LLM Inference Unveiled: Survey and Roofline Model Insights | Paper Citation Record

Observation 90806b5a-d669-4a41-ae24-75184098e22d · inbound

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models cites this paper.

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:49:33.794422Z

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A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 27

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HybridFlow: A Flexible and Efficient RLHF Framework cites this paper.

HybridFlow: A Flexible and Efficient RLHF Framework LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 96

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Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization cites this paper.

Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 9

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Observation a73d2dac-4e2a-42e9-b7c5-149bf4ab8b80 · inbound

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization cites this paper.

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 71

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Observation ecfd4f90-ce9d-497b-a883-24e8b28f6620 · inbound

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation cites this paper.

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 53

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Observation 2164ac5a-ad2a-4c46-afae-d0fb53ae3d2d · inbound

EcoServe: Designing Carbon-Aware AI Inference Systems cites this paper.

EcoServe: Designing Carbon-Aware AI Inference Systems LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 85

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Observation 6ed6c039-3b37-495c-8cbe-b021ae7d85a0 · inbound

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees cites this paper.

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 74

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Observation 70f92a0a-1dbc-4fd9-840c-8d0f1db5a590 · inbound

LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation cites this paper.

LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:12:11.621335Z

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Observation ecca2898-dbd4-46c9-b25a-38c76e1393d0 · inbound

Scaling Law for Quantization-Aware Training cites this paper.

Scaling Law for Quantization-Aware Training LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 43

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Observation 97d55eaf-e1ea-4233-aa9f-aea58d0b400a · inbound

How to keep pushing ML accelerator performance? Know your rooflines! cites this paper.

How to keep pushing ML accelerator performance? Know your rooflines! LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 29

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Observation b93a57aa-0a94-4728-8bc8-8f5214d49e12 · inbound

LatentLLM: Attention-Aware Joint Tensor Compression cites this paper.

LatentLLM: Attention-Aware Joint Tensor Compression LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 48

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Observation 50a59906-288a-4c38-990d-e47abb93f1d2 · inbound

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts cites this paper.

$\mu$-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 63

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FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Efficient Multi-Head Attention on Tile-Based Many-PE Accelerators cites this paper.

FlatAttention: Dataflow and Fabric Collectives Co-Optimization for Efficient Multi-Head Attention on Tile-Based Many-PE Accelerators LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 2

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DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model cites this paper.

DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 76

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Observation dcfdf893-6348-4cbd-95bc-e83b1ef50f6a · inbound

Kinetics: Rethinking Test-Time Scaling Laws cites this paper.

Kinetics: Rethinking Test-Time Scaling Laws LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 61

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Observation 1d8ad172-a5ce-46a3-ad55-399e14c4ea5e · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 24

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RAILS: Retrieval-Augmented Intelligence for Learning Software Development cites this paper.

RAILS: Retrieval-Augmented Intelligence for Learning Software Development LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 20

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Teaching LLMs to Speak Spectroscopy cites this paper.

Teaching LLMs to Speak Spectroscopy LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 2017

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Observation 84d11a4a-1084-4bf8-812f-086dfa615dee · inbound

XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization cites this paper.

XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 45

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Observation 50dbda44-73ad-4c8c-b464-a047058de65d · inbound

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration cites this paper.

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T16:03:35.382312Z

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Observation 56688505-a8b2-4bcc-9b9b-e778f36b9c4e · inbound

HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference cites this paper.

HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T16:35:33.896184Z

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Observation 159f7077-0ace-467e-af00-344d9027a091 · inbound

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads cites this paper.

Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:57:43.030400Z

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Observation 0d18adca-0792-44d3-890d-59c722e37061 · inbound

SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference cites this paper.

SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:07:29.606715Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 147cae87-5bfc-4a14-beb9-9ecd4747d509 · inbound

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs cites this paper.

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:58:03.122102Z

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Observation f5ff9e9a-1a6d-4c80-ac42-0fe94c2f005e · inbound

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling cites this paper.

Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:38:02.718186Z

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Observation a65b5d76-97c6-4b4b-a227-02f450f67153 · inbound

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics cites this paper.

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:19.616843Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 045be78f-94a9-4672-9169-9c9e6102a303 · inbound

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding cites this paper.

Why and When Visual Token Pruning Fails? A Study on Relevant Visual Information Shift in MLLMs Decoding LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:01.463875Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 056bba68-557b-4834-9c14-b507ffce08df · inbound

A Task Decomposition and Planning Framework for Efficient LLM Inference in AI-Enabled WiFi-Offload Networks cites this paper.

A Task Decomposition and Planning Framework for Efficient LLM Inference in AI-Enabled WiFi-Offload Networks LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:12.821198Z

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Observation 8ef061b4-f73b-4e58-80d3-c1a271d5a89c · inbound

Making Every Verified Token Count: Adaptive Verification for MoE Speculative Decoding cites this paper.

Making Every Verified Token Count: Adaptive Verification for MoE Speculative Decoding LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:05.348415Z

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Observation 06e377ad-dcda-403a-bccc-88435008d2aa · inbound

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis cites this paper.

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:26.967126Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e530f9f2-06aa-4692-912e-9a96b177b4c0 · inbound

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis cites this paper.

Sim-FA: A GPGPU Simulator Framework for Fine-Grained Asynchronous Pipeline Analysis LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 13

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Observation e9c5676f-0207-4e02-bdfb-cf1ed7537661 · inbound

Gated Subspace Inference for Transformer Acceleration cites this paper.

Gated Subspace Inference for Transformer Acceleration LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:41:31.916138Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42e9d4d3-7ed4-41d9-a55b-429b60591205 · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:30:44.191274Z

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Observation b24b8616-dbc5-43d5-a0c1-d1b4ed63a515 · inbound

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization cites this paper.

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:18.177694Z

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Observation 8246754b-f481-416b-9f79-16f07c5cff9c · inbound

KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference cites this paper.

KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:18:13.959019Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1bd1c73a-6b8a-45a0-a48f-b7e1d9ba5b0c · inbound

On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection cites this paper.

On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:13.308427Z

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Observation 275b708e-8721-476b-a29a-1fd21f16047b · inbound

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture cites this paper.

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 170

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:09.263898Z

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Observation 5bb01164-4430-424f-8618-806e1500196c · inbound

EinSort: Sorting is All We Need for Tensorizing LLM cites this paper.

EinSort: Sorting is All We Need for Tensorizing LLM LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:57:26.711487Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation edaa94ed-94a3-4f1c-85da-db9cf5bf72a7 · inbound

Operator Fusion for LLM Inference on the Tensix Architecture cites this paper.

Operator Fusion for LLM Inference on the Tensix Architecture LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:16:44.969993Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d58a23c3-f7e6-4a53-997d-a141d21b67c9 · inbound

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts cites this paper.

EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:59:07.177818Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c1ecd48-3c85-496f-86e8-8da5a2c8fcfb · inbound

Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding cites this paper.

Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.985869Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71735d02-751c-4462-b4a0-537cf837c9c6 · inbound

KARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression cites this paper.

KARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:29:22.036003Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 335dbaa4-29f2-468a-a406-8b2e36a447af · inbound

KARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression cites this paper.

KARA: Efficient Reasoning LLM Serving via Sliding-Window KV Cache Compression LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T17:54:40.241144Z

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Observation e4ae8fa4-9ab3-4f41-9429-8aca7ece18b7 · inbound

MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems cites this paper.

MLSYSIM: First-Principles Infrastructure Modeling for Machine Learning Systems LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 136

Resolution: unresolved; no resolver link, observed 2026-07-12T11:05:56.233115Z

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Observation 3df85082-7be3-42d5-bf95-d3b761ddf1b2 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-08T22:45:40.136167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0405de9-45c6-4168-a446-b473c3262421 · inbound

Think Before You Grid-Search: Floor-First Triage for LLM Serving cites this paper.

Think Before You Grid-Search: Floor-First Triage for LLM Serving LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-11T01:57:51.036518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ecd1f7a-97e0-4398-8016-4c8f0275c8f9 · inbound

A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing cites this paper.

A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-01T21:12:12.343498Z

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Observation 9168e695-d063-4ad4-9634-4fa85f8a9393 · inbound

HiKV: Hierarchical Importance-Aware KV Cache with Hardware Acceleration for LLM Decoding cites this paper.

HiKV: Hierarchical Importance-Aware KV Cache with Hardware Acceleration for LLM Decoding LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T04:58:46.181845Z

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Observation 7af833aa-6c1b-444c-9024-198ac481d754 · inbound

TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters cites this paper.

TileSight: A First-Principles Tile-Centric Analytical GPU Performance Model from Cores to Clusters LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T04:49:48.043261Z

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Observation 9d2d8d7c-48a5-4710-a506-4a869d174421 · inbound

NELSSA: A GPU-PNM Heterogeneous System for Mixed-Length LLM Serving via Length-based Request Placement cites this paper.

NELSSA: A GPU-PNM Heterogeneous System for Mixed-Length LLM Serving via Length-based Request Placement LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T12:00:24.412238Z

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SLIM: Saturation-Aware Lightweight Performance Modeling for LLM Serving cites this paper.

SLIM: Saturation-Aware Lightweight Performance Modeling for LLM Serving LLM Inference Unveiled: Survey and Roofline Model Insights

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