Abstract— NnSP is a stream-based programmable and codelevel statically reconfigurable processor for realization of neural networks in embedded systems. NnSP is provided with a n...
Hadi Esmaeilzadeh, Pooya Saeedi, Babak Nadjar Araa...
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
—This paper explores the use of dynamic compilation for continuing execution even if one or more of the memory banks used by an application become temporarily unavailable (but th...
Vector-thread (VT) architectures exploit multiple forms of parallelism simultaneously. This paper describes a compiler for the Scale VT architecture, which takes advantage of the ...
Embedded processor performance is dependent on both the underlying architecture and the compiler optimisations applied. However, designing both simultaneously is extremely difficu...
Christophe Dubach, Timothy M. Jones, Michael F. P....