conftrace_

hardware acceleration

48 papers

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Co-occurring keywords

model compression (3302) parallel computing (146) neural network (6616) convolutional neural network (4226) spiking neural network (331) neural network optimization (1293) load balancing (55) field programmable gate array (11) embedded system (21) large language model (13587)

Papers

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
WaferLLM: Large Language Model Inference at Wafer Scale OSDI 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility ICCV 2025
Pushing the Limits of BFP on Narrow Precision LLM Inference AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration AAAI 2025
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models AAAI 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
Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization NIPS 2024
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NIPS 2024
BBQ: A Fast and Scalable Integer Priority Queue for Hardware Packet Scheduling NSDI 2024
Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs OSDI 2024
Sifter: An Inversion-Free and Large-Capacity Programmable Packet Scheduler NSDI 2024
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment EMNLP 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress. NIPS 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference ICCV 2023
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NIPS 2023
FAERY: An FPGA-accelerated Embedding-based Retrieval System OSDI 2022
A Hardware Perspective to Evaluating Probabilistic Circuits PGM 2022
Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing NSDI 2022