parallel computing

ParaILP: A Parallel Local Search Framework for Integer Linear Programming with Cooperative Evolution Mechanism IJCAI 2024 Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming AAAI 2024 Parallel Empirical Evaluations: Resilience despite Concurrency AAAI 2024 Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 SAMPa: Sharpness-aware Minimization Parallelized NeurIPS 2024 Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations NeurIPS 2024 Speculative Monte-Carlo Tree Search NeurIPS 2024 The Impossibility of Parallelizing Boosting ALT 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024 A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings NeurIPS 2023 AI and Parallelism in CS1: Experiences and Analysis AAAI 2023 Decentralization and Acceleration Enables Large-Scale Bundle Adjustment RSS 2023 DeepPCR: Parallelizing Sequential Operations in Neural Networks NeurIPS 2023 Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning AAAI 2023 Improving multiple-try Metropolis with local balancing JMLR 2023 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods AutoML 2023 Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NeurIPS 2023 PyPose: A Library for Robot Learning With Physics-Based Optimization CVPR 2023 Scalable Distributed Massive MIMO Baseband Processing NSDI 2023 Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023 Training Deep Surrogate Models with Large Scale Online Learning ICML 2023 ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD ICML 2022 A Variant of Concurrent Constraint Programming on GPU AAAI 2022