Yasir Mahmood Qureshi

According to our database, Yasir Mahmood Qureshi authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ALPINE: Analog In-Memory Acceleration With Tight Processor Integration for Deep Learning.

Joshua Klein, Irem Boybat, Yasir Mahmood Qureshi, Martino Dazzi, Alexandre Levisse, Giovanni Ansaloni, Marina Zapater, Abu Sebastian, David Atienza

IEEE Trans. Computers, July, 2023

2022

Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures.

Rafael Medina, Joshua Kein, Yasir Mahmood Qureshi, Marina Zapater, Giovanni Ansaloni, David Atienza

Proceedings of the 13th IEEE Latin America Symposium on Circuits and System, 2022

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

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

2020

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

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

Proceedings of the VLSI-SoC: New Technology Enabler, 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

Proceedings of the 27th IFIP/IEEE International Conference on Very Large Scale Integration, 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

Proceedings of the 2019 Spring Simulation Conference, 2019

BLADE: A BitLine Accelerator for Devices on the Edge.

William Andrew Simon, Yasir Mahmood Qureshi, Alexandre Levisse, Marina Zapater, David Atienza

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

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

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018