Multi-Gpu Systems

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Period ending 2026-09-21

8 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

10 new papers

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274 papers

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  1. Certified geometric robustness -- Super-DeepG

    Apr 27, 2026Noémie Cohen, Mélanie Ducoffe, Christophe Gabreau +2Geometric Deep LearningRectification

  2. FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost

    Apr 27, 2026Chenhao Feng, Haoli Zhang, Shakhzod Ali-Zade +17ScalabilitySingle Graphics Processing Unit

  3. Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

    Apr 25, 2026Divakar Kumar Yadav, Tian Zhao, Deepak KumarGraphics Processing Unit KernelsConsumer Graphics Processing Units

  4. MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches

    Apr 24, 2026Xin Wang, Chi Ma, Shaobin Chen +14Large-Scale Recommendation SystemsGraphics Processing Unit Memory

  5. Stream-CQSA: Exact Out-of-Memory Recovery for Attention

    Apr 22, 2026Yiming Bian, Joshua M. AkeyGraphics Processing Unit Memory

  6. LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction

    Apr 22, 2026Enshuai Zhou, Yifan Hao, Chao Wang +7Key-Value Cache CompressionLarge Language Model Compression

  7. TrEEStealer: Stealing Decision Trees via Enclave Side Channels

    Apr 20, 2026Jonas Sander, Anja Rabich, Nick Mahling +5Side-Channel AnalysisTransformation-Based Attacks

  8. AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization

    Apr 20, 2026Kosuke Matsushima, Yasuyuki Okoshi, Masato Motomura +1Graphics Processing Unit MemoryLLM Inference Efficiency

  9. M100: An Orchestrated Dataflow Architecture Powering General AI Computing

    Apr 20, 2026Yan Xie, Changkui Mao, Changsong Wu +34Artificial Intelligence InfrastructureMulti-Gpu Systems

  10. DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization

    Apr 20, 2026Haokun Lin, Xinle Jia, Haobo Xu +7W4A4 QuantizationQuantization

  11. Predictive Multi-Tier Memory Management for KV Cache in Large-Scale GPU Inference

    Apr 19, 2026Sanjeev Rao GanjihalKey-Value CacheGraphics Processing Unit Memory

  12. Privatar: Scalable Privacy-preserving Multi-user VR via Secure Offloading

    Apr 19, 2026Jianming Tong, Hanshen Xiao, Krishna Kumar Nair +5Virtual RealityDifferential Privacy

  13. UCCL-Zip: Lossless Compression Supercharged GPU Communication

    Apr 19, 2026Shuang Ma, Chon Lam Lao, Zhiying Xu +8Multi-Gpu SystemsLarge Language Model Compression

  14. Reducing Peak Memory Usage for Modern Multimodal Large Language Model Pipelines

    Apr 17, 2026Junwan Kim, Hyunkyung BaeMulti-Modal Large Language ModelsLLM Inference Efficiency

  15. Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs

    Apr 17, 2026Jun-Liang Lin, Kamesh Madduri, Mahmut Taylan KandemirMulti-Gpu SystemsParallel

  16. Lossless Compression via Chained Lightweight Neural Predictors with Information Inheritance

    Apr 16, 2026Yuriy Kim, Evgeny BelyaevContext CompressionPredictive Coding

  17. The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference

    Apr 16, 2026Ranjith Chodavarapu, Lei XuSystematic Fp16 DivergenceKey-Value Cache Quantization

  18. Dispatch-Aware Ragged Attention for Pruned Vision Transformers

    Apr 16, 2026Seifeldin Abdellatif, Ahmad AlmasriVisual Token PruningSelf-Supervised Vision Transformers

  19. DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance

    Apr 16, 2026Kathiravan PalaniappanMulti-Gpu SystemsNvidia Nemotron

  20. Pushing the Limits of On-Device Streaming ASR: A Compact, High-Accuracy English Model for Low-Latency Inference

    Apr 16, 2026Nenad Banfic, David Fan, Kunal Vaishnavi +5Real-Time InferenceZero-Shot Text-To-Speech

  21. TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration

    Mar 29, 2026Guoli Jia, Yisheng Zhang, Haote Hu +11Image RestorationTraining-Free Inference Framework

  22. An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU

    Mar 17, 2026Ruijia Yang, Zeyi WenLarge Language Model Fine-TuningMulti-Gpu Systems

  23. ReCoSplat: Online Feed-Forward Gaussian Splatting via Render-and-Compare

    Mar 10, 2026Freeman Cheng, Botao Ye, Xueting Li +3Novel View SynthesisFeed-Forward 3D Gaussian Splatting

  24. RoboGPU: Accelerating GPU Collision Detection for Robotics

    Mar 2, 2026Lufei Liu, Liwei Xue, Yuan Hsi Chou +4Collision PredictionRobotics

  25. Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving

    Feb 27, 2026Ferran Agullo, Joan Oliveras, Chen Wang +5Large Language Model ServingSingle Graphics Processing Unit

  26. DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers

    Feb 2, 2026Ionut-Vlad Modoranu, Philip Zmushko, Erik Schultheis +2Spectral PreconditioningNewton

  27. DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space

    Sep 29, 2025Wenkun He, Yuchao Gu, Junyu Chen +11Text-To-Image Diffusion ModelsImage Generation

  28. GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2

    Sep 17, 2025Savini Kashmira, Jayanaka Dantanarayana, Thamirawaran Sathiyalogeswaran +3PytorchHeterogeneous Graph Transformers

  29. FastTrack: GPU-Accelerated Tracking for Visual SLAM

    Sep 13, 2025Kimia Khabiri, Parsa Hosseininejad, Shishir Gopinath +2Orb-Slam2Simultaneous Localization And Mapping

  30. Saving GPU Hours in LLM Inference System Development and Online Workloads with Simulation and DBMS-Inspired Cache Replacement Policies

    Nov 12, 2024Kyoungmin Kim, Jiacheng Li, Kijae Hong +3LLM Inference EfficiencyInference Workloads

  31. Accelerating Stateful Network Applications with Performance Prediction on SoC SmartNICs

    Oct 29, 2024Shaoke Xi, Jiaqi Gao, Fuliang Li +2WorkloadNvidia Nemotron

  32. UltraQuant: 4-bit KV Caching for Context-Heavy Agents

    Date pendingInesh Chakrabarti, David Limpus, Aditi Ghai Rana +4Key-Value Cache QuantizationKey-Value Cache Compression

  33. LLM Compression by Block Removal with Constrained Binary Optimization

    Date pendingDavid Jansen, Roman Rausch, Ali Hashemi +2Large Language Model CompressionRemoval

  34. FP8 is All You Need (Part 2): Full-FP64 3-D FFT on FP8-Generation Tensor CoresThe Integer-Epilogue Wall and the Minimal Hardware That Would Remove It

    Date pendingSatoshi MatsuokaFp8Tensor Programs