In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

It is well known that traditional Markov chain Monte Carlo (MCMC) methods can fail to effectively explore the state space for multimodal problems. Parallel tempering is a well-established population ...

Outshining ASICs, DSP and FPGA for many video and imaging applications, each processor in an MPPA is strictly encapsulated, accessing only its own code and memory. Editor's Note: This is the first of ...

This is a preview. Log in through your library . Abstract Many existing algorithms for obtaining the eigenvalues and eigenvectors of matrices would make poor use of such a powerful parallel computer ...

Axeon, the Aberdeen-based parallel processor developer, has released details of itsVindAX processor. Available in both silicon and intellectual property form, VindAX (derived from theLatin for ...

As the number of elements on phased array antennas continues to grow, so does the volume of data that must be processed to extract information from the signals gathered. Researchers at the Georgia ...

Machine learning systems increasingly underpin modern technological innovation, and their effectiveness is inextricably linked to advanced data management solutions. Contemporary research has placed a ...