Ehsan K. Ardestani

According to our database, Ehsan K. Ardestani authored at least 19 papers between 2008 and 2023.

Collaborative distances:

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

2023

MTrainS: Improving DLRM training efficiency using heterogeneous memories.

Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald G. Dreslinski, Ehsan K. Ardestani

CoRR, 2023

MTIA: First Generation Silicon Targeting Meta's Recommendation Systems.

Amin Firoozshahian, Joel Coburn, Roman Levenstein, Rakesh Nattoji, Ashwin Kamath, Olívia Wu, Gurdeepak Grewal, Harish Aepala, Bhasker Jakka, Bob Dreyer, Adam Hutchin, Utku Diril, Krishnakumar Nair, Ehsan K. Ardestani, Martin Schatz, Yuchen Hao, Rakesh Komuravelli, Kunming Ho, Sameer Abu Asal, Joe Shajrawi, Kevin Quinn, Nagesh Sreedhara, Pankaj Kansal, Willie Wei, Dheepak Jayaraman, Linda Cheng, Pritam Chopda, Eric Wang, Ajay Bikumandla, Arun Karthik Sengottuvel, Krishna Thottempudi, Ashwin Narasimha, Brian Dodds, Cao Gao, Jiyuan Zhang, Mohammed Al-Sanabani, Ana Zehtabioskuie, Jordan Fix, Hangchen Yu, Richard Li, Kaustubh Gondkar, Jack Montgomery, Mike Tsai, Saritha Dwarakapuram, Sanjay Desai, Nili Avidan, Poorvaja Ramani, Karthik Narayanan, Ajit Mathews, Sethu Gopal, Maxim Naumov, Vijay Rao, Krishna Noru, Harikrishna Reddy, Prahlad Venkatapuram, Alexis Bjorlin

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Software-hardware co-design for fast and scalable training of deep learning recommendation models.

Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Supporting Massive DLRM Inference through Software Defined Memory.

Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.

Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021

Supporting Massive DLRM Inference Through Software Defined Memory.

Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao

CoRR, 2021

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.

Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao

CoRR, 2021

2018

GPU NTC Process Variation Compensation With Voltage Stacking.

Rafael Trapani Possignolo, Elnaz Ebrahimi, Ehsan K. Ardestani, Alamelu Sankaranarayanan, José Luis Briz, Jose Renau

IEEE Trans. Very Large Scale Integr. Syst., 2018

2016

Managing Mismatches in Voltage Stacking with CoreUnfolding.

Ehsan K. Ardestani, Rafael Trapani Possignolo, José Luis Briz, Jose Renau

ACM Trans. Archit. Code Optim., 2016

2014

Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power Devices.

Amirkoushyar Ziabari, Je-Hyoung Park, Ehsan K. Ardestani, Jose Renau, Sung-Mo Kang, Ali Shakouri

IEEE Trans. Very Large Scale Integr. Syst., 2014

2013

Sampling in Thermal Simulation of Processors: Measurement, Characterization, and Evaluation.

Ehsan K. Ardestani, Francisco J. Mesa-Martinez, Gabriel Southern, Elnaz Ebrahimi, Jose Renau

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013

An energy efficient GPGPU memory hierarchy with tiny incoherent caches.

Alamelu Sankaranarayanan, Ehsan K. Ardestani, José Luis Briz, Jose Renau

Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013

ESESC: A fast multicore simulator using Time-Based Sampling.

Ehsan K. Ardestani, Jose Renau

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013

ESESC: A fast performance, power, and temperature multicore simulator.

Ehsan K. Ardestani, Gabriel Southern, Jason Doung, Elnaz Ebrahimi, Jose Renau

Proceedings of the 2013 IEEE Hot Chips 25 Symposium (HCS), 2013

2012

Thermal-aware sampling in architectural simulation.

Ehsan K. Ardestani, Elnaz Ebrahimi, Gabriel Southern, Jose Renau

Proceedings of the International Symposium on Low Power Electronics and Design, 2012

CHAOS: Composable Highly Accurate OS-based power models.

John D. Davis, Suzanne Rivoire, Moisés Goldszmidt, Ehsan K. Ardestani

Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012

2010

Characterizing processor thermal behavior.

Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jose Renau

Proceedings of the 15th International Conference on Architectural Support for Programming Languages and Operating Systems, 2010

2009

Using randomization to cope with circuit uncertainty.

Hamid Safizadeh, Mohammad Tahghighi, Ehsan K. Ardestani, Gholamhossein Tavasoli, Kia Bazargan

Proceedings of the Design, Automation and Test in Europe, 2009

2008

A Fast Transformation-Based Synthesis Algorithm for Reversible Circuits.

Ehsan K. Ardestani, Morteza Saheb Zamani, Mehdi Sedighi

Proceedings of the 11th Euromicro Conference on Digital System Design: Architectures, 2008