A new look at exploiting data parallelism in embedded systems

While some algorithms exhibit data-level parallelism suited to packed vector computation, it is shown that other kernels are most efficiently scheduled with more flexible vector models, which motivates exploration of non-traditional processor architectures for the embedded domain.