GPU Acceleration

GPU: Graphics Processing Unit

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7 papers in the last four weeks, up 75% on the four weeks before. 0.1% of all new papers.

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  1. GPU-Accelerated Path-Dependent Marginal Information Gain for Autonomous Exploration

    Sep 30, 2026João Félix Mendes, Rodrigo Ventura, Meysam BasiriGPU AccelerationRobot Navigation

    Institute for Systems and Robotics, Department of Electrical and Computer Engineering, Instituto Superior Técnico, Lisboa, Portugal

  2. Beneath the Tokens: A Performance Engineering Study of Multi-Token Prediction in GPU-Accelerated LLM Inference

    Sep 28, 2026Suwesh Prasad SahLLM Inference EfficiencyMulti-Token Prediction

  3. E3J: An Efficient and Open-Source Backend for Euclidean Equivariant Operations on GPU and TPU

    Sep 28, 2026Olivier Peltre, Armand Picard, Adrien Pichard +6AI Accelerator InferenceGPU Kernel Optimization

    InstaDeep · Prima Mente

  4. Exact Factorisation and Fast Computation of Invertible Constant-Q Transforms

    Sep 24, 2026Facundo Franchino, Eloi Moliner, Vesa VälimäkiGPU Acceleration

    Massachusetts Institute of Technology, Cambridge, MA, USA · Acoustics Lab, Dept. of Information and Communications Eng., Aalto University, Espoo, Finland

  5. One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training

    Sep 14, 2026Erik Schultheis, Maximilian Kleinegger, Dan AlistarhEnergy-Efficient MLGPU Acceleration

    ISTA · TU Wien · RedHat AI

  6. Dissecting GPU Utilization for LLM Inference on Nvidia Hopper

    Sep 14, 2026Mohammad Siavashi, Gerald Q. Maguire Jr., Dejan Kostic +1LLM Inference EfficiencyGPU Acceleration

    KTH Royal Institute of Technology, Stockholm, Sweden

  7. GPU-CFR: 80x Faster Counterfactual Regret Minimization by Compiling the Game to Static Dataflow and CUDA Graph Replay

    Sep 12, 2026Boning Li, Longbo HuangGPU Kernel OptimizationGPU Acceleration

    Institute for Interdisciplinary Information Sciences, Tsinghua University

  8. Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming

    Sep 3, 2026Hao Mao, Xu Tony Liu, Shuai Lu +3GPU AccelerationGenetic Programming

    The Hong Kong Polytechnic University, Hong Kong SAR, China · University of Washington, USA · Amazon Web Services, USA +4

  9. GRADSOLVE: fast exact gradients for ODE ensembles on GPUs

    Sep 2, 2026Alessio Spurio ManciniGPU Acceleration

    Department of Physical Sciences and Engineering, Royal Holloway, University of London, Egham Hill, Egham TW20 0EX, United Kingdom

  10. Semantics-Guided Automatic Tensorization for Multiobjective Evolutionary Algorithms: A Multi-Agent Framework

    Sep 2, 2026Zhenyu Liang, Beichen Huang, Bowen Zheng +1Multi-Objective Evolutionary OptimizationGPU Acceleration

    Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China; the Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, Guangdong, China; and the Hong Kong Polytechnic University-Daya Bay Technology and Innovation Research Institute, Huizhou 516083, Guangdong, China

  11. A Feature-Major Codebook for Memory-Efficient Sparse-Binary Self-Organizing Maps: Scaling a MEDLINE Atlas to 1.05 Million Neurons on a Single Consumer GPU

    Aug 25, 2026Andrew James AmosSelf-Organizing MapsGPU Acceleration

    College of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia

  12. Scalable High-Fidelity Macromolecular Docking for GPU-Accelerated Supercomputers

    Aug 7, 2026Xiangyu Meng, Peng Chen, Mingzhen Li +7GPU Kernel OptimizationGPU Acceleration

    College of Computer Science and Technology, Shandong Key Laboratory of Intelligent Oil & Gas Industrial Software, China University of Petroleum (East China), Qingdao, China · A*STAR Institute of Advanced Intelligence and Computing, Singapore · RIKEN Center for Computational Science, Kobe, Japan +2

  13. Accelerating Dynamic Graph Clustering on GPU Architectures with cuGraph

    Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniGPU AccelerationClustering

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

  14. CUDA MPC: A GPU-Native Solver for Model Predictive Control

    Aug 4, 2026Babak Akbari, Melissa GreeffGPU Kernel OptimizationGPU Acceleration

    Robora Lab, Department of Electrical and Computer Engineering Queen's University, Kingston, ON, Canada

  15. Meganeura: Portable GPU Training and Inference through Vulkan and Metal

    Aug 3, 2026Dzmitry MalyshauEfficient Neural Network InferenceGPU Kernel Optimization

    Independent Researcher

  16. Sobek: Streaming Equivariant Tensor Product Convolutions

    Jul 20, 2026Vladimir Chorošajev, Cédric BényGPU Kernel OptimizationGPU Acceleration

    Cortex Discovery

  17. CaT-GS: Efficient 3DGS Rendering for Large Scale Scenes via Inter-frame Caching and Tile Scheduling

    Jul 20, 2026Tingjia Zhang, Bo Chen, Shengzhong Liu +23D Gaussian Splatting3DGS Acceleration

    Shanghai Jiao Tong University · University of Illinois Urbana-Champaign

  18. Compression of 3D Gaussian Splatting Data Using GPU-friendly Graphics Texture Coding

    Jul 16, 2026Amir Said, Randall Rauwendaal3DGS Compression3D Gaussian Splatting

    Qualcomm AI Research San Diego, CA, USA · Qualcomm Graphics Research Boulder, CO, USA

  19. WarpMPC: Large-Batch MPC on GPU via ADMM with Unrolled LDL⊤LDL^\top Factorization

    Jul 13, 2026Henrik Hose, Se Hwan Jeon, Charles Khazoom +2GPU Kernel OptimizationGPU Acceleration

    Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University, Germany · Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge MA, USA.

  20. VQCSim: When Does Compile-Once Statevector Simulation Beat Generic Quantum Frameworks?

    Jul 13, 2026Anton Firc, Martin Perešíni, Vojtěch Mrázek +7GPU AccelerationHybrid Quantum-Classical ML

    EvoAI Hardware Group, Brno University of Technology, Brno, Czech Republic · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE

  21. GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI

    Jul 6, 2026Huzhenyu Zhang, Shenghai Yuan, Wenrui Yan +4GPU AccelerationRobotics Simulation

    Shanghai AI Laboratory, China · MIRAI, Russia · Nanyang Technological University, Singapore +2

  22. GPU-Accelerated Polygonal Signed Distance Functions for Real-Time Collision Avoidance

    Jul 5, 2026Taekwon Ga, Jongeun ChoiSigned Distance FunctionsGPU Acceleration

    School of Mechanical Engineering, Yonsei University, Seoul 03722, South Korea

  23. Fast Asymptotically Optimal Kinodynamic Planning via Vectorization

    Jul 4, 2026Yitian Gao, Andrew Lu, Zachary KingstonConstrained Motion PlanningKinodynamic Motion Planning

    Department of Computer Science, Purdue University

  24. Design-CP: Context Parallelism for Design of Protein Nanoparticles

    Jul 3, 2026Lorenzo Tarricone, Helen E. Eisenach, Aiko Muraishi +1GPU AccelerationHigh-Performance Computing

    Department of Statistics, University of Oxford, Oxford, UK · Ellison Institute of Technology Oxford, Oxford, UK · Institute for Protein Design, University of Washington, Seattle, USA +2

  25. Scaling Weisfeiler-Leman Expressiveness Analysis to Massive Graphs with GPUs

    Jul 1, 2026Filippo Biondi, Mirco Tribastone, Max TschaikowskiGPU AccelerationHigh-Performance Computing

    IMT Lucca, Italy · Sapienza University Rome, Italy

  26. GPU Parallelization Strategies for Forward and Backward Propagation in Shallow Neural Networks: A CUDA-Based Comparative Study

    Jun 29, 2026Rania Zitouni, Nadine Bousdjira, Sarah Hasnaoui +2GPU Kernel OptimizationGPU Acceleration

    E´ cole Nationale Supe´rieure d’Informatique (ESI) · High Performance Computing (HPC)

  27. Scaling Nonlinear Optimization: Many Problems One GPU

    Jun 24, 2026John Viljoen, Johanna Haffner, Masayoshi Tomizuka +1Trajectory OptimizationGPU Acceleration

    Department of Mechanical Engineering, University of California, Berkeley, CA, USA · Department of Biosystems Science and Engineering, ETH Zürich, Switzerland

  28. \chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation

    Jun 24, 2026Ira WolfsonGPU AccelerationBlack-Box Optimization

    Department of Electronics and Electrical Engineering Braude College of Engineering, Karmiel, Israel

  29. BluTrain: A C++/CUDA Framework for AI Systems

    Jun 23, 2026Adhitya Charan, Adwaid Suresh, Anuj Kumar +19GPU AccelerationHigh-Performance Computing

    Blubridge AI

  30. TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU

    Jun 23, 2026Gabriel Bravo-Palacios, Jianghan Zhang, Zachary Pestrikov +2GPU AccelerationModel Predictive Control

    Dartmouth College, Hanover, NH, USA · Toyota Research Institute, Los Altos, CA, USA