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Streaming Applications on Bus-Based Multiprocessor System-on-
Chips
Abstract
Inter-core communication introduces overheads in task schedules on Multiprocessor
System-on-Chips (MPSoCs). Inter-core communication overhead not only negatively
impacts the timing performance but also significantly degrades the memory usage
for streaming applications running on MPSoC architectures. By minimizing inter-core
communication overhead, a shorter period can be applied and system performance
(e.g., throughput, memory usage) can be improved. In this paper, we focus on
solving the problem of minimizing inter-core communication overhead for streaming
applications on bus-based MPSoCs. The objective is to minimize inter-core
communication overhead while minimizing the overall memory usage. To solve the
problem, we first let tasks with intra-period data dependencies transform to inter-period
data dependencies so as to overlap the execution of computation and inter -
core communication tasks. By doing this, inter-core communication overhead can be
effectively removed. To minimize the overall memory usage, we then perform
schedulability analysis and obtain the bounds of the times needed to reschedule
each task. Based on the schedulability analysis, we formulate the scheduling
problem as an integer linear programming (ILP) model and obtain an optimal
schedule. In addition, we propose a heuristic approach to efficiently obtain a near -
optimal solution. We conduct experiments on a set of benchmarks from both real-life
streaming applications and synthetic task graphs. The experimental results show
that the proposed approach can significantly reduce the schedule length and
improve the memory usage compared with the previous work.

2. Existing system
Inter-core communication introduces overheads in task schedules on Multiprocessor
System-on-Chips (MPSoCs). Inter-core communication overhead not only negatively
impacts the timing performance but also significantly degrades the memory usage
for streaming applications running on MPSoC architectures. By minimizing inter -core
communication overhead, a shorter period can be applied and system performance
(e.g., throughput, memory usage) can be improved.
Proposed system
we focus on solving the problem of minimizing inter-core communication overhead
for streaming applications on bus-based MPSoCs. The objective is to minimize inter-core
communication overhead while minimizing the overall memory usage. To solve
the problem, we first let tasks with intra-period data dependencies transform to inter-period
data dependencies so as to overlap the execution of computation and inter -
core communication tasks. By doing this, inter-core communication overhead can be
effectively removed. To minimize the overall memory usage, we then perform
schedulability analysis and obtain the bounds of the times needed to reschedule
each task. Based on the schedulability analysis, we formulate the scheduling
problem as an integer linear programming (ILP) model and obtain an optimal
schedule. In addition, we propose a heuristic approach to efficiently obtain a near -
optimal solution. We conduct experiments on a set of benchmarks from both real-life
streaming applications and synthetic task graphs. The experimental results show
that the proposed approach can significantly reduce the schedule length and
improve the memory usage compared with the previous work.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-

3.  Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.