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High-Level Synthesis

Papers

Showing 51–75 of 96 papers

TitleStatusHype
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level SynthesisCode0
Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment—0
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science—0
Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture—0
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge—0
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy PhysicsCode1
FFCNN: Fast FPGA based Acceleration for Convolution neural network inference—0
High-level synthesis design of scalable ultrafast ultrasound beamformer with single FPGA—0
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis—0
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis—0
A Compilation Flow for the Generation of CNN Inference Accelerators on FPGAs—0
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence—0
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNsCode1
GenGNN: A Generic FPGA Framework for Graph Neural Network AccelerationCode1
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing—0
Hardware-Efficient Deconvolution-Based GAN for Edge ComputingCode0
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer—0
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration—0
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks—0
A system on chip for melanoma detection using FPGA-based SVM classifier—0
Accelerating Markov Random Field Inference with Uncertainty Quantification—0
Accelerating Recurrent Neural Networks for Gravitational Wave ExperimentsCode1
A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC—0
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning—0
Embeddings in Natural Language Processing—0
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