Add to ORKGAbstract. This paper presents a source-to-source translation strategy from OpenMP to Global Arrays in order to extend OpenMP to distributed memory systems. This translation provides a simple approach for programmers to write parallel programs using a high-level API that will run on both shared memory and distributed memory systems. Our benchmark experiments show scalability and lead us to believe that this approach is more promising than the use of soft-ware DSM systems.
The fast emergence of OpenMP as the preferable parallel programming paradigm for small-to-medium sca...
In this paper, we present the first system that implements OpenMP on a network of shared-memory mult...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...
This paper discusses a strategy for implementing OpenMP on distributed memory systems that relies on...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
OpenMP has emerged as an important model and language extension for shared-memory parallel programmi...
We present the first fully automated compiler-runtime system that successfully translates and execut...
OpenMP has emerged as the de facto standard for writing parallel programs on shared address space pl...
OpenMP is attracting wide-spread interest because of its easy-to-use parallel programming model for ...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
The OpenMP Application Programming Interface (API) is an emerging standard for parallel programming ...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18...
This paper presents a new parallel programming environment called ParADE to enable easy, portable, a...
The fast emergence of OpenMP as the preferable parallel programming paradigm for small-to-medium sca...
In this paper, we present the first system that implements OpenMP on a network of shared-memory mult...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...
This paper discusses a strategy for implementing OpenMP on distributed memory systems that relies on...
Abstract. The shared memory paradigm provides many benefits to the parallel programmer, particular w...
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
OpenMP has emerged as an important model and language extension for shared-memory parallel programmi...
We present the first fully automated compiler-runtime system that successfully translates and execut...
OpenMP has emerged as the de facto standard for writing parallel programs on shared address space pl...
OpenMP is attracting wide-spread interest because of its easy-to-use parallel programming model for ...
Nowadays clusters are one of the most used platforms in High Performance Computing and most programm...
The OpenMP Application Programming Interface (API) is an emerging standard for parallel programming ...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/18...
This paper presents a new parallel programming environment called ParADE to enable easy, portable, a...
The fast emergence of OpenMP as the preferable parallel programming paradigm for small-to-medium sca...
In this paper, we present the first system that implements OpenMP on a network of shared-memory mult...
The most widely used node type in high-performance computing nowadays is a 2-socket server node. The...