Generic Multi-Phase Software-Pipelined Partial-FFT on Instruction-Level-Parallel Architectures and SDR Baseband Applications

Abstract

The PFFT (Partial FFT) is an extended FFT where only part of input or output bins are used. By pruning the useless dataflow, the PFFT can potentially achieve a significant speedup in many important applications. Although theoretical aspects of the PFFT have been thoroughly studied in past three decades, efficient implementations were rarely reported. The most important obstacle is the highly irregular dataflow and the associated control flow. In addition, a size-N PFFT has 2 N dataflow possibilities, so that delivering both flexibility and efficiency in the same implementation is very challenging. This paper presents a generic scheme to map the highly irregular dataflow of arbitrary PFFT onto ILP architectures with highly efficient SWP (SoftWare-Pipelining). Constraints and opportunities of algorithms and architecture are carefully analyzed and exploited. We introduce a multi-phase partitioning, bringing heterogeneous control structures and heterogeneous software pipelining schemes to minimize control overheads and to maximize the efficiency of SWP. The proposal has been tested with 10 representative benchmarks extracted from baseband applications. In experiments cycle-counts, instructions, NOPs, L1D/L1P access/miss/hit are thoroughly analyzed. Comparing to full FFTs with efficient SWP, our work reduces 20.5% -87.5% cycle-counts, 11.2% -86.5% instructions, 16.1% -79.4% L1D cache accesses and 19.5% -87.1% L1P cache accesses. To the best of our knowledge, this is the first reported work about the generic software-pipelined PFFT on ILP architectures.

Generating high performance pruned FFT implementations

“…The goal in previous work usually was to minimize the operations count to the extent possible, albeit at the cost of increasing the implementation complexity of the algorithm. Recently, [4] investigates the fast implementation of partial FFTs on processors that support software pipelining.…”