Cerebras Wafer-Scale Engine Achieves 210x Speedup Over NVIDIA H100 - Cerebras

This post details a dataflow matrix-free finite volume solver for the Cerebras Wafer-Scale Engine (WSE) that achieves a 210x speedup over NVIDIA H100 GPUs for geological carbon capture and storage (CCS) simulations. The solver leverages the WSE's dataflow architecture, eliminating memory latency and bandwidth bottlenecks. Key findings include a 210x performance boost over H100, up to 1.217 PFlops on a single CS-2 node, and strong scalability. Algorithmic enhancements such as asynchronous communications, vectorization, and memory optimization were crucial. The research highlights the WSE's efficiency in managing intricate data communication and suggests further exploration for HPC tasks with arbitrary mesh topologies.