Hadi Esmaeilzadeh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
13
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | IroKnight: Ownership-Preserving Neural Acceleration for Inference Serving. | Harsha Santhanam, Ashwin Rohit Alagiri Rajan, Hadi Esmaeilzadeh |
| 2026 | ISCA | Accelerator Polymorphism: Transcending Domain-Specific Architectures with Robotics. | Hanyang Xu, Seongryong Oh, Yubin Lee, Ashwin Rohit Alagiri Rajan, Rohan Mahapatra, Om Patil, Yuchuan Li, Jongse Park, Hadi Esmaeilzadeh |
| 2025 | ISCA | In-Storage Acceleration of Retrieval Augmented Generation as a Service. | Rohan Mahapatra, Harsha Santhanam, Christopher Priebe, Hanyang Xu, Hadi Esmaeilzadeh |
| 2024 | ASPLOS | Tandem Processor: Grappling with Emerging Operators in Neural Networks. | Soroush Ghodrati, Sean Kinzer, Hanyang Xu, Rohan Mahapatra, Yoonsung Kim, Byung Hoon Ahn, Dong Kai Wang, Lavanya Karthikeyan, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Hadi Esmaeilzadeh |
| 2024 | ASPLOS | In-Storage Domain-Specific Acceleration for Serverless Computing. | Rohan Mahapatra, Soroush Ghodrati, Byung Hoon Ahn, Sean Kinzer, Shu-Ting Wang, Hanyang Xu, Lavanya Karthikeyan, Hardik Sharma, Amir Yazdanbakhsh, Mohammad Alian, Hadi Esmaeilzadeh |
| 2024 | HPCA | Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators. | Shu-Ting Wang, Hanyang Xu, Amin Mamandipoor, Rohan Mahapatra, Byung Hoon Ahn, Soroush Ghodrati, Krishnan Kailas, Mohammad Alian, Hadi Esmaeilzadeh |
| 2023 | ISCA | MESA: Microarchitecture Extensions for Spatial Architecture Generation. | Dong Kai Wang, Jiaqi Lou, Naiyin Jin, Edwin Mascarenhas, Rohan Mahapatra, Sean Kinzer, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Nam Sung Kim |
| 2022 | DAC | Glimpse: mathematical embedding of hardware specification for neural compilation. | Byung Hoon Ahn, Sean Kinzer, Hadi Esmaeilzadeh |
| 2022 | ISCA | Accelerating attention through gradient-based learned runtime pruning. | Zheng Li, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Mingu Kang |
| 2021 | HPCA | A Computational Stack for Cross-Domain Acceleration. | Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh |
| 2021 | ICCAD | VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis. | Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng |
| 2021 | WWW | Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. | Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh |
| 2020 | ASPLOS | Shredder: Learning Noise Distributions to Protect Inference Privacy. | Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Ali Jalali, Dean M. Tullsen, Hadi Esmaeilzadeh |
| 2020 | DAC | Bit-Parallel Vector Composability for Neural Acceleration. | Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh |
| 2020 | ICLR | Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation. | Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh |
| 2020 | ICML | Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks. | Ahmed Taha Elthakeb, Prannoy Pilligundla, Fatemeh Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh |
| 2020 | MICRO | Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. | Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh |
| 2019 | ISCA | AxMemo: hardware-compiler co-design for approximate code memoization. | Zhenhong Liu, Amir Yazdanbakhsh, Dong Kai Wang, Hadi Esmaeilzadeh, Nam Sung Kim |
| 2018 | FCCM | FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks. | Amir Yazdanbakhsh, Michael Brzozowski, Behnam Khaleghi, Soroush Ghodrati, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh |
| 2018 | ISCA | SnaPEA: Predictive Early Activation for Reducing Computation in Deep Convolutional Neural Networks. | Vahideh Akhlaghi, Amir Yazdanbakhsh, Kambiz Samadi, Rajesh K. Gupta, Hadi Esmaeilzadeh |
| 2018 | ISCA | RoboX: An End-to-End Solution to Accelerate Autonomous Control in Robotics. | Jacob Sacks, Divya Mahajan, Richard Connor Lawson, Hadi Esmaeilzadeh |
| 2018 | ISCA | Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. | Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh |
| 2018 | ISCA | GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks. | Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh |
| 2018 | MICRO | A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. | Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim |
| 2017 | MICRO | Scale-out acceleration for machine learning. | Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh |
| 2016 | ASPLOS | AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing. | Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh |
| 2016 | DATE | Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. | Atieh Lotfi, Abbas Rahimi, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Rajesh K. Gupta |
| 2016 | HPCA | TABLA: A unified template-based framework for accelerating statistical machine learning. | Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh |
| 2016 | ISCA | Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration. | Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh |
| 2016 | MICRO | From high-level deep neural models to FPGAs. | Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh |
| 2015 | CASES | Approximate acceleration: A path through the era of dark silicon and big data. | Hadi Esmaeilzadeh |
| 2015 | DATE | Axilog: language support for approximate hardware design. | Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan |
| 2015 | HPCA | SNNAP: Approximate computing on programmable SoCs via neural acceleration. | Thierry Moreau, Mark Wyse, Jacob Nelson, Adrian Sampson, Hadi Esmaeilzadeh, Luis Ceze, Mark Oskin |
| 2015 | MICRO | Neural acceleration for GPU throughput processors. | Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh |
| 2014 | ISCA | General-purpose code acceleration with limited-precision analog computation. | Rene St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger |
| 2014 | ISCA | A reconfigurable fabric for accelerating large-scale datacenter services. | Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James R. Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger |
| 2013 | HPCA | How to implement effective prediction and forwarding for fusable dynamic multicore architectures. | Behnam Robatmili, Dong Li, Hadi Esmaeilzadeh, Madhu Saravana Sibi Govindan, Aaron Smith, Andrew Putnam, Doug Burger, Stephen W. Keckler |
| 2012 | ASPLOS | Architecture support for disciplined approximate programming. | Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger |
| 2012 | MICRO | Neural Acceleration for General-Purpose Approximate Programs. | Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug Burger |
| 2011 | ASPLOS | Looking back on the language and hardware revolutions: measured power, performance, and scaling. | Hadi Esmaeilzadeh, Ting Cao, Xi Yang, Stephen M. Blackburn, Kathryn S. McKinley |
| 2011 | ISCA | Dark silicon and the end of multicore scaling. | Hadi Esmaeilzadeh, Emily R. Blem, Rene St. Amant, Karthikeyan Sankaralingam, Doug Burger |
| 2006 | ISCAS | DCim++: a C++ library for object oriented hardware design and distributed simulation. | Hadi Esmaeilzadeh, A. Moghimi, Eiman Ebrahimi, Caro Lucas, Zainalabedin Navabi, A. M. Fakhraie |
| 2006 | ISCAS | Neural network stream processing core (NnSP) for embedded systems. | Hadi Esmaeilzadeh, Pooya Saeedi, Babak Nadjar Araabi, Caro Lucas, Seid Mehdi Fakhraie |
| 2003 | ISCAS | A novel improvement technique for high-level test synthesis. | Saeed Safari, Hadi Esmaeilzadeh, Amir-Hossein Jahangir |