Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Software Defined Radio (SDR) is an emerging embedded domain where the physical layer of wireless protocols is implemented in software rather than the traditional application specific hardware. The operation throughput requirements of current third-generation (3G) wireless protocols are an order of magnitude higher than the capabilities of modern DSP processors. Due to this steep performance requirement, heterogeneous multiprocessor system-on-chip designs have been proposed to support SDR. Given the difficulty in compiling traditional digital signal processors, these new multiprocessor architectures provide even greater challenges for the programmers and compilers. ,  utilize a hierarchical dataflow programming model, referred to as SPIR, that is designed for modeling SDR applications.  then present a coarse-grained data ow compilation strategy that assigns a SDR protocol's DSP kernels onto multiple processors, allocates memory buffers, and determines an execution schedule that meets a prescribed throughput. Unlike traditional approaches, coarse-grained compilation exploits task-level parallelism by scheduling concurrent DSP kernels instead of instructions. Because of the streaming nature of SDR protocols,  adapted an existing instruction-level software pipelining technique, modulo scheduling, for coarse-grained compilation. Our compilation methodology is able to generate parallel code that achieves near linear speedup on a SDR multiprocessor system.
['Yuan Lin', 'Manjunath Kudlur', 'Scott A. Mahlke', 'Trevor N. Mudge']
I am writing a research paper on a idea Hierarchical coarse-grained stream compilation for software defined radio
[{"from": "human", "value": "I am writing a research paper on a idea Hierarchical coarse-grained stream compilation for software defined radio"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Software Defined Radio (SDR) is an emerging embedded domain where the physical layer of wireless protocols is implemented in software rather than the traditional application specific hardware. The operation throughput requirements of current third-generation (3G) wireless protocols are an order of magnitude higher than the capabilities of modern DSP processors. Due to this steep performance requirement, heterogeneous multiprocessor system-on-chip designs have been proposed to support SDR. Given the difficulty in compiling traditional digital signal processors, these new multiprocessor architectures provide even greater challenges for the programmers and compilers. ,  utilize a hierarchical dataflow programming model, referred to as SPIR, that is designed for modeling SDR applications.  then present a coarse-grained data ow compilation strategy that assigns a SDR protocol's DSP kernels onto multiple processors, allocates memory buffers, and determines an execution schedule that meets a prescribed throughput. Unlike traditional approaches, coarse-grained compilation exploits task-level parallelism by scheduling concurrent DSP kernels instead of instructions. Because of the streaming nature of SDR protocols,  adapted an existing instruction-level software pipelining technique, modulo scheduling, for coarse-grained compilation. Our compilation methodology is able to generate parallel code that achieves near linear speedup on a SDR multiprocessor system."}]