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Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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SUMMA: scalable universal matrix multiplication algorithm
inferredcites →https://doi.org/10.1016/j.cviu.2023.103838openalex-snapshot
Constituent Attention for Vision Transformers
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MetaFormer is Actually What You Need for Vision
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TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer
inferredcites →https://doi.org/10.1109/icpr.2016.7900006openalex-snapshot
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Accelerating Transformer Networks through Recomposing Softmax Layers
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A Scalable GPT-2 Inference Hardware Architecture on FPGA
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ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
inferredcites →https://doi.org/10.1109/ipdpsw63119.2024.00208openalex-snapshot
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
inferredcites →https://doi.org/10.1109/isca45697.2020.00045openalex-snapshot
MLPerf Inference Benchmark
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Splitwise: Efficient Generative LLM Inference Using Phase Splitting
inferredcites →https://doi.org/10.1109/sc41404.2022.00051openalex-snapshot
DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
inferredcites →https://doi.org/10.1109/sc41405.2020.00073openalex-snapshot
BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching
inferredcites →https://doi.org/10.1109/scw63240.2024.00178openalex-snapshot
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
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Speculative computation, parallelism, and functional programming
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A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
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Triton: an intermediate language and compiler for tiled neural network computations
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Demystifying Parallel and Distributed Deep Learning
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Scalable Deep Learning on Distributed Infrastructures
inferredcites →https://doi.org/10.1145/3487045openalex-snapshot
Compression of Deep Learning Models for Text: A Survey
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MLIR-based code generation for GPU tensor cores
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Tabi: An Efficient Multi-Level Inference System for Large Language Models
inferredcites →https://doi.org/10.1145/3575693.3575698openalex-snapshot
STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining
inferredcites →https://doi.org/10.1145/3575693.3576933openalex-snapshot
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
inferredcites →https://doi.org/10.1145/3579371.3589350openalex-snapshot
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings
inferredcites →https://doi.org/10.1145/3579990.3583093openalex-snapshot
PyTorch 2.0: The Journey to Bringing Compiler Technologies to the Core of PyTorch (Keynote)
inferredcites →https://doi.org/10.1145/3580305.3599572openalex-snapshot
Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques
inferredcites →https://doi.org/10.1145/3581784.3607102openalex-snapshot
Calculon: a methodology and tool for high-level co-design of systems and large language models
inferredcites →https://doi.org/10.1145/3582016.3582047openalex-snapshot
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
inferredcites →https://doi.org/10.1145/3588964openalex-snapshot
FlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device Placement
inferredcites →https://doi.org/10.1145/3600006.3613139openalex-snapshot
PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation
inferredcites →https://doi.org/10.1145/3600006.3613163openalex-snapshot
Paella: Low-latency Model Serving with Software-defined GPU Scheduling
inferredcites →https://doi.org/10.1145/3600006.3613165openalex-snapshot
Efficient Memory Management for Large Language Model Serving with PagedAttention
inferredcites →https://doi.org/10.1145/3617689openalex-snapshot
Improving Computation and Memory Efficiency for Real-world Transformer Inference on GPUs
inferredcites →https://doi.org/10.1145/3620665.3640383openalex-snapshot
ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference
inferredcites →https://doi.org/10.1145/3620665.3640411openalex-snapshot
SpotServe: Serving Generative Large Language Models on Preemptible Instances
inferredcites →https://doi.org/10.1145/3620666.3651335openalex-snapshot
SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification
inferredcites →https://doi.org/10.1145/3626246.3654683openalex-snapshot
Demystifying Data Management for Large Language Models
inferredcites →https://doi.org/10.1145/3669940.3707215openalex-snapshot
Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow
inferredcites →https://doi.org/10.1145/3669940.3707220openalex-snapshot
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism
inferredcites →https://doi.org/10.1145/3669940.3707256openalex-snapshot
vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention
inferredcites →https://doi.org/10.1145/3676641.3716249openalex-snapshot
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning
inferredcites →https://doi.org/10.1145/3689031.3696072openalex-snapshot
Fast State Restoration in LLM Serving with HCache
inferredcites →https://doi.org/10.1145/3694715.3695948openalex-snapshot
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
inferredcites →https://doi.org/10.1145/3694715.3695964openalex-snapshot
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
inferredcites →https://doi.org/10.1145/3714983.3714987openalex-snapshot
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration
inferredcites →https://doi.org/10.1162/tacl_a_00353openalex-snapshot
Efficient Content-Based Sparse Attention with Routing Transformers
inferredcites →https://doi.org/10.1162/tacl_a_00577openalex-snapshot
Efficient Methods for Natural Language Processing: A Survey
inferredcites →https://doi.org/10.1162/tacl_a_00735openalex-snapshot
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure
inferredcites →https://doi.org/10.1201/9781003162810-13openalex-snapshot
A Survey of Quantization Methods for Efficient Neural Network Inference
inferredcites →https://doi.org/10.14218/jcth.2022.00006sopenalex-snapshot
Diagnostic and Prognostic Value of Protein Post-Translational Modifications in Hepatocellular Carcinoma
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BumbleBee: Secure Two-party Inference Framework for Large Transformers
inferredcites →https://doi.org/10.14778/3626292.3626303openalex-snapshot
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013723openalex-snapshot
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-snapshot
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
inferredcites →https://doi.org/10.1609/aaai.v35i15.17572openalex-snapshot
An Efficient Transformer Decoder with Compressed Sub-layers
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.204openalex-snapshot
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.537openalex-snapshot
FastBERT: a Self-distilling BERT with Adaptive Inference Time
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.372openalex-snapshot
TinyBERT: Distilling BERT for Natural Language Understanding
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.406openalex-snapshot
Consistent Accelerated Inference via Confident Adaptive Transformers
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.11openalex-snapshot
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.304openalex-snapshot
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.43openalex-snapshot
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
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A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models
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TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
inferredcites →https://doi.org/10.18653/v1/2021.sustainlp-1.5openalex-snapshot
Memory-efficient Transformers via Top-k Attention
inferredcites →https://doi.org/10.18653/v1/2023.acl-demo.54openalex-snapshot
Petals: Collaborative Inference and Fine-tuning of Large Models
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Accelerating Transformer Inference for Translation via Parallel Decoding
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Adapting Language Models to Compress Contexts
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.298openalex-snapshot
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.391openalex-snapshot
Compressing Context to Enhance Inference Efficiency of Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.825openalex-snapshot
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
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DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.172openalex-snapshot
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.607openalex-snapshot
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.678openalex-snapshot
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.91openalex-snapshot
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
inferredcites →https://doi.org/10.18653/v1/2024.eacl-demo.23openalex-snapshot
LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking
inferredcites →https://doi.org/10.18653/v1/2024.eacl-long.4openalex-snapshot
Generating Benchmarks for Factuality Evaluation of Language Models
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.742openalex-snapshot
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding
inferredcites →https://doi.org/10.18653/v1/2025.naacl-long.601openalex-snapshot
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
inferredcites →https://doi.org/10.18653/v1/d18-1149openalex-snapshot
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
inferredcites →https://doi.org/10.18653/v1/d19-1441openalex-snapshot
Patient Knowledge Distillation for BERT Model Compression
inferredcites →https://doi.org/10.18653/v1/d19-1633openalex-snapshot
Mask-Predict: Parallel Decoding of Conditional Masked Language Models
inferredcites →https://doi.org/10.18653/v1/p17-2091openalex-snapshot
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary
inferredcites →https://doi.org/10.18653/v1/p18-1027openalex-snapshot
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
inferredcites →https://doi.org/10.21437/interspeech.2014-80openalex-snapshot
Long short-term memory recurrent neural network architectures for large scale acoustic modeling
inferredcites →https://doi.org/10.24963/ijcai.2019/735openalex-snapshot
Sharing Attention Weights for Fast Transformer
inferredcites →https://doi.org/10.48550/arxiv.1802.09941openalex-snapshot
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
inferredcites →https://doi.org/10.48550/arxiv.1903.11314openalex-snapshot
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
inferredcites →https://doi.org/10.48550/arxiv.2002.10957openalex-snapshot
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
inferredcites →https://doi.org/10.48550/arxiv.2105.01601openalex-snapshot
MLP-Mixer: An all-MLP Architecture for Vision
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Hash Layers For Large Sparse Models
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BNAI, NO-TOKEN, and MIND-UNITY: Pillars of a Systemic Revolution in Artificial Intelligence
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inferredcites →https://doi.org/10.48550/arxiv.2206.03382openalex-snapshot
Tutel: Adaptive Mixture-of-Experts at Scale
inferredcites →https://doi.org/10.48550/arxiv.2211.05102openalex-snapshot
Efficiently Scaling Transformer Inference
inferredcites →https://doi.org/10.48550/arxiv.2211.15841openalex-snapshot
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts
inferredcites →https://doi.org/10.48550/arxiv.2310.19102openalex-snapshot
Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
inferredcites →https://doi.org/10.52202/068431-0515openalex-snapshot
Mixture-Of-Experts with Expert Choice Routing
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ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Perspectives On Machine Learning Inference Serving in Real‐World Settings
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The Impact of Artificial Intelligence Literacy on Students’ Social-Emotional Competence: An Empirical Study Using Random Forest Feature Importance Modeling
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Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment
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Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities
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Cross-Layer Performance Analysis of Single-GPU Large Language Model Inference
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Efficiency in Language Understanding and Generation: An Evaluation of Four Open-Source Large Language Models
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Context is King: From Prompt Engineering to Context Engineering in Healthcare AI
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AI Runtime Infrastructure: Establishing a Foundational Layer for Distributed AI Systems
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Rethinking I/O Caching for Large Language Model Inference on Resource-Constrained Mobile Platforms
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Reducing LLM Hallucination Using Knowledge Distillation: A Case Study with Mistral Large and MMLU Benchmark
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Melhorando a Eficiência Energética na Execução de LLMs via Controle de Potência de GPUs Orientado por SLAs
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