gpu computing

A Parallel CPU-GPU Framework for Batching Heuristic Operations in Depth-First Heuristic Search AAAI 2026 FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs AAAI 2026 Building Massive MIMO Baseband Processing on a Single-Node Supercomputer NSDI 2025 Column-Oriented Datalog on the GPU AAAI 2025 FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware ICLR 2025 GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia JMLR 2025 Massively Parallel Continuous Local Search for Hybrid SAT Solving on GPUs AAAI 2025 Superfast Configuration-Space Convex Set Computation on GPUs for Online Motion Planning RSS 2025 FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision NeurIPS 2024 A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings NeurIPS 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023 GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023 A Variant of Concurrent Constraint Programming on GPU AAAI 2022 FastDOG: Fast Discrete Optimization on GPU CVPR 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 RAMA: A Rapid Multicut Algorithm on GPU CVPR 2022 SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems NeurIPS 2022 tntorch: Tensor Network Learning with PyTorch JMLR 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU JMLR 2022 Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021 Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU ICLR 2021 Accelerating Reinforcement Learning through GPU Atari Emulation NeurIPS 2020 A Streaming Approach For Efficient Batched Beam Search EMNLP 2020 GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification NeurIPS 2020