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Mobile edge computing offers distributed cloud-computing capabilities and IT service environment to application developers and content providers to take advantage the close proximity to the end user and their devices. It opens up a huge innovation potential also for new verticals among them Internet of Things type of applications. Application orchestration plays a key role to use of these new distributed...
We present an overview of NP-hard problems and methods related to deployment, resource sharing, load balancing and fairness among multiple users in 5G mobile networks. We provide a general model of the system considering the E2E computational latency of Mobile Edge Computing (MEC) applications. An evaluation of a multi-user MEC offloading model reducible to the Multiple Knapsack Problem (MKP) is performed...
Numerical analysis of strongly correlated quantum lattice models has a great importance in quantum physics. The exponentially growing size of the Hilbert space makes these computations difficult, however sophisticated algorithms have been developed to balance the size of the effective Hilbert space and the accuracy of the simulation. One of these methods is the density matrix renormalization group...
Numerical simulation of complex computational fluid dynamics problems evolving in time plays an important role in scientific and engineering applications. Accurate behavior of dynamical systems can be understood using large scale simulations which traditionally requires expensive super-computing facilities. In the paper a Field Programmable Gate Array (FPGA) based framework is described to accelerate...
In the paper a framework for generating a locally controlled arithmetic unit is presented including graph generation from a mathematical expression, graph partitioning to determine locally controlled parts of the design and VHDL generation. The output of the framework is a pipelined architecture containing locally controlled groups of floating point units. It is demonstrated that both partitioning...
Computationally intensive problems can be represented with data-flow graphs and automatically transformed to locally controlled floating-point units via partitioning. In theory the lack of global control signals enables high performance implementation however placing and routing of the partitioned circuits are not trivial. In practice to create a high performance implementation the clusters should...
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