We focus on unreliable asynchronous shared memory model which support only atomic read and write operations. For such a model we provide a necessary condition for the solvability ...
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Supercomputer architects strive to maximize the performance of scientific applications. Unfortunately, the large, unwieldy nature of most scientific applications has lead to the...
Richard C. Murphy, Arun Rodrigues, Peter M. Kogge,...
Spatial awareness is crucial for human performance efficiency of any task that entails perception of space. Memory of spaces is an imperfect reflection of the cognitive activity (...
“Is transactional memory useful?” is the question that cannot be answered until we provide substantial applications that can evaluate its capabilities. While existing TM appli...
Vladimir Gajinov, Ferad Zyulkyarov, Osman S. Unsal...