Latest

• Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
• FTDL: A tailored FPGA-overlay for deep learning with high scalability
• CSB-RNN: A faster-than-realtime RNN acceleration framework with compressed structured blocks
• Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
• FTDL: An FPGA-tailored architecture for deep learning systems
• A super real-time RNN framework with compressed structured block
• E-LSTM: Efficient inference of sparse LSTM on embedded heterogeneous system
• A real-time coprime line scan super-resolution system for ultra-fast microscopy
• High-throughput line buffer microarchitecture for arbitrary sized streaming image processing
• Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory
• Image super-resolution for ultrafast optical time-stretch imaging