Title
Parallel programming inPanda
Abstract
Distributed systems are an alternative to shared-memory multiprocessors for the execution of parallel applications.Panda is a run-time system that provides architectural support for efficient parallel and distributed programming. It supplies fast user-level threads and a means for transparent and coordinated sharing of objects across a homogeneous network. The paper motivates the major architectural choices that guided our design. The problem of sharing data in a distributed environment is discussed, and the performance of the mechanisms provided by thePanda prototype implementation is assessed.
Year
DOI
Venue
1995
10.1007/BF01245398
The Journal of Supercomputing
Keywords
DocType
Volume
Distributed systems,parallel programming,distributed shared memory,object mobility,user-level threads
Journal
9
Issue
ISSN
Citations 
1
0920-8542
0
PageRank 
References 
Authors
0.34
14
6
Name
Order
Citations
PageRank
H. Assenmacher1152.11
T. Breitbach2152.11
P. Buhler300.34
V. Hübsch430.76
H. Peine530.76
R. Schwarz653.27