Yasir Mahmood Qureshi

11 papers A 1C 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning.
IEEE Trans. Computers
Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2022 J jnl
ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning.
CoRR
Joshua Alexander Harrison Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza
2022 — conf
Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures.
LASCAS
Rafael Medina, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza
2021 J jnl
Gem5-X: A Many-core Heterogeneous Simulation Platform for Architectural Exploration and Optimization.
ACM Trans. Archit. Code Optim.
Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, Katzalin Olcoz, David Atienza
2021 J jnl
Genome Sequence Alignment - Design Space Exploration for Optimal Performance and Energy Architectures.
IEEE Trans. Computers
Yasir Mahmood Qureshi, Jose Manuel Herruzo, Marina Zapater, Katzalin Olcoz, Sonia Gonzalez-Navarro, Oscar G. Plata, David Atienza
2020 J jnl
BLADE: An in-Cache Computing Architecture for Edge Devices.
IEEE Trans. Computers
William Andrew Simon, Yasir Mahmood Qureshi, Marco Rios, Alexandre Levisse, Marina Zapater, David Atienza
2019 C conf
A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories.
VLSI-SoC
João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon
2019 — conf
Accelerating Inference on Binary Neural Networks with Digital RRAM Processing.
VLSI-SoC (Selected Papers)
João Vieira, Edouard Giacomin, Yasir Mahmood Qureshi, Marina Zapater, Xifan Tang, Shahar Kvatinsky, David Atienza, Pierre-Emmanuel Gaillardon
2019 — conf
BLADE: A BitLine Accelerator for Devices on the Edge.
ACM Great Lakes Symposium on VLSI
William Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza
2019 — conf
Gem5-X: A Gem5-Based System Level Simulation Framework to Optimize Many-Core Platforms.
SpringSim
Yasir Mahmood Qureshi, William Andrew Simon, Marina Zapater, David Atienza, Katzalin Olcoz
2018 A conf
Energy proportionality in near-threshold computing servers and cloud data centers: Consolidating or Not?
DATE
Ali Pahlevan, Yasir Mahmood Qureshi, Marina Zapater, Andrea Bartolini, Davide Rossi, Luca Benini, David Atienza