Abstract: Elastic computing is an optimization framework that combines standard application code with specialized elastic functions and corresponding optimization tools. The elastic functions provide a knowledge-base of implementation alternatives and parallelization strategies for a given function. When an application calls an elastic function, the elastic computing tools analyze available devices and resources (e.g., cores, GPUs, FPGAs, etc.) and current run-time parameters, and then transparently select from numerous pre-analyzed implementation possibilities to optimize for performance, power, energy, size, or any combination of these goals.

Abstract: Elastic computing is an optimization framework that combines standard application code with specialized elastic functions and corresponding optimization tools. The elastic functions provide a knowledge-base of implementation alternatives and parallelization strategies for a given function. When an application calls an elastic function, the elastic computing tools analyze available devices and resources (e.g., cores, GPUs, FPGAs, etc.) and current run-time parameters, and then transparently select from numerous pre-analyzed implementation possibilities to optimize for performance, power, energy, size, or any combination of these goals.