OpenCL Heterogeneous Computing is a standardized parallel computing framework supporting execution of code on diverse compute devices including CPUs, GPUs, accelerators, and specialized processors through unified programming interface and automatic compilation for target hardware. OpenCL enables write-once, run-anywhere GPU programs through standard API and kernel language, enabling portable code that executes on any OpenCL-compatible device without modification. The kernel language in OpenCL is based on C99 with extensions for parallel features and built-in functions for common operations (math functions, synchronization primitives), providing straightforward syntax for expressing parallel computation. The device independence of OpenCL kernels enables transparent redirection of computation to most suitable hardware (GPU for floating-point compute, CPU for control-flow intensive computation), enabling dynamic load balancing and hardware heterogeneity. The memory model in OpenCL distinguishes global memory (accessible by all work items, but slow), local memory (accessible by work items in single work group, fast), and private memory (per-work-item registers and local stack), enabling sophisticated memory hierarchy exploitation similar to CUDA shared memory. The portability of OpenCL code enables development on one platform (e.g., NVIDIA GPUs) and deployment on diverse hardware (AMD GPUs, Intel CPUs, Field-Programmable Gate Arrays) with automatic compiler optimization for each target. The standardization of OpenCL through Khronos Group ensures consistent behavior and interoperability across implementations, preventing vendor lock-in and enabling future hardware adoption. The performance characteristics of OpenCL vary significantly depending on target hardware and specific implementation, with careful optimization required to achieve comparable performance to platform-native programming models (CUDA for NVIDIA). OpenCL heterogeneous computing framework enables portable parallel code development for diverse compute devices through standardized programming interface.