Performance/Energy Optimization of DSP Transforms on the XScale Processor

The XScale processor family provides user-controllable independent configuration of CPU, bus, and memory frequencies. This feature introduces another handle for the code optimization with respect to energy consumption or runtime performance. We quantify the effect of frequency configurations on both performance and energy for three signal processing transforms: the discrete Fourier transform (DFT), finite impulse response (FIR) filters, and the WalshHadamard Transform (WHT). To do this, we use SPIRAL, a program generation and optimization system for signal processing transforms. For a given transform to be implemented, SPIRAL searches over different algorithms to find the best match to the given platform with respect to the chosen performance metric (usually runtime). In this paper we use SPIRAL to generate implementations for different frequency configurations and optimize for runtime and physically measured energy consumption. In doing so we show that first, each transform ach...

• Type: Conference
• Year: 2007
• Where: HIPEAC
• Authors: Paolo D'Alberto, Markus Püschel, Franz Franchetti
• Keywords: Energy Consumption, Frequency Configurations, HIPEAC 2007, Signal Processing Transforms, System Software