3 papers
cs.AR2026
A3D: Agentic AI flow for autonomous Accelerator Design
Abinand Nallathambi, Christopher Knight, Shantanu Ganguly +2
Accelerating applications through the design of hardware accelerators can significantly enhance system performance and energy efficiency. Despite advances, such as high-level synth…
cs.AR2023
LRMP: Layer Replication with Mixed Precision for Spatial In-memory DNN Accelerators
Abinand Nallathambi, Christin David Bose, Wilfried Haensch +1
In-memory computing (IMC) with non-volatile memories (NVMs) has emerged as a promising approach to address the rapidly growing computational demands of Deep Neural Networks (DNNs).…
cs.NE2020
Probabilistic spike propagation for FPGA implementation of spiking neural networks
Abinand Nallathambi, Nitin Chandrachoodan
Evaluation of spiking neural networks requires fetching a large number of synaptic weights to update postsynaptic neurons. This limits parallelism and becomes a bottleneck for hard…