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...
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
The emerging mobile wireless environment poses exciting challenges for distributed fault tolerant (FT) computing. This paper proposes a message loggingand recovery protocol on the...
Efficient access methods are reviewed and explored in relation to the global surface hourly data set and several of its derivative products. Typical access paradigms are compared ...
The paper presents in brief a project aimed at the development of a methodology and corresponding software tools intended for building of proper environments giving up means for s...
Maria Nisheva-Pavlova, Pavel Pavlov, Nikolay Marko...