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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Parameterized Stripe Attention for Efficient Video Generation

    Sep 29, 2026Xingyu Jia, Baole Ai, Ang Wang +2Spatio-Temporal AttentionVideo Diffusion Models

    Alibaba Group

  2. AI as a Compiler: Compiling Triton kernels without the Triton compiler

    Sep 29, 2026François Costa, Charly Castes, Thomas Bourgeat +1CudaCode Optimization

    Stanford University · EPFL

  3. Hardware-Aware Features for CUTLASS Kernel Selection

    Sep 28, 2026Shriram Chandran, Dominic Rinderer, Yakup Budanaz +3CudaHardware-Aware

    ETH Zurich Zurich, Switzerland

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

    Sep 28, 2026Olivier Peltre, Armand Picard, Adrien Pichard +6Rotation EquivarianceCuda

    InstaDeep · Prima Mente

  5. GTR: Gated Token Recurrence for Efficient Dense Prediction

    Sep 22, 2026Zhe Feng, Longfei Liu, Wei Liu +7Dense PredictionSelf-Supervised Vision Transformers

    Didi International Business Group · Intellindust AI Lab · Institute of Automation, Chinese Academy of Sciences +2

  6. The Output-Space Hypothesis: Enumerative Equivalence Checking for Tensor Programs

    Sep 17, 2026Paul Biberstein, Joseph Devietti, Mayur NaikCudaBug

    University of Pennsylvania Philadelphia, PA, USA

  7. AMDKernelVault: Large-Scale Datasets and Agentic Training for AMD GPU Kernel Optimization

    Sep 14, 2026Ji Liu, Saptarshi Majumder, Yiqing Huang +14CudaPytorch

    Advanced Micro Devices, Inc.

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

    Sep 3, 2026Hao Mao, Xu Tony Liu, Shuai Lu +3Symbolic RegressionGenetic Algorithms

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

  9. RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

    Aug 12, 2026Jinjun Huang, Zhongzhen Wen, Tongtong Xu +3CudaLarge Language Model Benchmarks

    College of Computer Science and Technology and the State Key Laboratory of Blockchain and Data Security, Zhejiang University · State Key Lab for Novel Software Technology, Nanjing University · Software Engineering Application Technology Laboratory, Huawei +1

  10. Gaming Without an Attacker: Benchmark Fingerprinting in LLM-Driven Search Under Selection Pressure

    Aug 9, 2026Víctor GallegoGraphics Processing Unit KernelsCuda

    Komorebi AI Technologies

  11. What Irregularity Costs: CUDA C++, Rust, and Triton on a Hash-Blocked GPU Workload

    Aug 8, 2026Petr KorolevCudaGraphics Processing Unit Resources

    Spacial Intelligence Labs

  12. SparseDitto: An Agentic Sparse Compilation Framework through Architecture-Aware Synthesis on GPUs

    Aug 5, 2026Shiyang Li, Guangyan Sun, Jinwei Tang +3Graphics Processing Unit KernelsCuda

    University of Minnesota Minneapolis, MN, USA · Northeastern University Boston, MA, USA

  13. Gleam: Adaptive Network-Efficient CUDA API Remoting for Cross-Device GPU Sharing over LANs

    Jul 25, 2026Zhihao Xu, Hao Zhong, Zeting Zhou +9Cpu-Gpu Hybrid DesignsCuda

    Shanghai Jiao Tong University · Lenovo Information Products (Shenzhen) Ltd · Lenovo (Beijing) Ltd

  14. Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

    Jul 25, 2026Dongjie Chen, Ping Zhao, Bohua Zhan +11Graphics Processing Unit KernelsCuda

    Huawei Technologies Co., Ltd.

  15. Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation

    Jul 23, 2026Quazi Ishtiaque Mahmud, Nesreen K. Ahmed, Ali JannesariCudaCode Optimization

    Iowa State University, Ames, IA, USA · Cisco AI Research, San Jose, CA, USA

  16. KernelGenBench: Can LLMs and Agents Write Efficient Kernels Across Operator Sources and Hardware Platforms?

    Jul 22, 2026Peiyu Zang, Jian Tao, Jialing Zhang +4Graphics Processing Unit KernelsCuda

    Beijing Normal University · BAAI · Beijing Jiaotong University +2

  17. MoA-Structured Decode Attention DNF Derivation, KV-Cache Accumulation, GQA/MQA, and OpenACC Kernel

    Jul 21, 2026Lenore Mulin, Gaetan HainsMatrix MultiplicationTransformer Attention

    University at Albany, SUNY · LACL, Universit´e Paris-Est Cr´eteil

  18. Lossless but Not Free: An Empirical Anatomy of Speculative Decoding on Consumer Hardware

    Jul 19, 2026Param ChordiyaSpeculative DecodingAutoregressive Decoding

    University of California, San Diego

  19. A Modern Multimodal Assistant on a 6 GB 2011 GPU: Stage-Validated, All-GPU CUDA Inference for Fermi

    Jul 16, 2026A. C. Opus, J. Q. LuNvidiaCuda

    Department of Physics, University of Puerto Rico, Mayaguez, PR 00680, USA

  20. NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation

    Jul 5, 2026Junjie Tang, Jun Huan, Hao Zhou +2Graphics Processing Unit KernelsCuda

    Amazon Web Services

  21. CodeJeNN: A simple C++ neural network generator for physics applications

    Jul 2, 2026Jay Arcities, Pavel Popov, Eric J Ching +2CudaIntegrated C++ Development

    San Diego State University, Aerospace Engineering Department, San Diego, CA 92182 · U.S. Naval Research Laboratory, Laboratories of Computational Physics and Fluid Dynamics, Washington, DC 20375

  22. 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 +2CudaCpu-Gpu Hybrid Designs

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

  23. Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization

    Jun 24, 2026Jiading Gai, Shuai Zhang, Kaj Bostrom +6Graphics Processing Unit KernelsCuda

    Amazon · Siemens · University of Minnesota

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

    Jun 23, 2026Adhitya Charan, Adwaid Suresh, Anuj Kumar +19CudaDeep Learning

    Blubridge AI

  25. From Tokens to Regions: CUDA-Sensitive Instruction Tuning for GPU Kernel Generation

    Jun 15, 2026Wentao Chen, Jiace Zhu, Xing Zhe Chai +4CudaGraphics Processing Unit Kernels

    1Shanghai Jiao Tong University · 2Biren Technology

  26. ReSET: Accurate Latency-Critical NVFP4 Reasoning via Step-Aware Temperature Scaling

    Jun 11, 2026Sihwa Lee, Janghwan Lee, Donghoon Yoo +4Fp8Autoregressive Decoding

    Hanyang University, Seoul, Republic of Korea · Xenoscube Korean Inc., Seoul, Republic of Korea

  27. A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

    Jun 9, 2026Matthew Cong, Francis Williams, Jonathan Swartz +3Cpu-Gpu Hybrid DesignsNeural Reconstruction

    1NVIDIA · University of Toronto · 3Vector Institute

  28. Express Language Modeling

    Jun 9, 2026Albert Gong, Annabelle Michael Carrell, Raaz Dwivedi +1Language ModelingCausal Attention

    Cornell Tech · University of Cambridge · Microsoft Research

  29. Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering

    Jun 9, 2026Gal Bloch, Ariel Gera, Matan Orbach +2Gaussian Mixture ModelsClustering

    IBM Research

  30. AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis

    Jun 8, 2026Jaber Jaber, Osama JaberCudaAgent Harness

    RightNow AI

  31. AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

    Jun 4, 2026Xuanzhe Li, Ziyan Weng, Zhiyu Zhu +1CudaPytorch

    City University of Hong Kong (Dongguan) · City University of Hong Kong

  32. Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders

    May 30, 2026Yitong Jiang, Hongjun Wang, Collin McCarthy +15Vision EncodersLinear Attention

    NVIDIA · The Chinese University of Hong Kong · The University of Hong Kong +1

  33. Caspar: CUDA Accelerator for Symbolic Programming with Adaptive Reordering

    May 28, 2026Emil Martens, Aaron Miller, Matias Varnum +1CudaSymbol-

    Norwegian University of Science and Technology · Skydio

  34. CA-AC-MPC: CUDA-Accelerated Actor-Critic Model Predictive Control

    May 27, 2026Antoonio Buo, Vittorio Cammarota, Michele Avagnale +3Model Predictive ControlSoft Actor-Critic

    PRISMA Lab and CREATE Consortium, Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

  35. Accelerating Birkhoff Projection for Manifold-Constrained Hyper-Connections

    May 26, 2026Chenrui Wang, Yixuan QiuSolver IterationsProjection

    RenminSchoolUniversityof Statisticsof China · School of Statistics and Data Science & Institute of Big Data Research · Shanghai University of Finance and Economics

  36. Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

    May 26, 2026Yee Hin Chong, Jiaming Wu, Youhui Zhang +1Large Language Model PlanningCuda

    Department of Computer Science and Technology, Tsinghua University, Beijing, China · Beijing National Research Center for Information Science and Technology, Beijing, China

  37. RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models

    May 26, 2026Xing Cong, Hanlin Tang, Kan Liu +3Diffusion TransformersDiffusion Models

    1Alibaba Group · 2Independent Researcher

  38. SA-Kura: An Energy-Efficient Systolic Array Accelerator for Locally-Coupled Kuramoto Drift in Diffusion Sampling

    May 20, 2026Jeongmin Jin, Kyeongwon Lee, Mundo Jeong +2CudaNvidia Jetson Orin Nano

    ISLPED '26, Evanston, IL

  39. Prior Knowledge or Search? A Study of LLM Agents in Hardware-Aware Code Optimization

    May 19, 2026Dmitry Redko, Albert Fazlyev, Konstantin Sozykin +3Code OptimizationCuda

    Applied AI Institute · AI Talent Hub, ITMO University · YSDA +1

  40. The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility

    May 19, 2026David Pape, Jonathan Evertz, Lea SchönherrLarge Language Model BenchmarksLLM Inference Optimization

    CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

  41. Lightweight Gaussian Process Inference in C++ on Metal and CUDA

    May 18, 2026Yu-Hsueh FangGaussian ProcessCpu-Gpu Hybrid Designs

    Department of Information Management, National Taiwan University · 2H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology

  42. PySIFT: GPU-Resident Deterministic SIFT for Deep Learning Vision Pipelines

    May 18, 2026Sivakumar K. S., Mohammad Daniyalur Rahman, Gopi Raju MattaHarder Better Faster Denser Feature MatchingKeypoint Detection

    1Indian Institute of Technology Madras

  43. CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMs

    May 8, 2026Shiyang Li, Zijian Zhang, Guangyan Sun +5CudaCode Optimization

    University of Minnesota · Northeastern University

  44. CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging

    May 8, 2026Shiyang Li, Haoyang Chen, Mattia Fazzini +1Model DebuggingCuda

    University of Minnesota

  45. CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels

    May 6, 2026Xing Ma, Yangjie Zhou, Wu Sun +6Cuda

    Shanghai Jiao Tong University · National University of Singapore · Shanghai Qi Zhi Institute

  46. KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

    May 6, 2026Han Wang, Jintao Zhang, Kai Jiang +3Graphics Processing Unit KernelsCuda

    ∗Equal contribution.

  47. VUDA: Breaking CUDA-Vulkan Isolation for Spatial Sharing of Compute and Graphics on the Same GPU

    May 2, 2026Bin Xu, Pengfei Hu, Wenxin Zheng +2Cpu-Gpu Hybrid DesignsCuda

    Shanghai Jiao Tong University Shanghai, China

  48. PointTransformerX: Portable and Efficient 3D Point Cloud Processing without Sparse Algorithms

    Apr 27, 2026Laurenz Reichardt, Nikolas Ebert, Oliver WasenmüllerPoint Clouds3D Perception

    Mannheim University of Applied Sciences, Germany

  49. Hybrid JIT-CUDA Graph Optimization for Low-Latency Large Language Model Inference

    Apr 25, 2026Divakar Kumar Yadav, Tian ZhaoLLM Inference OptimizationInference Latency

    Department of Computer Science University of Wisconsin-Milwaukee Milwaukee, WI, USA

  50. 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

  51. Reducing the Offline-Streaming Gap for Unified ASR Transducer with Consistency Regularization

    Apr 21, 2026Andrei Andrusenko, Vladimir Bataev, Lilit Grigoryan +3Automatic Speech RecognitionStreaming

    NVIDIA, Armenia · NVIDIA, USA

  52. SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models

    Apr 18, 2026Junnan Liu, Xinyan Liu, Peifeng Gao +4Efficient Long-Context InferenceLarge Language Model Decoding

    Harbin Institute of Technology (Weihai) · University of Hong Kong, Hong Kong, China · City University of Hong Kong, Hong Kong, China

  53. Xe-Forge: Multi-Stage LLM-Powered Kernel Optimization for Intel GPU

    Apr 16, 2026Marcin Spoczynski, Daniel Fleischer, Moshe Berchansky +5Graphics Processing Unit KernelsCuda

    Intel Corporation

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

    Mar 17, 2026Ruijia Yang, Zeyi WenLarge Language Model Fine-TuningCpu-Gpu Hybrid Designs

  55. CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

    Dec 2, 2025Songqiao Su, Xiaoya Li, Albert Wang +3CudaMatrix Multiplication

    DeepReinforce Team

  56. CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

    Jul 18, 2025Xiaoya Li, Albert Wang, Guoyin Wang +2Cuda

    DeepReinforce Team