GF-DiT dynamically adapts parallelism during DiT serving via trajectory tasks and group-free collectives, reporting up to 6x throughput and 95% latency reduction versus static configurations.
Sitara- man, and Hui Guan
2 Pith papers cite this work. Polarity classification is still indexing.
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DisagFusion achieves 3.4x-20.5x higher throughput and 18.5x lower latency for diffusion serving via asynchronous pipeline parallelism and elastic hybrid scheduling on disaggregated hardware.
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GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving
GF-DiT dynamically adapts parallelism during DiT serving via trajectory tasks and group-free collectives, reporting up to 6x throughput and 95% latency reduction versus static configurations.
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DisagFusion: Asynchronous Pipeline Parallelism and Elastic Scheduling for Disaggregated Diffusion Serving
DisagFusion achieves 3.4x-20.5x higher throughput and 18.5x lower latency for diffusion serving via asynchronous pipeline parallelism and elastic hybrid scheduling on disaggregated hardware.