Abstract: A cloud-based framework dynamically utilizes a distributed pool of accelerators to parallelize calculations of physical simulation (physics) solver code partitioned across multiple accelerators and compute nodes of one or more virtual data centers in a virtualized computing environment. Multi-level partitioning logic of the framework partitions an input data set of the physics solver code into code groups configured to run on the accelerators using a “hardware agnostic” software layer that abstracts differences in processing architectures to allow targeting of different types of accelerators. A predictive scheduler interacts with the multi-level partitioning logic to locate and predictively reserve the accelerators within the pool, dynamically access and utilize the accelerators when needed, and then promptly release them upon completion of the calculations.

Abstract: The invention relates to a method and an apparatus for energizing fluids, comprising the step of subjecting a starting liquid to a process in order to produce an energized liquid the molecules of which are clustered and have a specific wavelength. In accordance with the invention the method also includes the steps of mixing the energized liquid with grains of a memorizing mineral so as to not only add to the liquid trace amounts of the mineral of said grains, but also subjecting the grains themselves to an energizing action by the clustered and structured liquid, thereby memorizing the structure and/or energy level of said liquid in said grains. Thereafter the memory carrying grains are separated from said liquid and preferably dried in order to make the grains fit for energizing other fluids.