OpenCL Runtime Task Offloading for Mobile Computing

The patent introduces an intermediary layer (runtime system and translation mechanism) between the host application and external computing devices. This intermediary handles instruction set architecture translation and task scheduling, allowing the host to execute tasks on diverse external devices without requiring device-specific programming. The intermediary resolves the incompatibility issue while maintaining high computing capability utilization.

The patent creates a universal task execution framework that can run on multiple types of devices (mobile devices, servers, cloud services) with different instruction set architectures. By using a standardized task description language and runtime system, the same application can be executed across diverse platforms without modification, achieving multi-functionality and platform independence.

The patent implements selective task offloading where only specific computationally intensive tasks are transferred to external devices, while other tasks remain executed locally. The runtime system analyzes task characteristics and determines the optimal partitioning between local and remote execution, avoiding the energy overhead of transferring unnecessary tasks while still utilizing external computational power for suitable workloads.

The patent incorporates feedback mechanisms where the runtime system monitors execution performance, energy consumption, and resource availability in real-time. Based on this feedback, the system dynamically adjusts task allocation decisions, transferring tasks to external devices when it energy-efficient and keeping tasks local when transmission overhead would exceed computational benefits.

The patent implements a self-service runtime system that automatically discovers available computing devices, characterizes their capabilities, and determines suitable task allocations without requiring manual intervention. The system autonomously performs device profiling, task analysis, and execution planning, eliminating the need for developers to re-analyze task suitability when devices are added or changed.

The patent creates a dynamic task execution system that continuously adapts to changing device availability and characteristics. The runtime system dynamically updates its knowledge base of available devices and their capabilities, and automatically re-optimizes task allocation based on current system state, enabling seamless adaptation to new devices without manual reconfiguration.