hardware acceleration

Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities AAAI 2026 HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference AAAI 2026 AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025 CAX: Cellular Automata Accelerated in JAX ICLR 2025 CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models ICML 2025 JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025 Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025 SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility ICCV 2025 WaferLLM: Large Language Model Inference at Wafer Scale OSDI 2025 BBQ: A Fast and Scalable Integer Priority Queue for Hardware Packet Scheduling NSDI 2024 Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 2024 Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024 Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024 LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NeurIPS 2024 NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways NSDI 2024 QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024 Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs OSDI 2024 ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization NeurIPS 2024 Sifter: An Inversion-Free and Large-Capacity Programmable Packet Scheduler NSDI 2024 FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023 NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications NeurIPS 2023 Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NeurIPS 2023 SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference ICCV 2023 The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023 The Grand Illusion: The Myth of Software Portability and Implications for ML Progress. NeurIPS 2023