Titlebook: Recent Advances in the Message Passing Interface; 17th European MPI Us Rainer Keller,Edgar Gabriel,Jack Dongarra Conference proceedings 201

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PMI: A Scalable Parallel Process-Management Interface for Extreme-Scale Systemsam. The process-management system must be able to launch millions of processes quickly when starting a parallel program and must provide mechanisms for the processes to exchange the information needed to enable them communicate with each other. MPICH2 and its derivatives achieve this functionality t

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Run-Time Analysis and Instrumentation for Communication Overlap Potentialimizations come with overhead, meaning no automatic optimization can reach the performance level of hand-optimized code.In this paper, we present a method for using previously published runtime optimizers to instrument a program, including measured speedup gains and overhead.The results are connecte

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Efficient MPI Support for Advanced Hybrid Programming Modelscations can receive messages of unknown size. As is well known, combining . is not thread-safe, but many assume that trivial workarounds exist. We discuss those workarounds and show how they fail in practice by either limiting the available parallelism unnecessarily, consuming resources in a non-sca

DOSE

orthopedist

Automated Tracing of I/O Stackerformance I/O intensive applications access multiple layers of the storage stack during their disk operations. A typical I/O request from these applications may include accesses to high-level libraries such as MPI I/O, executing on clustered parallel file systems like PVFS2, which are in turn suppo

corpuscle

MPI Datatype Marshalling: A Case Study in Datatype Equivalenceiptions need to be preserved on disk or communicated between processes, such as when defining RMA windows. We propose an extension to MPI that enables marshalling and unmarshalling MPI datatypes in the spirit of .. Issues in MPI datatype equivalence are discussed in detail and an implementation of t

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Design of Kernel-Level Asynchronous Collective Communicationmance of parallel programs. Since the current non-blocking collective communications have been mostly implemented using an extra thread to progress communication, they have extra overhead due to thread scheduling and context switching. In this paper, a new non- blocking communication facility, calle

scrutiny

Network Offloaded Hierarchical Collectives Using ConnectX-2’s CORE-, Capabilities need to move communication management away from the Central Processing Unit (CPU) becomes even greater. Moving this management to the network, frees up CPU cycles for computation, making it possible to overlap computation and communication. In this paper we continue to investigate how to best use t

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