How Block-Based Parallelization Cuts IO and Computation Overhead

This article explores how block-based parallelization improves the efficiency of probabilistic circuits by reducing both IO and computation overhead. Starting with fully connected sum layers, it explains how assigning indices, grouping node blocks, and padding with pseudo-nodes enable optimized kernel launches. Using dynamic programming for partitioning ensures minimal overhead while maximizing speed. Results show that larger block sizes cut IO operations dramatically, achieving up to 50x faster performance without significant cost from padded edges.