Alireza Khadem

According to our database, Alireza Khadem authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Customized Memory-aware Architecture for Biological Sequence Alignment.

Nasrin Akbari, Mehdi Modarressi, Alireza Khadem

CoRR, July, 2025

GenDP: A Framework of Dynamic Programming Acceleration for Genome Sequencing Analysis.

Yufeng Gu, Arun Subramaniyan, Timothy Dunn, Alireza Khadem, Kuan-Yu Chen, Somnath Paul, Mohammad Vasimuddin, Sanchit Misra, David T. Blaauw, Satish Narayanasamy, Reetuparna Das

Commun. ACM, May, 2025

DX100: Programmable Data Access Accelerator for Indirection.

Alireza Khadem, Kamalavasan Kamalakkannan, Zhenyan Zhu, Akash Poptani, Yufeng Gu, Jered Benjamin Dominguez-Trujillo, Nishil Talati, Daichi Fujiki, Scott A. Mahlke, Galen M. Shipman, Reetuparna Das

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Multi-Dimensional Vector ISA Extension for Mobile In-Cache Computing.

Alireza Khadem, Daichi Fujiki, Hilbert Chen, Yufeng Gu, Nishil Talati, Scott A. Mahlke, Reetuparna Das

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

PIM Is All You Need: A CXL-Enabled GPU-Free System for Large Language Model Inference.

Yufeng Gu, Alireza Khadem, Sumanth Umesh, Ning Liang, Xavier Servot, Onur Mutlu, Ravi R. Iyer, Reetuparna Das

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication.

Kuan-Yu Chen, Thomas Mason Nelson, Alireza Khadem, Morteza Fayazi, Sanjay Sri Vallabh Singapuram, Ronald G. Dreslinski, Nishil Talati, Hun-Seok Kim, David T. Blaauw

ACM Trans. Reconfigurable Technol. Syst., December, 2024

2023

Vector-Processing for Mobile Devices: Benchmark and Analysis.

Alireza Khadem, Daichi Fujiki, Nishil Talati, Scott A. Mahlke, Reetuparna Das

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

PEDAL: A Power Efficient GCN Accelerator with Multiple DAtafLows.

Yuhan Chen, Alireza Khadem, Xin He, Nishil Talati, Tanvir Ahmed Khan, Trevor N. Mudge

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

Multi-Layer In-Memory Processing.

Daichi Fujiki, Alireza Khadem, Scott A. Mahlke, Reetuparna Das

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2021

CoDR: Computation and Data Reuse Aware CNN Accelerator.

Alireza Khadem, Haojie Ye, Trevor N. Mudge

CoRR, 2021

2020

ΔNN: Power-Efficient Neural Network Acceleration Using Differential Weights.

Hoda Mahdiani, Alireza Khadem, Azam Ghanbari, Mehdi Modarressi, Farima Fattahi-Bayat, Masoud Daneshtalab

IEEE Micro, 2020

Design Challenges of Neural Network Acceleration Using Stochastic Computing.

Alireza Khadem

CoRR, 2020