Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended | Paper Citation Record

Observation 58be9c57-58c9-4bc0-9f23-453c20e8f45a · outbound

This paper cites https: //docs.nvidia.com/cuda/cuda-c-programming-guide#compressible- memory.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https: //docs.nvidia.com/cuda/cuda-c-programming-guide#compressible- memory

Reference 1

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Observation 480b1c84-24c2-46a0-825c-395fcf9625ae · outbound

This paper cites https://docs.nvidia.com/cuda/cuda-c-programming-guide/#device- memory-accesses.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://docs.nvidia.com/cuda/cuda-c-programming-guide/#device- memory-accesses

Reference 2

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This paper cites https://docs.nvidia.com/cuda/cuda-c-programming- guide/#hardware-implementation.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://docs.nvidia.com/cuda/cuda-c-programming- guide/#hardware-implementation

Reference 3

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This paper cites https://docs.nvidia.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://docs.nvidia

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This paper cites https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ dle/models/dlrm_base_tf2_ckpt_ds-criteo-fl15.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ dle/models/dlrm_base_tf2_ckpt_ds-criteo-fl15

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This paper cites https:// developer.nvidia.com/nvcomp.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https:// developer.nvidia.com/nvcomp

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Unresolved cited work

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This paper cites https://resources.nvidia.com/en-us- tensor-core/nvidia-tensor-core-gpu-datasheet.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://resources.nvidia.com/en-us- tensor-core/nvidia-tensor-core-gpu-datasheet

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This paper cites https://images.nvidia.com/content/ technologies/volta/pdf/volta-v100-datasheet-update-us-1165301- r5.pdf.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://images.nvidia.com/content/ technologies/volta/pdf/volta-v100-datasheet-update-us-1165301- r5.pdf

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This paper cites https://www.nvidia.com/en-in/data-center/ nvlink/.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://www.nvidia.com/en-in/data-center/ nvlink/

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This paper cites https://labs.criteo.com/2013/12/download- terabyte-click-logs-2/.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended https://labs.criteo.com/2013/12/download- terabyte-click-logs-2/

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Observation fc2e4bdc-ca83-411b-bb8d-6dfa9371be66 · outbound

This paper cites Understanding training efficiency of deep learning recommendation models at scale.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Understanding training efficiency of deep learning recommendation models at scale

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This paper cites Accelerating gpu data processing using fastlanes compression.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Accelerating gpu data processing using fastlanes compression

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This paper cites Bagpipe: Accelerating deep recommendation model training.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Bagpipe: Accelerating deep recommendation model training

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This paper cites Graph neural network training systems: A performance comparison of full-graph and mini-batch.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Graph neural network training systems: A performance comparison of full-graph and mini-batch

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This paper cites Aware: Workload-aware, redundancy-exploiting linear algebra.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Aware: Workload-aware, redundancy-exploiting linear algebra

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Observation 789f85ef-ebca-4da1-b721-e1a34d2b3bea · outbound

This paper cites Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking

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Observation 3abfc8c3-2f8a-427a-9b8f-9b01c21cd119 · outbound

This paper cites Molecular generative graph neural networks for drug discovery.Neurocomputing, 450:242–252, 2021.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Molecular generative graph neural networks for drug discovery.Neurocomputing, 450:242–252, 2021

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Observation 7d4e8955-bfff-4347-94b6-fcd9a52d7157 · outbound

This paper cites Fcbench: Cross-domain benchmarking of lossless compression for floating-point data.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Fcbench: Cross-domain benchmarking of lossless compression for floating-point data

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This paper cites Learned image compression with discretized gaussian mixture likeli- hoods and attention modules.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Learned image compression with discretized gaussian mixture likeli- hoods and attention modules

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This paper cites The trade-offs of model size in large recommendation models : 100gb to 10mb criteo-tb dlrm model.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended The trade-offs of model size in large recommendation models : 100gb to 10mb criteo-tb dlrm model

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Gpt3.int8(): 8-bit matrix multiplication for transformers at scale

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Qlora: Efficient finetuning of quantized llms

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Observation 05a7fad3-6c85-4f36-99cf-b3fba532ce35 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Accuracy is not all you need

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Haas, Frederick R

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Zipserv: Fast and memory-efficient llm inference with hardware-aware lossless compression

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended A Frequency-aware Software Cache for Large Recommendation System Embeddings

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Sahu, Marco Canini, and Amedeo Sapio

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Mahoney, and Kurt Keutzer

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Lee, David Brooks, and Carole- Jean Wu

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Inductive representa- tion learning on large graphs

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended How to optimize data transfers in cuda c/c++

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Natural compression for distributed deep learning

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Open graph benchmark: Datasets for machine learning on graphs

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Unresolved cited work

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Grow: A row-stationary sparse-dense gemm accelerator for memory-efficient graph convolutional neural networks

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended An extended compression format for the optimization of sparse matrix-vector multiplication.IEEE Trans- actions on Parallel and Distributed Systems , 24(10):1930–1940, October 2013

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Tensorfloat-32 in the a100 gpu accelerates ai training, hpc up to 20x

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Datasets for benchmarking floating-point compressors, 2020

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended ndzip-gpu: ef- ficient lossless compression of scientific floating-point data on gpus

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Webb, Xin Wang, Marcel Nassar, Arjun K

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Splitrpc: A Control + Data path splitting rpc stack for ml inference serving

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Efficient memory management for large language model serving with pagedattention

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended InfiniGen: Efficient generative inference of large language models with dynamic KV cache management

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Naughton, and Jignesh M

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Colossal-ai: A unified deep learning system for large-scale parallel training

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Unresolved cited work

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Recoil: Parallel rans decoding with decoder-adaptive scalability

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Using cuda warp-level primitives

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Pa- graph: Scaling gnn training on large graphs via computation-aware caching

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Indigo: Gnn-based inductive knowledge graph completion using pair-wise encoding

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended BGL: GPU-Efficient GNN training by optimizing graph data I/O and preprocessing

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Pick and choose: A gnn-based imbalanced learning approach for fraud detection

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Cachegen: Kv cache compression and streaming for fast large language model serving

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Dvc: An end-to-end deep video compression framework

Reference 59

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Reference 60

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Reference 61

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Observation 53c41487-f68c-4495-8354-554d37f3d024 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Emogi: efficient memory- access for out-of-memory graph-traversal in gpus

Reference 62

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Reference 63

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Observation a40dea05-0faf-480b-855c-9f5d5ae8d850 · outbound

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Reference 64

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Query-driven active surveying for collective classification

Reference 65

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Observation a783d1e3-caea-43f3-ad0a-34df0e53354b · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Patel, Yao Zhang, Jason Mak, Andrew Davidson, and John D

Reference 66

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Observation d23c0cfd-cc64-49aa-93f4-70d90dca7ff1 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Gpu-initiated on-demand high-throughput storage access in the BaM system architecture

Reference 67

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Reference 68

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Reference 69

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Collective classification in network data

Reference 70

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Scalable graph neural network training: The case for sampling

Reference 71

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Observation 31c0e8c1-c916-442d-bc98-09c0c76c1955 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Yogatama, Xiangyao Yu, and Samuel Madden

Reference 72

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended FlexGen: High-throughput generative inference of large language mod- els with a single GPU

Reference 73

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Observation dff30bca-721a-445c-bbfc-4963b008c41c · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Ugache: A unified gpu cache for embedding-based deep learning

Reference 74

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Observation 649b7f85-b853-4efb-b489-f0fee07b7797 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Roformer: Enhanced transformer with rotary position embedding

Reference 75

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Legion: Automatically pushing the envelope of Multi-GPU system for Billion- Scale GNN training

Reference 76

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Controlling data move- ment to boost performance on the nvidia ampere architec- ture

Reference 77

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Observation 8789fc65-98b0-4656-9cf7-eea646aaa210 · outbound

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Reference 78

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This paper cites Attention is all you need.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Attention is all you need

Reference 79

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Mariusgnn: Resource-efficient out-of-core training of graph neural networks

Reference 80

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Observation 4931efc0-0154-4b32-ac72-10a779bb8be0 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended ZeRO++: Extremely Efficient Collective Communication for Large Model Training

Reference 81

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 82

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Observation da586fe3-1ab0-4b7a-a99d-78cd59d14e5f · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Bfloat16: The secret to high per- formance on cloud tpus

Reference 83

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Observation 161265b2-6c2f-4a08-9bf7-aab0bd0725e6 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended A gpu-specialized inference parameter server for large-scale deep recommendation models

Reference 84

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Massively parallel inverse block-sorting transforms for bzip2 decompression on gpus

Reference 85

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Observation 8bb53cea-deb6-4830-9a7e-aa3763d5216c · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended MLaaS in the wild: Workload analysis and scheduling in Large-Scale heterogeneous GPU clusters

Reference 86

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Widrow, I

Reference 87

Resolution: unresolved; no resolver link, observed 2026-06-28T23:31:27.783419Z

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Observation b088b425-1ec4-4f1a-8d78-9d937a094051 · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Abdelmoniem, Aritra Dutta, El Houcine Bergou, Konstantinos Karatsenidis, Marco Canini, and Panos Kalnis

Reference 88

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Mpc: A massively parallel compression algorithm for scientific data

Reference 89

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Gnnlab: a factored system for sample-based gnn training over gpus

Reference 90

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Lossy image compression with conditional diffusion models

Reference 91

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Spargnn: Efficient joint feature-model sparsity exploitation in graph neural network acceleration

Reference 92

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Reference 93

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators

Reference 94

Resolution: unresolved; no resolver link, observed 2026-06-28T23:31:27.783419Z

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended OPT: Open Pre-trained Transformer Language Models

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:32:46.931201Z

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Observation b2dfe8ad-33e0-41a5-a700-4c19e1ebb98f · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended 70% size, 100% accuracy: Lossless LLM compression for efficient GPU inference via dynamic- length float (DFloat11)

Reference 96

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Observation 942f0507-fa9a-4a9a-9730-f7b5dc42558d · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Ducati: A dual- cache training system for graph neural networks on giant graphs with the gpu

Reference 97

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Observation 08442e00-035e-479c-a085-b7b29f8f283e · outbound

This paper cites H2o: heavy-hitter oracle for efficient generative inference of large language models.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended H2o: heavy-hitter oracle for efficient generative inference of large language models

Reference 98

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Observation 54eaea14-c732-4b68-81c6-b33253925b5f · outbound

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Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Silod: A co-design of caching and scheduling for deep learning clusters

Reference 99

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Observation 95e2f71d-3e78-405c-bfad-436a4651580c · outbound

This paper cites Atom: Low-bit quantization for efficient and accurate llm serving.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Atom: Low-bit quantization for efficient and accurate llm serving

Reference 100

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Observation d4739a5d-6675-43b4-b467-68655052e63a · outbound

This paper cites ${CONDA_PREFIX}.

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended ${CONDA_PREFIX}

Reference 101

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