ListarGI-GAC - Artigos por tema "Message Passing in Java (MPJ)"
Mostrando ítems 1-6 de 6
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Design of efficient Java message-passing collectives on multi-core clusters
(Springer New York LLC, 2011-02)[Abstract] This paper presents a scalable and efficient Message-Passing in Java (MPJ) collective communication library for parallel computing on multi-core architectures. The continuous increase in the number of cores per ... -
Design of Scalable Java Communication Middleware for Multi-Core Systems
(Oxford University Press, 2013-02-01)[Abstract] This paper presents smdev, a shared memory communication middleware for multi-core systems. smdev provides a simple and powerful messaging application program interface that is able to exploit the underlying ... -
Device level communication libraries for high‐performance computing in Java
(John Wiley & Sons Ltd., 2011-12-25)[Abstract] Since its release, the Java programming language has attracted considerable attention from the high‐performance computing (HPC) community because of its portability, high programming productivity, and built‐in ... -
FastMPJ: a scalable and efficient Java message-passing library
(Springer New York LLC, 2014)[Abstract] The performance and scalability of communications are key for high performance computing (HPC) applications in the current multi-core era. Despite the significant benefits (e.g., productivity, portability, ... -
Low‐latency Java communication devices on RDMA‐enabled networks
(John Wiley & Sons Ltd., 2015)[Abstract] Providing high‐performance inter‐node communication is a key capability for running high performance computing applications efficiently on parallel architectures. In fact, current systems deployments are aggregating ... -
Nonblocking collectives for scalable Java communications
(John Wiley & Sons Ltd., 2015-04-22)[Abstract] This paper presents a Java implementation of the recently published MPI 3.0 nonblocking message passing collectives in order to analyze and assess the feasibility of taking advantage of these operations in shared ...