Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
In a previous paper we show how the FLAME methods and tools provide a solution to compute dense dense linear algebra operations on a multi-GPU platform with reasonable performance...
We defeat two proposed Unix file-system race condition defense mechanisms. First, we attack the probabilistic defense mechanism of Tsafrir, et al., published at USENIX FAST 2008[...
—This paper suggests a new approach for bitstream processing of embedded systems, using a combination of C++ metaprogramming combined with architecture extensions of an customiza...
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...