Scalable UD-multicast-based designs for collectives Support for InfiniBand hardware UD-multicast Allows for parallel builds ("make -j8" and similar) Renamed "maint/updatefiles" to "autogen.sh"
#Berkeley upc memput registration#
(**) Adaptive number of registration cache entries based on job size (**) Support for Mellanox Connect-IB HCA
(**) Tuned alltoall, Scatter and Allreduce collectives (**) Efficient vector, hindexed datatype processing on GPU buffers Support for "Const" (disabled by default) MPIX_Improbe, MPIX_Mrecv, and MPIX_Imrecv), Support for matched probe functionality (e.g., MPIX_Mprobe, (will only work for single-threaded programs) Non-blocking communicator duplication routine MPIX_Comm_idup Support for MPIX_Type_create_hindexed_block MPI_Comm_split_type function available as an "MPIX_" function Neighborhood collective routines available as "MPIX_" functions Non-blocking collective functions available as "MPIX_" functions OFA-RoCE-CH3, uDAPL-CH3, OFA-IB-Nemesis and PSM-CH3) (Available for all interfaces: OFA-IB-CH3, OFA-iWARP-CH3, * New Features and Enhancements (since 1.8.1). MVAPICH2-X 1.9a2 (Hybrid MPI+PGAS (UPC and OpenSHMEM) with UnifiedĬommunication Runtime) and OSU Micro-Benchmarks (OMB) 3.8.įeatures, Enhancements, and Bug Fixes for MVAPICH2 1.9a2 (since The MVAPICH team is pleased to announce the release of MVAPICH2 1.9a2,
MVAPICH2-X 1.9a2 and OSU Micro-Benchmarks (OMB) 3.8 Subject: Announcing the Release of MVAPICH2 1.9a2, These releases might be of interest to some of the MPICH users. Next message: setting manually eager to rendezvous.Previous message: Bug in mpiexec -configfile.Announcing the Release of MVAPICH2 1.9a2, MVAPICH2-X 1.9a2 and OSU Micro-Benchmarks (OMB) 3.8 (fwd) Dhabaleswar Panda panda at As opposed to other studies describing NPB performance using UPC, the focus here is to analyze the programming e Âort required to achieve high performance, i.e., on par with an MPI implementation, while using this model.Announcing the Release of MVAPICH2 1.9a2, MVAPICH2-X 1.9a2 and OSU Micro-Benchmarks (OMB) 3.8 (fwd) on Intel Itanium2 processors and two distributed-memory systems based on Intel Xeon and AMD Opteron processors, respectively. This study points out the potential of UPC and some issues in achieving high performance when using the language. We compare runs of multiple versions of each benchmark encoded in UPC on both shared-memory and cluster-based parallel systems. The work focuses on the performance implications of programming choices made for data a Ânity and data access. Section 2 describes the Âve versions of the UPC implementation of theĪ Practical Study of UPC Using the NAS Parallel Benchmarks Haoqiang Jin NAS Division NASA Ames Research Center Moffett Field, CA 94035-1000 Robert Hood Computer Sciences Corporation, NAS Division NASA Ames Research Center Moffett Field, CA 94035-1000 Piyush Mehrotra NAS Division NASA Ames Research Center Moffett Field, CA 94035-1000 ABSTRACT We describe a performance study of the UPC PGAS model applied to three application benchmarks from the NAS Parallel Benchmark suite. As opposed to other studies describing NPB performance using UPC, the focus here is to analyze the programming e Âort required to achieve high performance, i.e., on par with an MPI implementation, while using this model. Jin, Haoqiang Hood, Robert Mehrotra, PiyushĪ Practical Study of UPC Using the NAS Parallel Benchmarks Haoqiang Jin NAS Division NASA Ames Research Center Moffett Field, CA 94035-1000 Robert Hood Computer Sciences Corporation, NAS Division NASA Ames Research Center Moffett Field, CA 94035-1000 Piyush Mehrotra NAS Division NASA Ames Research Center Moffett Field, CA 94035-1000 ABSTRACT We describe a performance study of the UPC PGAS model applied to three application benchmarks from the NAS Parallel Benchmark suite. A practical study of UPC using the NAS Parallel Benchmarks A practical study of UPC using the NAS Parallel Benchmarks
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