OFI) provider, LinkX. We discuss the design and development of enhancements that take advantage of the new Slingshot 11 network and AMD GPUs. We include performance data from tests on the Frontier supercomputer using synthetic communication benchmarks, and the vendor provided MPI as a baseline for comparison. The tests demonstrate full functionality of Open MPI on the system and initial results show favorable performance when compared to the highly tuned vendor implementation.
Open MPI Testing Infrastructure Update - September, 2019
Since the last update on the Open MPI regression testing infrastructure, and the deployment of the MTT Python client on more DOE HPC centers, problems with the client and its interaction with the community PostGreSQL database server at AWS began to appear. In particular, problems were found with the reporting of failed and timed out tests to the community database.
Collective Framework and Performance Optimizations to Open MPI for Cray XT Platforms
The performance and scalability of collective operations plays a key role in the performance and scalability of many scientific applications. Within the Open MPI code base we have developed a general purpose hierarchical collective operations framework called Cheetah, and applied it at large scale on the Oak Ridge Leadership Computing Facility's Jaguar (OLCF) platform, obtaining better performance and scalability than the native MPI implementation. This paper discuss Cheetah's design and implementation, and optimizations to the framework for Cray XT 5 platforms. Our results show that the Cheetah's Broadcast and Barrier perform better than the native MPI implementation. For medium data, the Cheetah's Broadcast outperforms the native MPI implementation by 93% for 49,152 processes problem size. For small and large data, it out performs the native MPI implementation by 10% and 9%, respectively, at 24,576 processes problem size. The Cheetah's Barrier performs 10% better than the native MPI implementation for 12,288 processes problem size.
MTT/Gitlab CI ongoing Open MPI testing - Focus on GPU/OFI and OpenPMIx (Quadchart for ECP OMPI-X milestone STPR17-80)
Further work for this milestone confirmed that using ECP Gitlab CI does not work with PR based work flow used by the Open MPI.
MPI-RMA: State of the Art in Open MPI
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Notes on Open MPI and UCX
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Open MPI for HPSF
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MTT/Gitlab CI Open MPI and PMIx/PRRTe testing [Slides]
Abstract not provided.
Preliminary design for Intel Level Zero (L0) component for Open MPI Accelerator framework: ECP STPR17-129 Highlight Quadchart
Abstract not provided.
Implement Intel Level Zero (ZE) component for Open MPI Accelerator framework [Poster]
Abstract not provided.