Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not? - Ali Pahlevan; Yasir Mahmood Qureshi; Marina Zapater; Andrea Bartolini; Davide Rossi; Luca Benini; David Atienza (DATE, 2018)

BLADE: A BitLine Accelerator for Devices on the Edge. - William Andrew Simon; Yasir Mahmood Qureshi; Alexandre Levisse; Marina Zapater; David Atienza (ACM Great Lakes Symposium on VLSI, 2019)

Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms. - Yasir Mahmood Qureshi; William Andrew Simon; Marina Zapater; David Atienza; Katzalin Olcoz (SpringSim, 2019)

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories. - João Vieira; Edouard Giacomin; Yasir Mahmood Qureshi; Marina Zapater; Xifan Tang; Shahar Kvatinsky; David Atienza; Pierre-Emmanuel Gaillardon (VLSI-SoC, 2019)

Accelerating Inference on Binary Neural Networks with Digital RRAM Processing. - João Vieira; Edouard Giacomin; Yasir Mahmood Qureshi; Marina Zapater; Xifan Tang; Shahar Kvatinsky; David Atienza; Pierre-Emmanuel Gaillardon (VLSI-SoC (Selected Papers), 2019)

BLADE: An in-Cache Computing Architecture for Edge Devices. - William Andrew Simon; Yasir Mahmood Qureshi; Marco Rios; Alexandre Levisse; Marina Zapater; David Atienza (IEEE Trans. Computers, 2020)

Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization. - Yasir Mahmood Qureshi; William Andrew Simon; Marina Zapater; Katzalin Olcoz; David Atienza (ACM Trans. Archit. Code Optim., 2021)

Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures. - Yasir Mahmood Qureshi; Jose Manuel Herruzo; Marina Zapater; Katzalin Olcoz; Sonia Gonzalez-Navarro; Oscar G. Plata; David Atienza (IEEE Trans. Computers, 2021)

Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures. - Rafael Medina 001; Joshua Kein; Yasir Mahmood Qureshi; Marina Zapater; Giovanni Ansaloni; David Atienza (LASCAS, 2022)

ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning. - Joshua Alexander Harrison Klein; Irem Boybat; Yasir Mahmood Qureshi; Martino Dazzi; Alexandre Levisse; Giovanni Ansaloni; Marina Zapater; Abu Sebastian; David Atienza (IEEE Trans. Computers, 2023)