TONS uses linear optimization and heuristics to synthesize deadlock-free network topologies and routing for datacenter AI training, reporting 2.1x and 1.6x geometric mean speedups over best TPU torus variants for uniform random and all-to-all traffic in simulation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Throughput-Optimized Networks at Scale
TONS uses linear optimization and heuristics to synthesize deadlock-free network topologies and routing for datacenter AI training, reporting 2.1x and 1.6x geometric mean speedups over best TPU torus variants for uniform random and all-to-all traffic in simulation.