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 Reviewe
Significant progress has been made in the development of programming languages and tools that are su...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
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 work presents a heterogeneous communication library for generic clusters of processors and FPGA...
Applications that exhibit irregular, dynamic, and unbalanced parallelism are grow-ing in number and ...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
This paper describes a technique for improving the data ref-erence locality of parallel programs usi...
We are presenting THeGASNet, a framework to provide remote memory communication and synchronization ...
Partitioned Global Address Space (PGAS) languages offer programmers the convenience of a shared memo...
Partitioned Global Address Space (PGAS) languages promise to deliver improved programmer productivi...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
The recent emergence of large-scale knowledge discovery, data mining and social network analysis, ir...
Significant progress has been made in the development of programming languages and tools that are su...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
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 work presents a heterogeneous communication library for generic clusters of processors and FPGA...
Applications that exhibit irregular, dynamic, and unbalanced parallelism are grow-ing in number and ...
The Partitioned Global Address Space (PGAS) model is a parallel programming model that aims to im-pr...
This paper describes a technique for improving the data ref-erence locality of parallel programs usi...
We are presenting THeGASNet, a framework to provide remote memory communication and synchronization ...
Partitioned Global Address Space (PGAS) languages offer programmers the convenience of a shared memo...
Partitioned Global Address Space (PGAS) languages promise to deliver improved programmer productivi...
Partitioned global address space (PGAS) is a parallel programming model for the development of high-...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...
The recent emergence of large-scale knowledge discovery, data mining and social network analysis, ir...
Significant progress has been made in the development of programming languages and tools that are su...
Technology trends suggest that future machines will rely on parallelism to meet increasing performan...
The Message Passing Interface (MPI) is the library-based programming model employed by most scalable...