Paper Citation Record · LEDGER

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2509.08309.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.08309 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:53:34.066002Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T16:55:38.764173Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T17:02:24.553672Z

Reference resolution

53 of 53 outbound references displayed

verified exact1
verified fuzzy4
unresolved48
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31875306-5efe-4012-9a2a-50618d5b531c · outbound

This paper cites NCCL: accelerated multi-GPU collective communication.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism NCCL: accelerated multi-GPU collective communication

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:53:37.756092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 314d7857-8f3c-45cc-8158-b5bf6eedde3a · outbound

This paper cites ShareGPT.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism ShareGPT

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T20:53:37.660572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41584052-a921-4839-8e82-d17e38fcea85 · outbound

This paper cites GPT-4 Technical Report.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:30.671849Z

Source-reported events for the cited work

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Observation b80e34f7-c743-48f1-a56a-f98d807df92c · outbound

This paper cites Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:30.772845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1863aa73-3f8a-40b5-a13b-626c4eba2caa · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:53:37.575686Z

Source-reported events for the cited work

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Observation fa23cd5c-5924-4ca4-9fa3-6bd67dbfc07b · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:53:37.454601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8dd0b71f-7983-4b72-8380-9b0cc492b4ee · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:31.024369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba04eae8-0604-4ca9-a88f-d4458ffd1816 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:31.063237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5767af28-784d-4a6a-a5b7-0d5c36264212 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:53:37.344324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51c3b14e-9f9a-4884-8d31-f9d5715d7568 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Evaluating Large Language Models Trained on Code

Reference 10

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Source-reported events for the cited work

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Observation 368ee591-7614-4a19-9f1b-ecba55b6c56c · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:53:37.178582Z

Source-reported events for the cited work

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Observation c6c10d33-4c23-45a4-9b59-a668c1319ea9 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation d50ab370-f241-4da0-a763-77872ae9e7c8 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 13

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 4b67af20-9e6e-4f06-b9d2-dfc50e67c675 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 15

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Source-reported events for the cited work

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Observation c6d2838c-0aa1-4ac1-a702-220978ae3875 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:53:36.769021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e3d6901-d154-496e-8359-f7975f57057b · outbound

This paper cites M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism M\'elange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T20:53:31.694454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb76c67a-a3bd-4a00-8f44-7e60074990db · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-04T20:53:36.667598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e8225a2-deb0-4c9f-b07a-c421677e2b82 · outbound

This paper cites FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism FastDecode: High-Throughput GPU-Efficient LLM Serving using Heterogeneous Pipelines

Reference 19

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Source-reported events for the cited work

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Observation 1f96ef1a-0a70-4f5b-96ed-3cd4aff33490 · outbound

This paper cites Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads

Reference 20

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Source-reported events for the cited work

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Observation 4b0a3e99-b266-44b6-a4a1-79e02060586d · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation 5e9d1c0e-bfc9-4061-9951-c827e77c27b1 · outbound

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation 3d92674d-fe92-4eb4-b448-ce72ff3e2b20 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 23

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Source-reported events for the cited work

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Observation b686db21-843e-411f-8a6c-c8487b734e0e · outbound

This paper cites Scaling Laws for Neural Language Models.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Scaling Laws for Neural Language Models

Reference 24

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This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 23e4405d-4b2d-428c-968d-51f0a60d82f1 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation da68e34e-dd69-442d-80c7-d32975ea42b2 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 27

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Source-reported events for the cited work

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Observation 9bb1337b-8b54-4029-a2da-6816ad942ff8 · outbound

This paper cites Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

Reference 28

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation 3dff3f13-9541-48f8-b411-ba022122b361 · outbound

This paper cites SpotServe: Serving Generative Large Language Models on Preemptible Instances.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism SpotServe: Serving Generative Large Language Models on Preemptible Instances

Reference 30

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation b9e7bb2d-d007-4a9f-8803-2415067f8a44 · outbound

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 32

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Observation 5a22e5ab-74df-420a-a350-74313159d58f · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 33

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Source-reported events for the cited work

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Observation f6ef0f0f-0b2e-43ee-a0be-3d6b451b1c9f · outbound

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Source-reported events for the cited work

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Observation 2c772b5a-3f88-47a7-a971-2b7825104d01 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 37

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Observation ddbbc322-4944-47ae-b67a-0857d2d3be03 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Observation 6095cc65-e929-4bb1-b1df-77ddac29c952 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Observation dbb5ef4c-8faa-46a7-8869-978d9decfa69 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism LLaMA: Open and Efficient Foundation Language Models

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

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This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 42

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Observation 666ffacb-090f-433a-a9cd-74d0f8055985 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems

Reference 44

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Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Observation 21f0cf2c-fd3a-40a0-8285-e4ed8df6999f · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

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Observation ec765750-2bd0-4111-9c42-1b624fd7f144 · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 47

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Observation c083b2f6-9138-4ff6-bfc9-eaafe3d262fc · outbound

This paper cites an unresolved cited work.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism Unresolved cited work

Reference 48

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Observation 12c864f5-7e26-470e-a535-741ec6502ec5 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism OPT: Open Pre-trained Transformer Language Models

Reference 49

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Observation 6f810480-b13f-4aa8-a392-a9be854e583b · outbound

This paper cites InProceedings of the Nineteenth European Conference on Computer Systems.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism InProceedings of the Nineteenth European Conference on Computer Systems

Reference 50

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Observation 9192a142-3d6c-4fce-86d3-d76f90c84f91 · outbound

This paper cites DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving

Reference 51

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This paper cites LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization

Reference 52

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Source-reported events for the cited work

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Observation 08cad4e3-d216-4e00-b78e-5da19ee5768e · outbound

This paper cites InForty-first International Conference on Machine Learning.

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism InForty-first International Conference on Machine Learning

Reference 2024

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Lodestar: An Online-Learning LLM Inference Router cites this paper.

Lodestar: An Online-Learning LLM Inference Router Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism

Reference 59

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