An extensible global address space framework with decoupled task and data abstractions

ions Sriram Krishnamoorthy½ Umit Catalyurek¾ Jarek Nieplocha¿ Atanas Rountev½ P. Sadayappan½ ½ Dept. of Computer Science and Engineering, ¾ Dept. of Biomedical Informatics The Ohio State University ¿ Pacific Northwest National Laboratory Although message passing using MPI is the dominant model for parallel programming today, the significant effort required to develop high-performance MPI applications has prompted the development of several parallel programming models that are more convenient. Programming models such as Co-Array Fortran, Global Arrays, Titanium, and UPC provide a more convenient global view of the data, but face significant challenges in delivering high performance over a range of applications. It is particularly challenging to achieve high performance using global-addressspace languages for unstructured applications with irregular data structures. In this paper, we describe a global-address-space parallel programming framework with decoupled task and data i...

• Type: Conference
• Year: 2006
• Where: IPPS
• Authors: Sriram Krishnamoorthy, Ümit V. Çatalyürek, Jarek Nieplocha, Atanas Rountev, P. Sadayappan
• Keywords: Data Chunks, Distributed And Parallel Computing, IPPS 2006, Parallel Programming, Programming Models