Caravela: A Novel Stream-Based Distributed Computing Environment

Authors:
Shinichi Yamagiwa;Leonel Sousa
Affiliations:
INESC-ID/IST, Technical University of Lisbon;INESC-ID/IST, Technical University of Lisbon
Venue:
Computer
Year:
2007

Citing 3
Cited 5

GPU Cluster for High Performance Computing

Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Stream Programming on General-Purpose Processors

Proceedings of the 38th annual IEEE/ACM International Symposium on Microarchitecture
Data buffering optimization methods toward a uniform programming interface for gpu-based applications

Proceedings of the 4th international conference on Computing frontiers

Massive parallel LDPC decoding on GPU

Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
Parallel LDPC Decoding on the Cell/B.E. Processor

HiPEAC '09 Proceedings of the 4th International Conference on High Performance Embedded Architectures and Compilers
Modelling and programming stream-based distributed computing based on the meta-pipeline approach

International Journal of Parallel, Emergent and Distributed Systems - Advances in Parallel and Distributed Computational Models
Design and implementation of a graphical user interface for stream-based distributed computing

PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
Parallel LDPC decoding on GPUs using a stream-based computing approach

Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications

Quantified Score

Hi-index	4.10

Visualization

Abstract

Distributed computing implies sharing computation, data, and network resources around the world. The Caravela environment applies a proposed flow model for stream computing on graphics processing units that encapsulates a program to be executed in local or remote computers and directly collects the data through the memory or the network.