Abstract
Task scheduling and memory management are challenges that make Heterogeneous Computing difficult for the masses. There are several programming models and tools that exist targeting partitioning of workload and accessibility of data between CPU and GPU. We have developed and deployed Symphony SDK - a framework that makes workload partitioning, scheduling and memory management 'simple' for developers.In this talk, we will introduce Symphony architecture, elaborate how existing OpenCL kernels can be reused with heterogeneous task synchronization, task scheduling, and memory management capabilities of Symphony. We will also share real-world cases where Symphony has provided 2x-6x performance speed-ups.
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