The implementation of software for embedded digital signal processing (DSP) applications
is an extremely complex process. The complexity arises from escalating functionality in the …

In this paper, we formally develop techniques that minimize the memory requirements of a
target program when synthesizing software from dataflow descriptions of multirate signal …

In this thesis, we present various scheduling techniques for programs expressed as
Synchronous Dataflow (SDF) and Multidimensional Synchronous dataflow graphs …

Many common iterative or recursive DSP applications be can represented by synchronous
data-flow graphs (SDFGs). A great deal of research has been done attempting to optimize …

This paper reviews a set of techniques for compiling dataflow-based, graphical programs for
digital signal processing (DSP) applications into efficient implementations on programmable …

In a shared-memory multiprocessor system, it is possible that certain synchronization
operations are redundant that is, their corresponding sequencing requirements are enforced …

The age of parallel computing has brought with it the need for compilers which explore
sequential code, discover the inherent parallelism and generate optimized code which fully …

Many common iterative or recursive DSP applications can be represented by synchronous
data-flow graphs (SDFGs). A great deal of research has been done attempting to optimize …

Streaming applications such as virtual reality, video conferencing, and face detection,
impose high demands on a system's performance and battery life. With the advancement in …

Many common iterative or recursive DSP applications can be represented by synchronous
data-flow graphs (SDFGs). A great deal of research has been done attempting to optimize …