Title
Architectural software support for processing clusters
Abstract
Mainstream computing equipment and the advent of affordable multi-Gigabit communication technology permit us to address grand-challenge data acquisition and processing problems with clusters of inexpensive computers. Such networks typically incorporate heterogeneous equipment, real-time partitions and even custom devices. Vital overall system requirements are high efficiency and flexibility. In preceding projects we experienced the difficulties to cover both requirements at once. Intelligent I/O (I2O) is an industry specification that defines a uniform messaging format and execution environment for hardware- and operating system independent device drivers in computing systems with processor based communication equipment. Mapping this concept to a distributed computing environment and encapsulating the details of the specification into an application-programming framework allow us to provide architectural support for (i) efficient and (ii) extensible cluster operation. This paper portrays our view of applying I2O to high-performance clusters. We demonstrate the feasibility of this approach by giving efficiency measurements of our XDAQ software framework for distributed data acquisition systems.
Year
DOI
Venue
2000
10.1109/CLUSTR.2000.889026
Chemnitz
Keywords
Field
DocType
input-output programs,workstation clusters,Intelligent I/O,architectural software support,distributed computing,execution environment,messaging format,multi-Gigabit communication,processing clusters
Cluster (physics),Distributed Computing Environment,Computer science,Data acquisition,Parallel computing,Real-time computing,Software,Information and Communications Technology,System requirements,Extensibility,Software framework,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-0896-0
0
0.34
References 
Authors
18
4
Name
Order
Citations
PageRank
Gutleber, J.111.30
E. Cano200.68
S. Cittolin300.68
F. Meijers400.68