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        • SpotServe: Serving generative large language models on preemptible instances
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        • Interference-aware multiplexing for deep learning in GPU clusters: A middleware approach
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        • UGache: A unified GPU cache for embedding-based deep learning
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        • Accelerating Distributed MoE Training and Inference with Lina
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        • Beware of Fragmentation: Scheduling GPU-Sharing Workloads with Fragmentation Gradient Descent
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        • Shepherd: Serving DNNs in the wild
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        • Shockwave: Fair and efficient cluster scheduling for dynamic adaptation in machine learning
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        • TPP: Transparent page placement for CXL-enabled tiered-memory
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        • PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training
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        • Whale: Efficient Giant Model Training over Heterogeneous GPUs
        • DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Service...
        • Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing
        • SOTER: Guarding Black-box Inference for General Neural Networks at the Edge
        • Direct access, high-performance memory disaggregation with DirectCXL
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        • Orca: A distributed serving system for transformer-based generative models
        • Microsecond-scale preemption for concurrent GPU-accelerated DNN inferences
        • Looking beyond GPUs for DNN scheduling on multi-tenant clusters
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        • Slashing the disaggregation tax in heterogeneous data centers with FractOS
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        • Zico: Efficient GPU memory sharing for concurrent DNN training
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        • Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning
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        • HeMem: Scalable Tiered Memory Management for Big Data Applications and Real NVM
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        • Take it to the limit: Peak prediction-driven resource overcommitment in datacenters
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        • From cloud computing to sky computing
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        • A unified architecture for accelerating distributed DNN training in heterogeneous GPU/CPU clusters
        • HiveD: Sharing a GPU cluster for deep learning with guarantees
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        • Serverless in the wild: Characterizing and optimizing the serverless workload
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        • Elastic Parameter Server Load Distribution in Deep Learning Clusters
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        • KubeShare: A framework to manage GPUs as first-class and shared resources in container cloud
      • CLUSTER 2019
      • EuroSys 2019
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      • IWQoS 2019
        • Who limits the resource efficiency of my datacenter: An analysis of Alibaba datacenter traces
      • SIGCOMM 2018
        • Revisiting network support for RDMA
      • OSDI 2018
        • Ray: A distributed framework for emerging AI applications
      • EuroSys 2018
        • Medea: Scheduling of long running applications in shared production clusters
      • ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
        • GaiaGPU: Sharing GPUs in container clouds
      • SoCC 2017
        • SLAQ: Quality-driven scheduling for distributed machine learning
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        • Neurosurgeon: Collaborative intelligence between the cloud and mobile edge
      • NSDI 2017
        • Clipper: A low-latency online prediction serving system
      • CLUSTER 2014
        • Evaluating job packing in warehouse-scale computing
    • Journal
      • IEEE Transactions on Cloud Computing
        • 2021
          • Gemini: Enabling multi-tenant GPU sharing based on kernel burst estimation
      • ACM Computing Surveys
        • 2017
          • GPU virtualization and scheduling methods: A comprehensive survey
      • ACM SIGCOMM Computer Communication Review (CCR)
        • 2021
          • Data-driven Networking Research: models for academic collaboration with industry
        • 2007
          • How to Read a Paper
      • Communications of the ACM
        • 2015
          • Why Google stores billions of lines of code in a single repository
    • Miscellaneous
      • arXiv
        • 2024
          • Efficiently programming large language models using SGLang
        • 2023
          • HexGen: Generative inference of foundation model over heterogeneous decentralized environment
          • High-throughput generative inference of large language models with a single GPU
        • 2022
          • DisaggRec: Architecting disaggregated systems for large-scale personalized recommendation
          • A case for disaggregation of ML data processing
          • Singularity: Planet-scale, preemptive and elastic scheduling of AI workloads
          • Aryl: An elastic cluster scheduler for deep learning
        • 2016
          • Wide & deep learning for recommender systems
          • Training deep nets with sublinear memory cost
      • MSR Technical Report
        • 2011
          • Heuristics for vector bin packing
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  1. Paper List
  2. Artificial Intelligence (AI)

Language Models

Last updated 9 months ago

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  • Grok-2 []

    • xAI

    • Grok-2 Beta was released on 2024/08/13.

  • Gemma 2: Improving Open Language Models at a Practical Size (arXiv:2408.00118) [] []

    • Gemma Team, Google DeepMind

    • Gemma 2

    • Models:

  • The Llama 3 Herd of Models (arXiv:2407.21783) [] [] []

    • MetaAI

    • Llama 3

    • Models

      • Llama 3 8B:

      • Llama 3 70B

      • Llama 3 405B

  • Mixtral 8x7B (arXiv:2401.04088) [] [] []

    • Mistral AI

    • Mixtral 8x7B

    • Model:

  • Llama 2: Open Foundation and Fine-Tuned Chat Models (arXiv 2307.09288) [] []

    • Meta AI

    • Llama 2

    • Released with a permissive community license and is available for commercial use.

  • LLaMA: Open and Efficient Foundation Language Models (arXiv 2302.13971) [] []

    • Meta AI

    • 6.7B, 13B, 32.5B, 65.2B

    • Open-access

  • PaLM: Scaling Language Modeling with Pathways (JMLR 2023) [] []

    • 540B; open access to PaLM APIs in March 2023.

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (arXiv 2211.05100) [] [] []

    • 176B

    • open-access

  • OPT: Open Pre-trained Transformer Language Models (arXiv: 2205.01068) [] []

    • Meta AI

    • Range from 125M to 175B parameters.

    • Open-access

Blog
arXiv
Code
https://www.kaggle.com/models/google/gemma
arXiv
Blog
Code
https://huggingface.co/meta-llama/Meta-Llama-3-8B
arXiv
Blog
Code
https://huggingface.co/mistralai/Mixtral-8x7B-v0.1
Paper
Homepage
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Paper
PaLM API
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Code