Results 161 to 170 of about 85,947 (206)
Some of the next articles are maybe not open access.
MPI-Mitten: Enabling Migration Technology in MPI
Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006Group communications are commonly used in parallel and distributed environment. However, existing migration mechanisms do not support group communications. This weakness prevents migrationbased proactive fault tolerance, among others, to be applied to MPI applications.
Cong Du, Xian-He Sun
openaire +2 more sources
The Network Agnostic MPI – Scali MPI Connect
2003This paper presents features and performance of Scali MPI Connect (SMC). Key features in SMC are presented, such as dynamic selection of interconnect at runtime, automatic fail-over and runtime selection of optimized collective operations. Performance is measured both for basic communication functions such as bandwidth and latency and for real ...
Lars Paul Huse, Ole W. Saastad
openaire +2 more sources
MPI to Go: Container Clusters for MPI Applications
2020Container-based virtualization has been investigated as an attractive solution to achieve isolation, flexibility and efficiency in a wide range of computational applications. In High Performance Computing, many applications rely on clusters to run multiple communicating processes using MPI (Message Passing Interface) communication protocol.
Luiz Angelo Steffenel +4 more
openaire +2 more sources
Proceedings of the 1999 ACM/IEEE conference on Supercomputing, 1999
Java is receiving increasing attention as the most popular platform for distributed and collaborative computing. However, it is still subject to significant performance drawbacks in comparison to other programming languages such as C and Fortran.
Vladimir Getov +2 more
openaire +1 more source
Java is receiving increasing attention as the most popular platform for distributed and collaborative computing. However, it is still subject to significant performance drawbacks in comparison to other programming languages such as C and Fortran.
Vladimir Getov +2 more
openaire +1 more source
Open MPI: A Flexible High Performance MPI
2006A large number of MPI implementations are currently available, each of which emphasize different aspects of high-performance computing or are intended to solve a specific research problem. The result is a myriad of incompatible MPI implementations, all of which require separate installation, and the combination of which present significant logistical ...
Richard L. Graham +2 more
openaire +2 more sources
MRI Meets MPI: A Bimodal MPI-MRI Tomograph
IEEE Transactions on Medical Imaging, 2014While magnetic particle imaging (MPI) constitutes a novel biomedical imaging technique for tracking superparamagnetic nanoparticles in vivo, unlike magnetic resonance imaging (MRI), it cannot provide anatomical background information. Until now these two modalities have been performed in separate scanners and image co-registration has been hampered by ...
Patrick Vogel +6 more
openaire +2 more sources
Proceedings of the 2003 ACM/IEEE conference on Supercomputing, 2003
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participating nodes are not dedicated to a parallel application. We are investigating the data distribution problem in non dedicated environments in the context of explicit message ...
D. Brent Weatherly +3 more
openaire +2 more sources
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participating nodes are not dedicated to a parallel application. We are investigating the data distribution problem in non dedicated environments in the context of explicit message ...
D. Brent Weatherly +3 more
openaire +2 more sources
Proceedings of the 28th ACM international conference on Supercomputing, 2014
Many-core architectures, such as the Intel Xeon Phi, provide dozens of cores and hundreds of hardware threads. To utilize such architectures, application programmers are increasingly looking at hybrid programming models, where multiple threads interact with the MPI library (frequently called "MPI+X" models).
Min Si +4 more
openaire +2 more sources
Many-core architectures, such as the Intel Xeon Phi, provide dozens of cores and hundreds of hardware threads. To utilize such architectures, application programmers are increasingly looking at hybrid programming models, where multiple threads interact with the MPI library (frequently called "MPI+X" models).
Min Si +4 more
openaire +2 more sources
Parallel Processing Letters, 2011
Petascale parallel computers with more than a million processing cores are expected to be available in a couple of years. Although MPI is the dominant programming interface today for large-scale systems that at the highest end already have close to 300,000 processors, a challenging question to both researchers and users is whether MPI will scale to ...
Pavan Balaji +8 more
openaire +1 more source
Petascale parallel computers with more than a million processing cores are expected to be available in a couple of years. Although MPI is the dominant programming interface today for large-scale systems that at the highest end already have close to 300,000 processors, a challenging question to both researchers and users is whether MPI will scale to ...
Pavan Balaji +8 more
openaire +1 more source
2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID), 2008
Institutional grids consist of the aggregation of clusters belonging to different administrative domains to build a single parallel machine. To run an MPI application over an institutional grid, one has to address many challenges. One of the first problems to solve is the connectivity of the different nodes not belonging to the same administrative ...
Coti, Camille +4 more
openaire +2 more sources
Institutional grids consist of the aggregation of clusters belonging to different administrative domains to build a single parallel machine. To run an MPI application over an institutional grid, one has to address many challenges. One of the first problems to solve is the connectivity of the different nodes not belonging to the same administrative ...
Coti, Camille +4 more
openaire +2 more sources