49 citations · 123 across the 21 of their papers we have counts for
3 papers · 1 filter
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM
Ataberk Olgun, Juan Gómez Luna, Konstantinos Kanellopoulos +4
Processing-using-memory (PuM) techniques leverage the analog operation of memory cells to perform computation. Several recent works have demonstrated PuM techniques in off-the-shel…
MoRS: An Approximate Fault Modelling Framework for Reduced-Voltage SRAMs
İsmail Emir Yüksel, Behzad Salami, Oğuz Ergin +2
On-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g., GPUs, FPGAs, ASICs to achieve high p…
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators
Seyed Morteza Nabavinejad, Behzad Salami
Energy-efficiency is a key concern for neural network applications. To alleviate this issue, hardware acceleration using FPGAs or GPUs can provide better energy-efficiency than gen…