  System-on-chip (SoC) has migrated from single core to manycore architectures
to cope with the increasing complexity of real-life applications. Application
task mapping has a significant impact on the efficiency of manycore system
(MCS) computation and communication. We present WAANSO, a scalable framework
that incorporates a Wavelet Clustering based approach to cluster application
tasks. We also introduce Ant Swarm Optimization (ASO) based on iterative
execution of Ant Colony Optimization (ACO) and Particle Swarm Optimization
(PSO) for task clustering and mapping to the MCS processing elements. We have
shown that WAANSO can significantly increase the MCS energy and performance
efficiencies. Based on our experiments on a 64-core system, WAANSO improves
energy efficiency by 19%, compared to baseline approaches, namely DPSO, ACO and
branch and bound (B&B). Additionally, the performance improves by 65.86%
compared to Density-Based Spatial Clustering of Applications with Noise
(DBSCAN) baseline.
