Paper Info
Title
Towards Enhancing OpenMP Expressiveness and Performance
Abstract
Since its introduction in 1997, OpenMP has become the de facto standard for shared memory parallel programming. The notable advantages of the model are its global view of memory space that simplifies programming development and its incremental approach toward parallelization. However, it is very challenge to scale OpenMP codes to tens or hundreds of processors. This problem becomes even more profound with the recent introduction of multi-core, multi-chip architectures. Several extensions have been introduced to enhance OpenMP expressiveness and performance, including thread subteams and workqueuing. In this talk, we describe applications that expose the limitation of the current OpenMP and examine the impact of these extensions on application performance. We focus on exploiting multi-level parallelism and dealing with unbalanced workload in applications with these extensions and compare with other programming approaches, such as hybrid. Our experience has demonstrated the importance of the new language features for OpenMP applications to scale well on large shared memory parallel systems.
Year
DOI
Venue
2007
10.1007/978-3-540-75444-2_2
HPCC
Keywords
Field
DocType
programming approach,openmp application,large shared memory parallel,shared memory parallel programming,towards enhancing openmp expressiveness,simplifies programming development,openmp code,current openmp,openmp expressiveness,application performance,memory space,parallel systems,chip,shared memory
De facto standard,Computer architecture,Shared memory,Computer science,Workload,Parallel computing,Thread (computing),Constructed language,Distributed computing,Expressivity
Conference
ISBN
Citations 
PageRank 
3-540-75443-1
0
0.34
References 
Authors
1
1
Name
Order
Citations
PageRank
Haoqiang Jin128431.77