Add to ORKGIn this poster we introduce GMT (Global Memory and Threading library), a custom runtime library that enables efficient execution of irregular applications on commodity clusters. GMT only requires a cluster with x86 nodes supporting MPI. GMT integrates the Partititioned Global Address Space (PGAS) locality-aware global data model with a fork/join control model common in single node multithreaded environments. GMT supports lightweight software multithreading to tolerate latencies for accessing data on remote nodes, and is built around data aggregation to maximize network bandwidth utilization.Peer ReviewedPostprint (author's final draft
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
In this poster we introduce GMT (Global Memory and Threading library), a custom runtime library that...
Emerging applications in areas such as bioinformatics, data analytics, semantic databases and knowle...
This paper describes a technique for improving the data ref-erence locality of parallel programs usi...
Applications that exhibit irregular, dynamic, and unbalanced parallelism are grow-ing in number and ...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
We are presenting THeGASNet, a framework to provide remote memory communication and synchronization ...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
Partitioned Global Address Space (PGAS) languages promise to deliver improved programmer productivi...
The implementation of scalable synchronized data structures is notoriously difficult. Recent work in...
The recent emergence of large-scale knowledge discovery, data mining and social network analysis, ir...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
In this poster we introduce GMT (Global Memory and Threading library), a custom runtime library that...
Emerging applications in areas such as bioinformatics, data analytics, semantic databases and knowle...
This paper describes a technique for improving the data ref-erence locality of parallel programs usi...
Applications that exhibit irregular, dynamic, and unbalanced parallelism are grow-ing in number and ...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
International audienceThe Partitioned Global Address Space (PGAS) model is a parallel programming mo...
We are presenting THeGASNet, a framework to provide remote memory communication and synchronization ...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
Partitioned Global Address Space (PGAS) languages promise to deliver improved programmer productivi...
The implementation of scalable synchronized data structures is notoriously difficult. Recent work in...
The recent emergence of large-scale knowledge discovery, data mining and social network analysis, ir...
In the realm of High Performance Computing (HPC), message passing has been the programming paradigm ...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...