Better Optimization For Many-Core AI Chips

The rise of massively parallel computing has led to an explosion of silicon complexity, driven by the need to process data for artificial intelligence (AI) and machine learning (ML) applications. This complexity is seen in designs like the Cerebras Wafer Scale Engine (figure 1), a tiled manycore, multiple wafer die with a transistor count into the trillions and nearly a million compute cores. ... » read more