Credit-Guided Congestion Control on Wafer-Scale On-Chip Networks for Molecular Dynamics
Tao Jiang, Shixiong Qi, Zhan Wang, Ning Kang, Fan Yang, Yuanzhe Wang, Zejun Li, Guanglei Chen, Jing Xu, Wenzhe Li, Guangming Tan, Guojun Yuan
Abstract
Molecular dynamics (MD) is a cornerstone of scientific computing, but strong scaling often collapses at high parallelism because communication is bursty and highly sensitive to tail latency. MD advances by repeating a fixed timestep loop (one iteration of force computation and state update), and performance is largely determined by how quickly timesteps complete. A key reason is that each timestep contains short, synchronized communication phases, followed by a global dependency before the next timestep. Wafer-scale chips (WSCs) offer cycle-level latency and high on-chip bandwidth, yet their 2D mesh fabrics can still suffer burst-induced queue buildup; existing wavelet scheduling relies on a static stride that either over-injects (triggering credit backpressure) or over-throttles (wasting bandwidth) as conditions evolve.
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