Mohammad Alian
Biography
Mohammad Alian earned his B.S. in computer engineering from University of Tehran in 2013, his Masters in computer engineering from University of Wisconsin Madison in 2015, and his Ph.D. in computer engineering from University of Illinois Urbana Champaign in 2020. His doctoral work focused on cross-stack, network-centric architectural design for next-generation data centers. After receiving his doctoral degree, Alian spent three years as an assistant professor at the University of Kansas and then joined the Cornell faculty in July 2024. From February of 2023 to August of 2023, Alian was on a sabbatical visit to Swiss Federal Institute of Technology Lausanne.
Research Interests
The computation in future data centers will be distributed over a heterogenous array of processing elements, packaged modularly within a servers boundaries. The inter- and intra-server data movement will bottleneck such a computing landscape. The vision of Alian Research Group is to seamlessly integrate processor, memory, and network architecture through a co-design with operating systems, network software stack, and software libraries to minimize the data movement in future data centers.
Teaching Interests
Computer Architecture, Digital Logic Desing, Datacenter Architecture
Selected Publications
Neel Patel, Amin Mamandipoor, Mohammad Nouri, and Mohammad Alian, "SmartDIMM: In-Memory Acceleration of Upper Layer I/O Protocols," The IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2024
Neel Patel, Amin Mamandipoor, Derrick Quinn, and Mohammad Alian, "XFM: Accelerated Software-Defined Far Memory," The IEEE/ACM International Symposium on Microarchitecture (MICRO) 2023
Mohammad Alian, Siddharth Agarwal, Jongmin Shin, Neel Patel, Yifan Yuan, Daehoon Kim, Ren Wang, Nam Sung Kim, "IDIO: Network-driven, inbound network data orchestration on server processors," The IEEE/ACM International Symposium on Microarchitecture (MICRO) 2022
Mohammad Alian, Seung Won Min, Hadi Asgharimoghaddam, Ashutosh Dhar, Dong Kai Wang, Thomas Roewer, Adam McPadden, Oliver OHalloran, Deming Chen, Jinjun Xiong, Daehoon Kim, Wen-mei Hwu, and Nam Sung Kim, "Application-transparent near-memory processing architecture with memory vhannel network," The IEEE/ACM International Symposium on Microarchitecture (MICRO) 2018
Mohammad Alian, Gabor Dozsa, Umur Darbaz, Stephan Diestelhorst, Daehoon Kim, and Nam Sung Kim, "dist-gem5: Distributed simulation of computer clusters," IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) 2017
Selected Awards and Honors
- NSF Early CAREER Award, 2023
- Samsung Open Innovation Contest runner up award, 2022
- Best paper finalist HPCA 2017, ISPASS 2017, MICRO 2018, IISWC, 2019
- IEEE MICRO Honorable Mention, 2018
Education
B. Sc. in electrical and computer engineering, University of Tehran, 2013
M.S. in electrical and computer engineering, University of Wisconsin Madison, 2015
Ph.D. in electrical and computer engineering, University of Illinois at Urbana-Champaign, 2020