[[abstract]]The authors present methods for scheduling and partitioning behavioral descriptions in order to synthesize application specific multiprocessor systems. The target application domain is real-time digital signal processing (DSP). In order to meet the real-time constraints, maximizing the system throughput and minimizing the number of communications between processors are important. A model of the target processor and the communication device is defined as a basis for synthesizing the multiprocessor system. The authors use an integer linear programming formulation to solve the partitioning and scheduling problem simultaneously. The optimization complexity of large applications can be reduced by using a simplified formulation and an...
For many years, the von Neumann bottleneck has imposed speed limits on the execution of a program. B...
This poster presentation outlines a proposed framework for handling mapping of signal processingappl...
We develop a 0-1 non-linear programming (NLP) model for combined temporal partitioning and highlevel...
[[abstract]]In this paper, we present methods for scheduling and partitioning behavioral description...
This chapter presents main results for partitioned and global scheduling of multiprocessor systems. ...
In this chapter we consider the problem of scheduling real-time applications upon multiprocessors, o...
The ever increasing complexity of Digital Signal Processing and other data independent scientific co...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
In this paper we study the partitioning approach for multiprocessor real-time scheduling. This appro...
In signal processing area, applications involve a large amount of computation, suggesting the use of...
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems whic...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
Recently, there has been an increase in demand for low cost, high throughput parallel processors on ...
There has been an upsurge in real-time multimedia applications in recent time.On a network, the abil...
For many years, the von Neumann bottleneck has imposed speed limits on the execution of a program. B...
This poster presentation outlines a proposed framework for handling mapping of signal processingappl...
We develop a 0-1 non-linear programming (NLP) model for combined temporal partitioning and highlevel...
[[abstract]]In this paper, we present methods for scheduling and partitioning behavioral description...
This chapter presents main results for partitioned and global scheduling of multiprocessor systems. ...
In this chapter we consider the problem of scheduling real-time applications upon multiprocessors, o...
The ever increasing complexity of Digital Signal Processing and other data independent scientific co...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
In recent years multiprocessor architectures have become mainstream, and multi-core processors are f...
In this paper we study the partitioning approach for multiprocessor real-time scheduling. This appro...
In signal processing area, applications involve a large amount of computation, suggesting the use of...
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems whic...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
Recently, there has been an increase in demand for low cost, high throughput parallel processors on ...
There has been an upsurge in real-time multimedia applications in recent time.On a network, the abil...
For many years, the von Neumann bottleneck has imposed speed limits on the execution of a program. B...
This poster presentation outlines a proposed framework for handling mapping of signal processingappl...
We develop a 0-1 non-linear programming (NLP) model for combined temporal partitioning and highlevel...