Rakesh Komuravelli

According to our database, Rakesh Komuravelli authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

Learning to Collide: Recommendation System Model Compression with Learned Hash Functions.

Benjamin Ghaemmaghami, Mustafa Ozdal, Rakesh Komuravelli, Dmitriy Korchev, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov

CoRR, 2022

Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.

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

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

2021

Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.

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

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

HPVM: heterogeneous parallel virtual machine.

Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

2016

GSI: A GPU Stall Inspector to characterize the sources of memory stalls for tightly coupled GPUs.

Johnathan Alsop, Matthew D. Sinclair, Rakesh Komuravelli, Sarita V. Adve

Proceedings of the 2016 IEEE International Symposium on Performance Analysis of Systems and Software, 2016

POSTER: hVISC: A Portable Abstraction for Heterogeneous Parallel Systems.

Prakalp Srivastava, Maria Kotsifakou, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Eliminating on-chip traffic waste: are we there yet?

Robert Smolinski, Rakesh Komuravelli, Hyojin Sung, Sarita V. Adve

Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software, 2015

Stash: have your scratchpad and cache it too.

Rakesh Komuravelli, Matthew D. Sinclair, Johnathan Alsop, Muhammad Huzaifa, Maria Kotsifakou, Prakalp Srivastava, Sarita V. Adve, Vikram S. Adve

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

2014

Exploiting software information for an efficient memory hierarchy

Rakesh Komuravelli

PhD thesis, 2014

Revisiting the Complexity of Hardware Cache Coherence and Some Implications.

Rakesh Komuravelli, Sarita V. Adve, Ching-Tsun Chou

ACM Trans. Archit. Code Optim., 2014

DeNovoND: Efficient Hardware for Disciplined Nondeterminism.

Hyojin Sung, Rakesh Komuravelli, Sarita V. Adve

IEEE Micro, 2014

2013

DeNovoND: efficient hardware support for disciplined non-determinism.

Hyojin Sung, Rakesh Komuravelli, Sarita V. Adve

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2013

2011

DeNovo: Rethinking the Memory Hierarchy for Disciplined Parallelism.

Byn Choi, Rakesh Komuravelli, Hyojin Sung, Robert Smolinski, Nima Honarmand, Sarita V. Adve, Vikram S. Adve, Nicholas P. Carter, Ching-Tsun Chou

Proceedings of the 2011 International Conference on Parallel Architectures and Compilation Techniques, 2011

2010

Parallel SAH k-D tree construction.

Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Sung, Robert L. Bocchino Jr., Sarita V. Adve, John C. Hart

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Conference on High Performance Graphics 2010, 2010

2009

A type and effect system for deterministic parallel Java.

Robert L. Bocchino Jr., Vikram S. Adve, Danny Dig, Sarita V. Adve, Stephen Heumann, Rakesh Komuravelli, Jeffrey Overbey, Patrick Simmons, Hyojin Sung, Mohsen Vakilian

Proceedings of the 24th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2009