2 citations · 2 across the 4 of their papers we have counts for
4 papers
ReSAFT: An Efficient Stuck-at Fault-Tolerant Scheme for ReRAM-based Process-in-Memory Accelerators
Aniseh Dorostkar, Hamed Farbeh, Hamid R. Zarandi
Analog ReRAM-based process-in-memory (PIM) accelerators provide high parallelism and energy efficiency for deep convolutional neural networks (CNNs) inference. However, their susce…
Nanoscale memristive devices: Threats and solutions
Amir M. Hajisadeghi, Javad Talafy, Hamid R. Zarandi
Due to their incentivizing features, memristors are a promising candidate for replacing CMOS-based memories, which are faced with various functional challenges in deep submicron pr…
Online Soft Error Tolerance in ReRAM Crossbars for Deep Learning Accelerators
Benyamin Khezeli, Hamid Reza Zarandi, Elham Cheshmikhani
Resistive Random-Access Memory (ReRAM) crossbar arrays are promising candidates for in-situ matrix-vector multiplication (MVM), a frequent operation in Deep Learning algorithms. De…
Leveraging the Potential of Control-Flow Error Resilient Techniques in Multithreaded Programs
Navid Khoshavi, Mohammad Maghsoudloo, Hamid R. Zarandi
This paper presents a software-based technique to recover control-flow errors in multithreaded programs. Control-flow error recovery is achieved through inserting additional instru…