We introduce MaRS, a reconfigurable, parallel computing engine with special emphasis on scalability, lending itself to the computation-/data-intensive multimedia data processing a...
Nozar Tabrizi, Nader Bagherzadeh, Amir Hosein Kama...
Abstract—Large-scale data processing needs of enterprises today are primarily met with distributed and parallel computing in data centers. MapReduce has emerged as an important p...
Hyunseok Chang, Murali S. Kodialam, Ramana Rao Kom...
Abstract. This paper investigates two types of overhead due to duplicated local computations, which are frequently encountered in the parallel software of overlapping domain decomp...
This paper presents design and experimental results of a parallel linear equation solver by asynchronous partial Gauss-Seidel method. The basic idea of this method is derived from ...
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...