The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Abstract—Some real-time kernels (such as a recent realtime version of Linux) permit to execute interrupt handlers in dedicated threads, to control their interference on realtime ...
This paper provides an evaluation of SGI® RASC™ RC100 technology from a computational science software developer’s perspective. A brute force implementation of a two-point an...
Volodymyr V. Kindratenko, Robert J. Brunner, Adam ...
The performance attained by parallel programs executed on multiprocessor systems is largely in uenced both by the characteristics of the code and by those of the system architectu...
We report on the development of a visual programming environment for building applications for execution on a range of parallel computing platforms. This work exploits the dataflo...