Ehsan K. Ardestani

24 papers A* 5A 5B 1C 1Misc 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory. HPCA Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li
2025	J	`jnl`	Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory. CoRR Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li
2024	A	`conf`	Toward 100TB Recommendation Models with Embedding Offloading. RecSys Intaik Park, Ehsan K. Ardestani, Damian Reeves, Sarunya Pumma, Henry Tsang, Levy Zhao, Jian He, Joshua Deng, Dennis van der Staay, Yu Guo, Paul Zhang
2023	A*	`conf`	MTIA: First Generation Silicon Targeting Meta's Recommendation Systems. ISCA 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
2023	J	`jnl`	MTrainS: Improving DLRM training efficiency using heterogeneous memories. CoRR Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald G. Dreslinski, Ehsan K. Ardestani
2022	Misc	`conf`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. HIPC Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	B	`conf`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. ISPASS Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	J	`jnl`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. CoRR Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	A*	`conf`	Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA 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
2022	A	`conf`	Supporting Massive DLRM Inference through Software Defined Memory. ICDCS 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
2021	J	`jnl`	High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR 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
2021	J	`jnl`	Supporting Massive DLRM Inference Through Software Defined Memory. CoRR 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
2018	J	`jnl`	GPU NTC Process Variation Compensation With Voltage Stacking. IEEE Trans. Very Large Scale Integr. Syst. Rafael Trapani Possignolo, Elnaz Ebrahimi, Ehsan K. Ardestani, Alamelu Sankaranarayanan, José Luis Briz, Jose Renau
2016	J	`jnl`	Managing Mismatches in Voltage Stacking with CoreUnfolding. ACM Trans. Archit. Code Optim. Ehsan K. Ardestani, Rafael Trapani Possignolo, José Luis Briz, Jose Renau
2014	J	`jnl`	Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power Devices. IEEE Trans. Very Large Scale Integr. Syst. Amirkoushyar Ziabari, Je-Hyoung Park, Ehsan K. Ardestani, Jose Renau, Sung-Mo Kang, Ali Shakouri
2013	A	`conf`	An energy efficient GPGPU memory hierarchy with tiny incoherent caches. ISLPED Alamelu Sankaranarayanan, Ehsan K. Ardestani, José Luis Briz, Jose Renau
2013	A*	`conf`	ESESC: A fast multicore simulator using Time-Based Sampling. HPCA Ehsan K. Ardestani, Jose Renau
2013	—	`conf`	ESESC: A fast performance, power, and temperature multicore simulator. Hot Chips Symposium Ehsan K. Ardestani, Gabriel Southern, Jason Doung, Elnaz Ebrahimi, Jose Renau
2013	J	`jnl`	Sampling in Thermal Simulation of Processors: Measurement, Characterization, and Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ehsan K. Ardestani, Francisco J. Mesa-Martinez, Gabriel Southern, Elnaz Ebrahimi, Jose Renau
2012	—	`conf`	CHAOS: Composable Highly Accurate OS-based power models. IISWC John D. Davis, Suzanne Rivoire, Moisés Goldszmidt, Ehsan K. Ardestani
2012	A	`conf`	Thermal-aware sampling in architectural simulation. ISLPED Ehsan K. Ardestani, Elnaz Ebrahimi, Gabriel Southern, Jose Renau
2010	A*	`conf`	Characterizing processor thermal behavior. ASPLOS Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jose Renau
2009	A	`conf`	Using randomization to cope with circuit uncertainty. DATE Hamid Safizadeh, Mohammad Tahghighi, Ehsan K. Ardestani, Gholamhossein Tavasoli, Kia Bazargan
2008	C	`conf`	A Fast Transformation-Based Synthesis Algorithm for Reversible Circuits. DSD Ehsan K. Ardestani, Morteza Saheb Zamani, Mehdi Sedighi