6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.AR2022★ 1 cited
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators
Aditya Manglik, Minesh Patel, Haiyu Mao +4
Resistive Random-Access Memory (RRAM) is well-suited to accelerate neural network (NN) workloads as RRAM-based Processing-in-Memory (PIM) architectures natively support highly-para…
cs.AR2022★ 6 cited
A Case for Transparent Reliability in DRAM Systems
Minesh Patel, Taha Shahroodi, Aditya Manglik +4
Today's systems have diverse needs that are difficult to address using one-size-fits-all commodity DRAM. Unfortunately, although system designers can theoretically adapt commodity…