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ORCIDRakesh Komuravelli
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2020 – today
- 2023
[c12]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:
MTIA: First Generation Silicon Targeting Meta's Recommendation Systems. ISCA 2023: 80:1-80:13- 2022
- [c11]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:
Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA 2022: 993-1011 - [c10]Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol:
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product. ISCA 2022: 1042-1057 - [i3]Benjamin Ghaemmaghami, Mustafa Ozdal, Rakesh Komuravelli, Dmitriy Korchev, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov:
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions. CoRR abs/2203.15837 (2022) - 2021
- [i2]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:
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR abs/2104.05158 (2021) - [i1]Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol:
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training. CoRR abs/2108.09373 (2021)
2010 – 2019
- 2018
- [c9]Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
HPVM: heterogeneous parallel virtual machine. PPoPP 2018: 68-80 - 2016
- [c8]Prakalp Srivastava, Maria Kotsifakou, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems. PACT 2016: 443-445 - [c7]Johnathan Alsop, Matthew D. Sinclair, Rakesh Komuravelli, Sarita V. Adve:
GSI: A GPU Stall Inspector to characterize the sources of memory stalls for tightly coupled GPUs. ISPASS 2016: 172-182 - 2015
- [c6]Rakesh Komuravelli, Matthew D. Sinclair, Johnathan Alsop, Muhammad Huzaifa, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Vikram S. Adve:
Stash: have your scratchpad and cache it too. ISCA 2015: 707-719 - [c5]Robert Smolinski, Rakesh Komuravelli, Hyojin Sung, Sarita V. Adve:
Eliminating on-chip traffic waste: are we there yet? ISPASS 2015: 163-164 - 2014
- [b1]Rakesh Komuravelli:
Exploiting software information for an efficient memory hierarchy. University of Illinois Urbana-Champaign, USA, 2014 - [j2]Hyojin Sung, Rakesh Komuravelli, Sarita V. Adve:
DeNovoND: Efficient Hardware for Disciplined Nondeterminism. IEEE Micro 34(3): 138-148 (2014) - [j1]Rakesh Komuravelli, Sarita V. Adve, Ching-Tsun Chou:
Revisiting the Complexity of Hardware Cache Coherence and Some Implications. ACM Trans. Archit. Code Optim. 11(4): 37:1-37:22 (2014) - 2013
- [c4]Hyojin Sung, Rakesh Komuravelli, Sarita V. Adve:
DeNovoND: efficient hardware support for disciplined non-determinism. ASPLOS 2013: 13-26 - 2011
- [c3]Byn Choi, Rakesh Komuravelli, Hyojin Sung, Robert Smolinski, Nima Honarmand, Sarita V. Adve, Vikram S. Adve, Nicholas P. Carter, Ching-Tsun Chou:
DeNovo: Rethinking the Memory Hierarchy for Disciplined Parallelism. PACT 2011: 155-166 - 2010
- [c2]Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Sung, Robert L. Bocchino Jr., Sarita V. Adve, John C. Hart:
Parallel SAH k-D tree construction. High Performance Graphics 2010: 77-86
2000 – 2009
- 2009
- [c1]Robert L. Bocchino Jr., Vikram S. Adve, Danny Dig, Sarita V. Adve, Stephen Heumann, Rakesh Komuravelli, Jeffrey Overbey, Patrick Simmons, Hyojin Sung, Mohsen Vakilian:
A type and effect system for deterministic parallel Java. OOPSLA 2009: 97-116
Coauthor Index
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