CERN
Author in the following contributions
- Designing and Deploying Low-Latency Neural Networks on FPGAs with HGQ and da4ml
- Radiation-Hard, ML-Based, Low-Latency Compression for the LHCb ECAL Upgrade
- End-to-End Neural Network Compression and Deployment for Hardware Acceleration Using PQuant and hls4ml
- Pushing Matrix-Vector Multiplication Performance on AMD AI Engines for Low-Latency Edge Inference
- SparsePixels: Efficient Convolution for Sparse Data on FPGAs
- Accelerating Efficient Transformer Architectures for Point Cloud Data using hls4ml (REMOTE)
- da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs
- KAN-LUT: Efficient LUT-Based Acceleration of Kolomogorov-Arnold Networks (KANs) on FPGAs
- Evolution of the oneAPI backend for hls4ml
- Integrating Support for Google XLS in hls4ml
- wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation