The MVAPICH team members will participate in multiple events at SC'19!!
The OSU booth (2094) will feature leading speakers from academia and industry!!
Click here for more information!!
The number of organizations using MVAPICH2 libraries has crossed 3,025 in 89 countries!! The MVAPICH team would like to express thanks to all these organizations and their users!!
7th Annual MVAPICH User Group (MUG) Meeting took place on August 19-21, 2019 in Columbus, Ohio, USA. Click here for details.
MVAPICH Delivers Sub-minute (22 sec) Job Startup for 229,376 processes!! (Details)
Welcome to the home page of the MVAPICH project, led by Network-Based Computing Laboratory (NBCL) of The Ohio State University. The MVAPICH2 software, based on MPI 3.1 standard, delivers the best performance, scalability and fault tolerance for high-end computing systems and servers using InfiniBand, Omni-Path, Ethernet/iWARP, and RoCE networking technologies. This software is being used by more than 3,050 organizations in 89 countries worldwide to extract the potential of these emerging networking technologies for modern systems. As of Nov '19, more than 615,000 downloads have taken place from this project's site. This software is also being distributed by many vendors as part of their software distributions.
The MVAPICH2 software family is ABI compatible with the version of MPICH it is based on. Please refer to our download page for more details.
The MVAPICH2 software is powering several supercomputers in the TOP500 list. Examples (from the June'19 ranking) include:
- 3rd, 10,649,600-core (Sunway TaihuLight) at National Supercomputing Center in Wuxi, China
- 5th, 448, 448 cores (Frontera) at TACC
- 8th, 391,680 cores (ABCI) in Japan
- 15th, 570,020 cores (Neurion) in South Korea
- 16th, 556,104 cores (Oakforest-PACS) in Japan
- 19th, 367,024 cores (Stampede2) at TACC
- 31st, 241,108-core (Pleiades) at NASA
- 81st, 76,032-core (Tsubame 2.5) at Tokyo Institute of Technology
The MVAPICH group provides several software libraries as listed below.
High-Performance Parallel Programming Libraries
|MVAPICH2||Support for InfiniBand, Omni-Path, Ethernet/iWARP, and RoCE|
|MVAPICH2-Azure||Optimized Support for Microsoft Azure Platform with InfiniBand|
|MVAPICH2-X||Advanced MPI features/support (UMR, ODP, DC, Core-Direct, SHArP, XPMEM), OSU INAM (InifniBand Network Monitoring and Analysis), PGAS (OpenSHMEM, UPC, UPC++, and CAF), and MPI+PGAS programming models with unified communication runtime|
|MVAPICH2-X-AWS||Advanced MPI features (SRD and XPMEM) with support for Amazon Elastic Fabric Adapter (EFA)|
|MVAPICH2-GDR||Optimized MPI for clusters with NVIDIA GPUs and for GPU-enabled Deep Learning Applications|
|MVAPICH2-Virt||Hypervisor and container based (Docker and Singularity) HPC cloud with MPI & IB (SR-IOV)|
|MVAPICH2-EA||Energy aware and High-performance MPI|
|OMB||Microbenchmarks suite to evaluate MPI and PGAS (OpenSHMEM, UPC, and UPC++) libraries for CPUs and GPUs|
|OSU INAM||Network monitoring, profiling, and analysis for clusters with MPI and scheduler integration|
|OEMT||Utility to measure the energy consumption of MPI applications|
This project is supported by funding from U.S. National Science Foundation, U.S. DOE Office of Science, U.S. Department of Defense, Ohio Board of Regents, Ohio Department of Development, Cisco Systems, Cray, Intel, Linux Networx, Mellanox, Microsoft, NVIDIA, Pattern Computer, QLogic, and Sun Microsystems; and equipment donations from Advanced Clustering, AMD, Appro, Chelsio, Dell, Fulcrum, Fujitsu, Intel, Mellanox, Microway, NetEffect, Pattern Computer, QLogic and Sun. Other technology partner includes: TotalView.
MVAPICH2-Azure 2.3.2 based on MVAPICH2 2.3.2, enhanced tuning for point-to-point and collective operations, targeted for Azure HB & HC virtual machine instances with InfiniBand, and flexibility for `one-click' deployment is available.
MVAPICH2-X-AWS 2.3 based on MVAPICH2-X 2.3, support for Amazon EFA adapter's Scalable Reliable Datagram (SRD) transport protocol, support for XPMEM based intra-node communication for point-to-point and collectives, enhanced tuning for point-to-point and collective operations and targeted for AWS instances with Amazon Linux 2 AMI and EFA support is available.
MVAPICH2 2.3.2 based on MPICH v3.2.1, improved performance for inter-node and intra-node communication, improved performance for collectives (gather, reduce and allreduce) with cyclic host files, support for HDR, Cascade Lake, Azure platform, and AMD EPYC Rome, support for new NUMA-aware hybrid binding policy, improved multi-rail selection logic, enhanced heterogeneity detection logic, multiple PVARs and CVARs for point-to-point and collective operations, performance optimization and tuning on various major systems, and multiple bug-fixes. [more]
MVAPICH2-GDR 2.3.2 GA (based on MVAPICH2 2.3.1 GA) with support for enhanced intra-node and inter-node point-to-point performance, enhanced MPI_Allreduce performance for DGX-2, enhanced GPU communication support in MPI_THREAD_MULTIPLE mode, enhanced performance of datatype support for GPU-resident data (Zero-copy transfer when P2P access is available between GPUs through NVLink/PCIe), enhanced GPU-based point-to point and collective tuning on multiple systems (Summit@ORNL and Sierra/ Lassen@LLNL, ABCI system@AIST, Owens and Pitzer systems @OSC), and scaled Allreduce to 24,576 Volta GPUs on Summit [more]
OMB 5.6.2 with support for GPU-Aware multi-threaded point-to-point operations (osu_latency_mt) and multiple bug fixes is available. [more]
The MVAPICH team is now on Twitter! Follow us for up to date information on our events and tutorials! #MVAPICH.
MVAPICH2-X 2.3rc2 with support for advanced co-operative (COOP) rendezvous protocols for improved performance of large message communication; RGET, RPUT, and COOP protocols for CMA and XPMEM; load balanced and dynamic rendezvous protocol selection; XPMEM-based MPI collective operations (Broadcast, Gather, Scatter, and Allgather); extend XPMEM-based MPI collective operations (Reduce and All-Reduce for PSM-CH3 and PSM2-CH3 interfaces, improved connection establishment for DC transport, improved Alltoallv algorithm for small messages, hybrid MPI+OpenSHMEM; optimized support for ARM, OpenPOWER and Intel platforms, and support for INAM 0.9.4 is available. [more]
OSU InfiniBand Network Analysis and Monitoring (INAM) Tool 0.9.4 with support to enhance fabric discovery using optimized OpenMP-based multi-threaded designs, ability to gather InfiniBand performance counters at sub-second granularity for very large clusters, redesigned database layout to reduce database size, OpenMP-based multi-threaded designs to handle database purge, read, and insert operations simultaneously, and features in conjunction with MVAPICH2-X 2.3rc1 is available. [more]