Interactive visualizations for hardware acceleration of VGG on CIFAR-10
GPU vs FPGA metrics: latency, throughput, power, and energy efficiency
View Visualization →Deep dive into why GPU's 320 GB/s bandwidth crushed FPGA's 2.1 GB/s
View Visualization →Interactive guide for choosing GPU vs FPGA for your ML project
View Visualization →How we achieved 49.8× speedup through strategic BRAM/LUT tradeoffs
View Visualization →
Project: Hardware Acceleration of VGG Model on CIFAR-10 using High-Level Synthesis
Authors: Meenakshi Sridharan Sundaram & Sai Ayush
Institution: Illinois Institute of Technology