Graphics Processing Unit Architectures

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4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Dynamic Flow, Static Graph: KV Cache Reuse for Efficient LLM Serving on Mobile NPUs

    Sep 28, 2026Zhengxiang Huang, Shengheng Chen, Chaoyue Niu +6Kv-Cache ManagementNeural Processing Units

    Shanghai Jiao Tong University Shanghai, China · Alibaba Group Hangzhou, China · Alibaba Group Hangzhou, Zhejiang, China

  2. Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

    Sep 22, 2026Liam Cooper, Shinnung Jeong, Hyeran Jeon +2LLM Inference OptimizationFloating-Point

    Georgia Institute of Technology · University of California, Merced

  3. Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs

    Sep 11, 2026Joseph Kanichai, Tiziano De Matteis, Animesh TrivediKv-Cache ManagementKey-Value Cache

    Vrije Universiteit Amsterdam Amsterdam, the Netherlands · IBM Research Zurich Zurich, Switzerland

  4. Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving

    Sep 11, 2026Jae Gon Kim, Donghoon Yoo, Hanyul Ryu +3Graphics Processing Unit ArchitecturesOptimal Power Shutoff

    Xenoscube, Inc.

  5. PTXBench: Benchmarking and Adapting LLMs for GPU Kernel Optimization with Architecture-specific PTX

    Aug 18, 2026Genghan Zhang, Yixin Dong, Chengze Fan +4Graphics Processing Unit KernelsGraphics Processing Unit Architectures

    Stanford University · Carnegie Mellon University · Independent Researcher +1

  6. TEMPO: Makespan-Aware Expert-Parallel Load Balancing Across Memory- and Compute-Bound Regimes

    Aug 13, 2026Jie Li, Chenxin Jia, Jinliang Shen +5Load BalancingCpu-Gpu Hybrid Designs

    KlingAI Research

  7. Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation

    Aug 6, 2026Alfred M. Pastor, Maribel Castillo, Jose M. BadiaTensor NetworksQuantum Circuits

    Department of Computer Science, Universitat de València, 46100 Burjassot, Spain · Department of Computer Science and Engineering, Universitat Jaume I, 12071 Castelló de la Plana, Spain

  8. Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniCommunity DetectionTemporal Graph Neural Networks

    University of Pisa, Dept. of Computer Science, 56127 Pisa PI, Italy · National Research Council, 56124 Pisa PI, Italy

  9. Stuck on "A": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model

    Aug 3, 2026Ronglong BaoDataset DistillationQwen3

    DT-Project

  10. From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs

    Jul 29, 2026Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis +5LLM Inference OptimizationEnergy Consumption

    1National Technical University of Athens, Patission Complex 42, 10682 Athens, Greece · 2Harvard University, 1350 Massachusetts Avenue, 02138 Cambridge, MA, USA · 3TWT GmbH Science & Innovation, Industriestraße 6, 70565 Stuttgart, DE +4

  11. Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet

    Jul 27, 2026Eliseo CurcioLarge Language Model TrainingOptimal Power Shutoff

    Advanced Department of Artificial Intelligence and Energy – New York

  12. Rendering 3D Gaussians on a Graph Processor

    Jul 17, 2026Nicholas Fry, Ignacio Alzugaray, Mark Pupilli +23D GaussianGraphics Processing Unit Architectures

    Imperial College London, Department of Computing · Independent Researcher

  13. Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management

    Jul 14, 2026Xi Cheng, Ke Liu, Siyuan Feng +2Wireless Foundation ModelsFoundation Model

    Cornell University, Ithaca, NY, USA. · University of California, Berkeley, CA, USA. · The Hong Kong Polytechnic University, Hong Kong SAR. +1

  14. Microcosmos: Reimagining Artificial Life for the GPU Era

    Jul 3, 2026Mark Tensen, Ciaran Regan, Bert Wang-Chak Chan +3Physics SimulationEvolutionary Optimization Methods

    1Artificial Life Institute, Japan · 2Sakana AI, Japan · University of Tsukuba, Japan +2

  15. WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

    Jul 2, 2026Mauricio Fadel Argerich, Jonathan Fürst, Marta Patiño-MartínezGraphics Processing Unit ArchitecturesLLM Inference Optimization

    Universidad Politécnica de Madrid, C. de los Ciruelos, 28660 Boadilla del Monte, Madrid, Spain · Zurich University of Applied Sciences, Gertrudstrasse 15, 8400 Winterthur, Switzerland

  16. Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

    Jun 17, 2026Ruiqi Lai, Dakai An, Wei Gao +6Diffusion-Based Reinforcement Learning MethodsReinforcement Learning Post-Training

    NTU Singapore · Hong Kong University of Science and Technology · Alibaba Group

  17. ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling

    Jun 9, 2026William Won, Jinsun Yoo, Tuan Ta +16Graphics Processing Unit ArchitecturesHardware Efficiency

    AMD Research and Advanced Development · Georgia Institute of Technology · Keysight +1

  18. The Energy Blind Spot: NVIDIA's Flagship Edge AI Hardware Cannot Support Process-Level Energy Attribution

    May 26, 2026Deepak Panigrahy, Aakash TyagiNvidiaGraphics Processing Unit Architectures

    Independent Researcher Bentonville, USA · Texas A&M University Dept. of Computer Science and Engineering College Station, Texas, USA

  19. PALS: Power-Aware LLM Serving for Mixture-of-Experts Models

    May 20, 2026Can Hankendi, Rana Shahout, Minlan Yu +1LLM Inference OptimizationGraphics Processing Unit Architectures

    Boston University · Electrical and Computer Engineering Department · Boston, MA, USA +3

  20. Efficient Training on Multiple Consumer GPUs with RoundPipe

    Apr 29, 2026Yibin Luo, Shiwei Gao, Huichuan Zheng +2Cpu-Gpu Hybrid DesignsGraphics Processing Unit Architectures

    Tsinghua University Beijing, China

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

    Apr 25, 2026Divakar Kumar Yadav, Tian Zhao, Deepak KumarCudaGraphics Processing Unit Architectures

    University of Wisconsin–Milwaukee Milwaukee, WI, USA · Illinois Institute of Technology Chicago, IL, USA

  22. FastTrack: GPU-Accelerated Tracking for Visual SLAM

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

    Simon Fraser University · University at Buffalo