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High-Level Synthesis

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Showing 76–96 of 96 papers

TitleStatusHype
Efficient Task Transfer for HLS DSE—0
Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference—0
Embeddings in Natural Language Processing—0
Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis—0
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs—0
FFCNN: Fast FPGA based Acceleration for Convolution neural network inference—0
Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment—0
FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software—0
FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning—0
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks—0
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge—0
HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators—0
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing—0
Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis—0
Implementation of hyperspectral inversion algorithms on FPGA: Hardware comparison using High Level Synthesis—0
Intelligent4DSE: Optimizing High-Level Synthesis Design Space Exploration with Graph Neural Networks and Large Language Models—0
Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors—0
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning—0
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs—0
Leveraging High-Level Synthesis and Large Language Models to Generate, Simulate, and Deploy a Uniform Random Number Generator Hardware Design—0
MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration—0
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