Scheduling precedence graphs in systems with interprocessor communication times
SIAM Journal on Computing
Optimal use of mixed task and data parallelism for pipelined computations
Journal of Parallel and Distributed Computing
A Pipeline-Based Approach for Scheduling Video Processing Algorithms on NOW
IEEE Transactions on Parallel and Distributed Systems
Design, Implementation and Evaluation of Parallel Pipelined STAP on Parallel Computers
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
PDP '05 Proceedings of the 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing
Scheduling linear chain streaming applications on heterogeneous systems with failures
Future Generation Computer Systems
Enhancing throughput for streaming applications running on cluster systems
Journal of Parallel and Distributed Computing
A survey of pipelined workflow scheduling: Models and algorithms
ACM Computing Surveys (CSUR)
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There is a large range of image processing applications that act on an input sequence of image frames that are continuously received. Throughput is a key performance measure to be optimized when executing them. In this paper we propose a new task replication methodology for optimizing throughput for an image processing application in the field of medicine. The results show that by applying the proposed methodology we are able to achieve the desired throughput in all cases, in such a way that the input frames can be processed at any given rate.