Exploiting Throughput for Pipeline Execution in Streaming Image Processing Applications
暂无分享,去创建一个
[1] Petia Radeva,et al. Supervised Texture Classification for Intravascular Tissue Characterization , 2005 .
[2] Fernando Guirado,et al. Exploitation of parallelism for applications with an input data stream: optimal resource-throughput tradeoffs , 2005, 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing.
[3] Anand Sivasubramaniam,et al. A Pipeline-Based Approach for Scheduling Video Processing Algorithms on NOW , 2003, IEEE Trans. Parallel Distributed Syst..
[4] Viktor K. Prasanna,et al. A Mapping Methodology for Designing Software Task Pipelines for Embedded Signal Processing , 1998, IPPS/SPDP Workshops.
[5] Jaspal Subhlok,et al. Optimal Use of Mixed Task and Data Parallelism for Pipelined Computations , 2000, J. Parallel Distributed Comput..
[6] Fernando Guirado,et al. Performance prediction using an application-oriented mapping tool , 2004, 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2004. Proceedings..
[7] Jan M. Rabaey,et al. Scheduling of DSP programs onto multiprocessors for maximum throughput , 1993, IEEE Trans. Signal Process..
[8] Frank D. Anger,et al. Scheduling Precedence Graphs in Systems with Interprocessor Communication Times , 1989, SIAM J. Comput..
[9] Petia Radeva,et al. Statistical strategy for anisotropic adventitia modelling in IVUS , 2006, IEEE Transactions on Medical Imaging.
[10] Pramod K. Varshney,et al. Design, implementation and evaluation of parallel pipelined STAP on parallel computers , 1998, Proceedings of the First Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing.
[11] Viktor K. Prasanna,et al. Parallel Implementation of a Class of Adaptive Signal Processing Applications , 2001, Algorithmica.