For instance, if the remote server becomes unavailable due to unstable network connection, the computation executed on the server should come back to the device or go to another available server on the fly.
Hence, without changing the internal hardware architecture, our hardware designs can be used to process different data sets with varying number of vectors and with varying number of dimensions; used for any embedded applications that employ the PCA computation; executed on different development platforms, including platforms with recent FPGAs such as Virtex-7 chips.
The goal of this work is to derive input parameters which yield the minimum execution time for matrix-based computations executing on a GPU.
In this paper, we present a model for reasoning about energy consumed by concurrent computations executing on multicore processors, and mechanisms involved in creating schedules – of resource usage as well as frequencies at which processor cores should execute – for completing computation in an energy-efficient manner.
According to CCTM, the mind is a computational system similar in important respects to a Turing machine, and core mental processes (e.g., reasoning, decision-making, and problem solving) are computations similar in important respects to computations executed by a Turing machine.
Processor temperature is not considered; therefore, energy for static power consumption is only related to λ and T. Obviously, the frequency at which the core executing the sequential part of the computation executes, remains unchanged regardless of whether uniform or non-uniform frequencies are employed.
Note that TM′ < TM and TR′ < TR. iiHadoop accelerates the incremental iterative computation by executing iterations asynchronously (i.e., two iterations can concurrently process their data).
It supports iterative computations by executing iterations asynchronously and scheduling the tasks with a producer/consumer relation on the same machine.
In addition, a software program written in C for the PCA computation is executed on a personal computer.
The computation was executed on a personal computer with an Intel Xeon 3.00 GHz CPU.
