In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent e...
We provide an overview of Vector Symbolic Architectures (VSA), a class of structured associative memory models that offers a number of desirable features for artificial general int...
Multimedia processing on embedded devices requires an architecture that leads to high performance, low power consumption, reduced design complexity, and small code size. In this p...
The Single Instruction Multiple Data (SIMD) model for fine-grained parallelism was recently extended to support SIMD operations on disjoint vector elements. In this paper we demon...
Tarantula is an aggressive floating point machine targeted at technical, scientific and bioinformatics workloads, originally planned as a follow-on candidate to the EV8 processo...
Roger Espasa, Federico Ardanaz, Julio Gago, Roger ...