There is a strong need now for compilers of embedded systems to find effective ways of optimizing series of loop-nests, wherein majority of the memory references occur in the fo...
Javed Absar, Min Li, Praveen Raghavan, Andy Lambre...
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Bank locality can be defined as localizing the number of load/store accesses to a small set of memory banks at a given time. An optimizing compiler can modify a given input code t...
Guilin Chen, Mahmut T. Kandemir, Hendra Saputra, M...
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of t...
We present a new algorithm to compute a subset S of vertices of a planar graph G whose removal partitions G into O(N/h) subgraphs of size O(h) and with boundary size O( h) each. ...