A novel approach for reconstruction of sparse high-resolution data from lower-resolution dense spatio-temporal data is introduced. The basic idea is to compute the dense feature velocities from lower-resolution data and project them to the corresponding high-resolution data for computing the missing data. In this context, the basic flow equation is solved for intensity, as opposed to feature ve...

In recent years, the need for ability to work remotely and subsequently availability of remote computer-based systems has increased substantially. This trend seen a dramatic increase with onset 2020 pandemic. Often local data is produced, stored, processed in cloud remedy this flood computation storage needs. Historically, HPC (high performance computing) concept big have been utilized processi...

A. Yonezawa. ABCL/onEM-4: a new software/hardware architecture for object-oriented concurrent computing on an extended data-flow computer. In

The scheduling problem in distributed data-intensive computing environments has become an active research topic due to the tremendous growth in grid and cloud computing environments. As an innovative distributed intelligent paradigm, swarm intelligence provides a novel approach to solving these potentially intractable problems. In this paper, we formulate the scheduling problem for work-flow ap...

The flow complex was introduced recently as a data structure on a finite number of points in . The flow complex is a two dimensional simplicial complex that turned out to be useful for modeling applications like surface reconstruction. In order to apply the flow complex to tasks in bio-geometric modeling an extension to weighted points is needed. Here we report on an algorithm to compute the we...

The Element CXI Elemental Computing Architecture (ECA) is a scalable, fully programmable platform for parallel and distributed processing. The architecture is comprised of a dynamically configurable fabric of heterogeneous elements—or dataflow engines—that time-share operations in a token-based data-driven flow. Computationally intensive tasks are distributed across elements for maximum speed a...

Polymorphism in programming languages enables code reuse. Here, we show that polymorphism has broad applicability far beyond computations for technical computing: parallelism in distributed computing, presentation of visualizations of runtime data flow, and proofs for formal verification of correctness. The ability to reuse a single codebase for all these purposes provides new ways to understan...