Due to the limited amount of memory resources in em-bedded systems, minimizing the memory requirements is an important goal of software synthesis. This paper presents a set of techniques to reduce the code and data size for soft-ware synthesis from graphical DSP programs based on the synchronous dataflow (SDF) model. By sharing the kernel code among multiple instances of a block, we can further reduce the code size below the single appearance sched-ule. And, a systematic approach is presented to give up single appearance schedules to reduce the data buffer re-quirements. Experimental results from two real examples prove the significance of the proposed techniques.
Abstract. Synthesis of digital signal processing (DSP) software from dataflowbased formal models is ...
In this paper, we develop a new technique called buffer merging for reducing memory requirements of ...
This paper reviews a set of techniques for compiling dataflow-based, graphical programs for embedded...
This paper presents a set of techniques to reduce the code and data sizes for software synthesis fr...
Synchronous Dataflow, a subset of dataflow, has proven to be a good match for specifying DSP program...
In multimedia and graphics applications, data samples of nonprimitive type require significant amoun...
Dataflow has proven to be an attractive computational model for graphical DSP design environments th...
Abstract. Many modern DSP processors have the ability to access multiple memory banks in parallel. E...
Minimizing memory requirements for program and data are critical objectives when synthesizing softwa...
T his paper addresses trade-offs between the minimization of program memory and data memory requirem...
This paper addresses the problem of trading-off between the minimization of program and data memory ...
This paper minimizes the buffer size and the buffer memory management performance overhead for a syn...
Abstract. Synthesis of digital signal processing (DSP) software from dataflow-based formal models is...
Numerous design environments for signal processing use specification languages with semantics closel...
Though synchronous dataflow (SDF) graph has been a successful input specification language for digit...
Abstract. Synthesis of digital signal processing (DSP) software from dataflowbased formal models is ...
In this paper, we develop a new technique called buffer merging for reducing memory requirements of ...
This paper reviews a set of techniques for compiling dataflow-based, graphical programs for embedded...
This paper presents a set of techniques to reduce the code and data sizes for software synthesis fr...
Synchronous Dataflow, a subset of dataflow, has proven to be a good match for specifying DSP program...
In multimedia and graphics applications, data samples of nonprimitive type require significant amoun...
Dataflow has proven to be an attractive computational model for graphical DSP design environments th...
Abstract. Many modern DSP processors have the ability to access multiple memory banks in parallel. E...
Minimizing memory requirements for program and data are critical objectives when synthesizing softwa...
T his paper addresses trade-offs between the minimization of program memory and data memory requirem...
This paper addresses the problem of trading-off between the minimization of program and data memory ...
This paper minimizes the buffer size and the buffer memory management performance overhead for a syn...
Abstract. Synthesis of digital signal processing (DSP) software from dataflow-based formal models is...
Numerous design environments for signal processing use specification languages with semantics closel...
Though synchronous dataflow (SDF) graph has been a successful input specification language for digit...
Abstract. Synthesis of digital signal processing (DSP) software from dataflowbased formal models is ...
In this paper, we develop a new technique called buffer merging for reducing memory requirements of ...
This paper reviews a set of techniques for compiling dataflow-based, graphical programs for embedded...