IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
: In this paper, we have proposed a time efficient, energy saving and robust broadcast/multicast protocol for reconfigurable cluster-based sensor network. In our broadcast protocol...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper we present a cost-effective, high bandwidth server I/O network architecture, named PaScal (Parallel and Scalable). We use the PaScal server I/O network to support da...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
Fault tolerance is an important issue for large machines with tens or hundreds of thousands of processors. Checkpoint-based methods, currently used on most machines, rollback all ...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
1 Scalable resource monitoring and discovery are essential to the planet-scale infrastructures such as Grids and PlanetLab. This paper proposes a scalable Grid monitoring architect...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
Previous work on scheduling dynamic competitive jobs is focused on multiprocessors configurations. This paper presents a new distributed dynamic scheduling scheme for sporadic re...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
Computational phylogeny is a challenging application even for the most powerful supercomputers. It is also an ideal candidate for benchmarking emerging multiprocessor architecture...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper, we propose the design of VoroNet, an objectbased peer to peer overlay network relying on Voronoi tessellations, along with its theoretical analysis and experimental...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approac...
IPPS
2007
IEEE
14 years 2 months ago
2007
IEEE
Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...