Pareto efficient design for reconfigurable streaming applications on CPU/FPGAs
Proceedings of the Conference on Design, Automation and Test in Europe
Performance Analysis of Reconfigurations in Adaptive Real-Time Streaming Applications
ACM Transactions on Embedded Computing Systems (TECS)
A new data flow analysis model for TDM
Proceedings of the tenth ACM international conference on Embedded software
Dataflow analysis for multiprocessor systems with non-starvation-free schedulers
Proceedings of the 16th International Workshop on Software and Compilers for Embedded Systems
Hi-index | 14.98 |
Single-Rate Data-Flow (SRDF) graphs, also known as Homogeneous Synchronous Data-Flow (HSDF) graphs or Marked Graphs, are often used to model the implementation and do temporal analysis of concurrent DSP and multimedia applications. An important problem in implementing applications expressed as SRDF graphs is the computation of the minimal amount of buffering needed to implement a static periodic schedule (SPS) that is optimal in terms of execution rate, or throughput. Ning and Gao [1] propose a linear-programming-based polynomial algorithm to compute this minimal storage amount, claiming optimality. We show via a counterexample that the proposed algorithm is not optimal. We prove that the problem is, in fact, NP-complete. We give an exact solution, and experimentally evaluate the degree of inaccuracy of the algorithm of Ning and Gao.