Ehsan K. Ardestani - researchr alias

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Viewing Publication 1 - 17 from 17

2023

MTIA: First Generation Silicon Targeting Meta's Recommendation SystemsAmin 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. isca 2023: [doi]

2022

Building a Performance Model for Deep Learning Recommendation Model Training on GPUsZhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens. hipc 2022: 48-58 [doi]

Building a Performance Model for Deep Learning Recommendation Model Training on GPUsZhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens. ispass 2022: 227-229 [doi]

Software-hardware co-design for fast and scalable training of deep learning recommendation modelsDheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan 0002, 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 0020, 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. isca 2022: 993-1011 [doi]

2018

GPU NTC Process Variation Compensation With Voltage StackingRafael Trapani Possignolo, Elnaz Ebrahimi, Ehsan K. Ardestani, Alamelu Sankaranarayanan, José Luis Briz, Jose Renau. tvlsi, 26(9):1713-1726, 2018. [doi]

2016

Managing Mismatches in Voltage Stacking with CoreUnfoldingEhsan K. Ardestani, Rafael Trapani Possignolo, José Luis Briz, Jose Renau. taco, 12(4):43, 2016. [doi]

2014

Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power DevicesAmirkoushyar Ziabari, Je-Hyoung Park, Ehsan K. Ardestani, Jose Renau, Sung-Mo Kang, Ali Shakouri. tvlsi, 22(11):2366-2379, 2014. [doi]

2013

2012

Thermal-aware sampling in architectural simulationEhsan K. Ardestani, Elnaz Ebrahimi, Gabriel Southern, Jose Renau. islped 2012: 33-38 [doi]

CHAOS: Composable Highly Accurate OS-based power modelsJohn D. Davis, Suzanne Rivoire, Moisés Goldszmidt, Ehsan K. Ardestani. iiswc 2012: 153-163 [doi]

2010

Characterizing processor thermal behaviorFrancisco J. Mesa-Martinez, Ehsan K. Ardestani, Jose Renau. asplos 2010: 193-204 [doi]

2009

Using randomization to cope with circuit uncertaintyHamid Safizadeh, Mohammad Tahghighi, Ehsan K. Ardestani, Gholamhossein Tavasoli, Kia Bazargan. date 2009: 815-820 [doi]

2008

A Fast Transformation-Based Synthesis Algorithm for Reversible CircuitsEhsan K. Ardestani, Morteza Saheb Zamani, Mehdi Sedighi. dsd 2008: 803-806 [doi]

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