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A Bit-Parallel Deterministic Stochastic Multiplier
Sairam Sri Vatsavai, Ishan Thakkar
This paper presents a novel bit-parallel deterministic stochastic multiplier, which improves the area-energy-latency product by up to 10.610, while improving the comput…
SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs
Sairam Sri Vatsavai, Venkata Sai Praneeth Karempudi, Ishan Thakkar +2
The acceleration of a CNN inference task uses convolution operations that are typically transformed into vector-dot-product (VDP) operations. Several photonic microring resonators…
AGNI: In-Situ, Iso-Latency Stochastic-to-Binary Number Conversion for In-DRAM Deep Learning
Supreeth Mysore Shivanandamurthy, Sairam Sri Vatsavai, Ishan Thakkar +1
Recent years have seen a rapid increase in research activity in the field of DRAM-based Processing-In-Memory (PIM) accelerators, where the analog computing capability of DRAM is em…
Photonic Reconfigurable Accelerators for Efficient Inference of CNNs with Mixed-Sized Tensors
Sairam Sri Vatsavai, Ishan G Thakkar
Photonic Microring Resonator (MRR) based hardware accelerators have been shown to provide disruptive speedup and energy-efficiency improvements for processing deep Convolutional Ne…