Review
Aug 2026
Model Compression and Hardware-Aware Acceleration for Deep Learning on FPGAs: A Co-Design Taxonomy and Comparative Analysis
This survey restricted the scope to FPGAs alone and organized 25 compression-hardware co-design case studies into a five-category taxonomy defined by which FPGA resources each strategy primarily reshapes, formalizing six open challenges: toolchain fragmentation, accuracy--efficiency characterization, automated mixed-pr...
Peter Forcha, H. Kajekusumadhar, Mbua Peter et al.
· 0 citations