Parallelism Extraction Algorithm from Stream-Based Processing Flow Applying Spanning Tree

Manycore architecture promotes a massively parallel computing on the accelerators. Especially GPU is one of the main series of the high performance computing, which is also employed by top supercomputers in the world. The programming method on such accelerators includes development of a control program. The accelerator executes it to schedule the invocation timing of the accelerator's kernel program. The kernel program needs to be written based on the stream computing paradigm. Connecting I/Os of the kernel programs, we can develop a large application. When we consider the processing flow as a directed graph, we can implement a GUI-based programming tool for the accelerators. It visualizes a pipeline-based processing flow. However, it is very hard to find the starting point of a complex processing flow. Moreover, although the processing pipeline should include the potential parallelism, it is hard for the programmer to exploit it intuitively. This paper proposes an algorithm applying the spanning tree that mechanically exploits the parallelism and determines an execution order.