Simulation study shows cold TLB misses in reverse address translation dominate latency for small collectives in multi-GPU pods, causing up to 1.4x degradation, while larger ones see diminishing returns.
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Sim-FA is a new simulator that instruments FlashAttention-3 for cycle-accurate GPGPU analysis, achieving 5.7% average error on H800 while explaining inaccuracies in existing DRAM traffic models.
A survey categorizing vendor mechanisms and user-level libraries for GPU-centric communication within and across nodes, with discussion of benefits, challenges, and open questions.
citing papers explorer
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Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods
Simulation study shows cold TLB misses in reverse address translation dominate latency for small collectives in multi-GPU pods, causing up to 1.4x degradation, while larger ones see diminishing returns.
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Sim-FA: A GPGPU Simulator Framework for Fine-Grained FlashAttention Pipeline Analysis
Sim-FA is a new simulator that instruments FlashAttention-3 for cycle-accurate GPGPU analysis, achieving 5.7% average error on H800 while explaining inaccuracies in existing DRAM traffic models.
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The Landscape of GPU-Centric Communication
A survey categorizing vendor mechanisms and user-level libraries for GPU-centric communication within and across nodes, with discussion of benefits, challenges, and open questions.