In this paper, we describe a processor architecture tailored to mixed-radix4/2/3 FFT algorithm. The proposed design supports all FFT sizes, namely 128-2048/1536, required by the LTE applications. The processor is based on the Transport Triggered Architecture processor architecture, which was customized with a set of function units, designed especially for the application at hand. The processor has been synthesized on an ASIC technology and both energy-efficiency and performance have been evaluated. The developed processor is programmable but shows energy-efficiency comparable to fixed-function ASIC implementations.

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This paper presents a statistical approach of finding a set of optimum compiler options to minimize the energy consumption of the compiled executable. The method employs a statistical, non-parametric analysis, namely the Mann-Whitney test, to determine a set of options to be turned on and off for a particular source code. Energy measurements show that an improvement of up to 15% over the default optimization set up of the compiler can be achieved with this methodology.

Field programmable gate array (FPGA) is a flexible solution for offloading part of the computations from a processor. In particular, it can be used to accelerate an execution of a computationally heavy part of the software application, e.g., in DSP, where small kernels are repeated often. Since an application code for a processor is a software, a design methodology is needed to convert the code into a hardware implementation, applicable to the FPGA. In this paper, we propose a design method, which uses the Transport Triggered Architecture (TTA) processor template and the TTA-based Co-design Environment toolset to automate the design process. With software as a starting point, we generate a RTL implementation of an application-specific TTA processor together with the hardware/software interfaces required to offload computations from the system main processor. To exemplify how the integration of the customized TTA with a new platform could look like, we describe a process of developing required interfaces from a scratch. Finally, we present how to take advantage of the scalability of the TTA processor to target platform and applicationspecific requirements.

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