4 papers
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…
ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-DRAM CNN Processing
Supreeth Mysore Shivanandamurthy, Ishan. G. Thakkar, Sayed Ahmad Salehi
With the rapidly growing use of Convolutional Neural Networks (CNNs) in real-world applications related to machine learning and Artificial Intelligence (AI), several hardware accel…
ODIN: A Bit-Parallel Stochastic Arithmetic Based Accelerator for In-Situ Neural Network Processing in Phase Change RAM
Supreeth Mysore Shivanandamurthy, Ishan. G. Thakkar, Sayed Ahmad Salehi
Due to the very rapidly growing use of Artificial Neural Networks (ANNs) in real-world applications related to machine learning and Artificial Intelligence (AI), several hardware a…
Low-cost Stochastic Number Generators for Stochastic Computing
Sayed Ahmad Salehi
Stochastic unary computing provides low-area circuits. However, the required area consuming stochastic number generators (SNGs) in these circuits can diminish their overall gain in…