| Abstract: |
| A common trend in high-performance computing (HPC) is the effort to minimize network delays to enhance performance. However, in compressible fluids, disturbances originating in one region propagate through the medium at the speed of sound, with other regions evolving independently until the disturbance reaches them. Similarly, in HPC environments, signals travel across the network at the speed of electromagnetic waves (i.e., the speed of light). In this work, we explore an approach that draws an analogy between these two systems by intentionally mapping the physical propagation delays to the network delays. This novel perspective seeks to align computation with communication delays, leveraging the inherent latency of the network rather than eliminating it, thus optimizing both system behavior and performance. |
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