Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs | Paper Citation Record

Observation 975457dc-9204-4395-8c44-09011c4f3e12 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 1

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 2

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This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 3

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This paper cites vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training

Reference 4

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This paper cites Deepbench: Benchmarking json document stores,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Deepbench: Benchmarking json document stores,

Reference 5

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This paper cites Language models are few-shot learners,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Language models are few-shot learners,

Reference 6

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This paper cites Aws trainium: The journey for designing and optimization full stack ml hardware,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Aws trainium: The journey for designing and optimization full stack ml hardware,

Reference 7

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs CS-3 System,

Reference 8

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Observation dcfca20f-d33d-4e93-839c-571db128b570 · outbound

This paper cites TVM: An Automated End-to-End Optimizing Compiler for Deep Learning.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Reference 9

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Observation d018ef79-24e6-4a0c-bbc2-607818b6f872 · outbound

This paper cites Llmservingsim: A simulation infrastructure for llm inference serving systems.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Llmservingsim: A simulation infrastructure for llm inference serving systems

Reference 10

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Observation 1c28aec7-d1cd-457a-96cb-29c4f3c56ea3 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs PaLM: Scaling Language Modeling with Pathways

Reference 11

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Observation bd9c2cd4-b437-49d6-ba13-037fa9887cfe · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 12

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Observation df3c1376-69b5-4510-82b3-091366234152 · outbound

This paper cites (2025, Feb.) Deepseek v3/r1 inference system overview.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs (2025, Feb.) Deepseek v3/r1 inference system overview

Reference 13

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Observation 588f51db-2474-4f7f-b5ab-1f37dfe726fa · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,

Reference 14

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Observation 5dd8bbee-eb49-428c-a136-84bf4955be46 · outbound

This paper cites Deepseek-v3 technical report,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Deepseek-v3 technical report,

Reference 15

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Observation 27d613b0-1a54-4ccf-b71d-6260a883f0bf · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 16

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This paper cites Proteus: Simulating the performance of distributed dnn training,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Proteus: Simulating the performance of distributed dnn training,

Reference 17

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This paper cites DeepSeek-V3 Technical Report.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs DeepSeek-V3 Technical Report

Reference 18

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Observation 8a9f9172-58e4-4bf4-993f-7ea089a8ce94 · outbound

This paper cites Zamba: A Compact 7B SSM Hybrid Model.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Zamba: A Compact 7B SSM Hybrid Model

Reference 19

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Observation f20adffd-0b6e-4a3a-8efd-5b1eafa11e81 · outbound

This paper cites The llama 3 herd of models,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs The llama 3 herd of models,

Reference 20

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This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

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Observation b628937c-9f23-49d8-a535-a5de8a1ab5d7 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 22

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This paper cites PipeDream: Fast and Efficient Pipeline Parallel DNN Training.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs PipeDream: Fast and Efficient Pipeline Parallel DNN Training

Reference 23

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This paper cites Nemo: a toolkit for conversational ai and large language models,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Nemo: a toolkit for conversational ai and large language models,

Reference 24

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This paper cites Mad-max beyond single-node: Enabling large machine learning model acceleration on distributed systems,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mad-max beyond single-node: Enabling large machine learning model acceleration on distributed systems,

Reference 25

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Reference 26

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This paper cites Accelerate: Training and inference at scale made simple, efficient and adaptable.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Accelerate: Training and inference at scale made simple, efficient and adaptable

Reference 27

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This paper cites Beyond Data and Model Parallelism for Deep Neural Networks.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Beyond Data and Model Parallelism for Deep Neural Networks

Reference 28

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mistral 7B

Reference 29

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Observation 920d2d2d-0e83-4006-8cfb-3f816f80bab7 · outbound

This paper cites Mixtral of Experts.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mixtral of Experts

Reference 30

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This paper cites Scaling Laws for Neural Language Models.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Scaling Laws for Neural Language Models

Reference 31

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This paper cites Calculon: a methodology and tool for high-level co-design of systems and large language models,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Calculon: a methodology and tool for high-level co-design of systems and large language models,

Reference 32

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This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 33

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Reference 34

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This paper cites Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

Reference 35

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Lumos: Efficient Performance Modeling and Estimation for Large-scale LLM Training

Reference 36

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Reducing Activation Recomputation in Large Transformer Models

Reference 37

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This paper cites (2025, Apr.) The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs (2025, Apr.) The llama 4 herd: The beginning of a new era of natively multimodal ai innovation

Reference 38

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Chakra working group,

Reference 39

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Chakra schema,

Reference 40

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This paper cites Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures

Reference 41

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This paper cites Jamba: A hybrid transformer-mamba language model,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Jamba: A hybrid transformer-mamba language model,

Reference 42

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Jamba: A Hybrid Transformer-Mamba Language Model

Reference 43

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Nvidia nemo - open-source toolkit for conversational ai,

Reference 44

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Cuda profiling tools interface (cupti),

Reference 45

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs NVIDIA HGX Platform,

Reference 46

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Tensor-train decomposition,

Reference 47

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Dnnfusion: accelerating deep neural networks execution with advanced operator fusion,

Reference 48

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Nvidia cupti - cuda profiling tools interface,

Reference 49

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Kineto: Performance profiling library for pytorch,

Reference 50

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This paper cites Zero: Memory optimizations toward training trillion parameter models,.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Zero: Memory optimizations toward training trillion parameter models,

Reference 51

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models,

Reference 52

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs MLPerf Inference Benchmark

Reference 53

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 54

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Pytorch profiler recipe,

Reference 55

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This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 56

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This paper cites Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces.

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

Reference 57

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Kineto: A cpu+gpu profiling library for pytorch,

Reference 58

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

Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs LLaMA: Open and Efficient Foundation Language Models

Reference 59

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python

Reference 60

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Param: A trace abstraction for ml workloads,

Reference 61

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Attention Is All You Need

Reference 63

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Rail- only: A Low-Cost High-Performance Network for Training LLMs with Trillion Parameters ,

Reference 64

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs SimAI: Unifying architecture design and performance tuning for Large-Scale large language model training with scalability and precision,

Reference 65

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Unity: Accelerating DNN training through joint optimization of algebraic transformations and parallelization,

Reference 66

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Reference 67

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Optimizing deep learning inference via global analysis and tensor expressions,

Reference 68

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Apollo: Automatic partition-based operator fusion through layer by layer optimization,

Reference 69

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Pytorch fsdp: Experiences on scaling fully sharded data parallel,

Reference 70

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Mist: Efficient distributed training of large language models via memory-parallelism co-optimization,

Reference 71

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Astra-sim2. 0: Modeling hierarchical networks and disaggregated systems for large-model training at scale,

Reference 72

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale

Reference 73

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Available: https://proceedings.mlsys.org/paper files/paper/ 2022/file/e175e8a86d28d935be4f43719651f86d-Paper.pdf

Reference 76

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 78

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Resiliency at scale: Managing Google’s TPUv4 machine learning supercomputer,

Reference 80

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Language Models are Few-Shot Learners

Reference 2020

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs Proteus: Simulating the Performance of Distributed DNN Training

Reference 2023

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs The Llama 3 Herd of Models

Reference 2024

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Scalable Synthesis of distributed LLM workloads through Symbolic Tensor Graphs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

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