Shreyas Kolala Venkataramanaiah

FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity

Algorithm-hardware co-optimization for energy-efficient drone detection on resource-constrained fpga

Efficient continual learning at the edge with progressive segmented training

A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification

Fixyfpga: Efficient fpga accelerator for deep neural networks with high element-wise sparsity and without external memory access

Efficient and modularized training on FPGA for real-time applications

FPGA-based low-batch training accelerator for modern CNNs featuring high bandwidth memory