Zach Miller, Olusiji Medaiyese, Madhavan Ravi, Alex Beatty, Fred Lin
Meta deploys large-scale distributed storage services across datacenters. Storage applications are often categorized based on the type and temperature of the data stored: hot, ...
Research from Meta
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Siying Dong, Satadru Pan, Abhinav Sharma, Albert Kim, Anand Ananthabhotla, Dhanabal Ekambaram, Jay Zhuang, Nishant Vinaybhai Parikh, Sam Dunster, Shiva Shankar P, Shobhit Dayal, Sushil Patil, Yanqin Jin, Akanksha Mahajan, Anirudh Chelluri, Chaitanya Datye, Lucas Vasconcelos Santana, Nitin Garg, Omkar Gawde
RocksDB is an open-source storage engine widely used inside and outside of Meta. Historically, it was mainly used for storing data on local SSDs.
Yutian James Sun, Tim Meehan, Rebecca Schlussel, Wenlei Xie, Masha Basmanova, Orri Erling, Andrii Rosa, Shixuan Fan, Rongrong Zhong, Arun Thirupathi, Nikhil Collooru, Ke Wang, Sameer Agarwal, Arjun Gupta, Dionysios Logothetis, Kostas Xirogiannopoulos, Bin Fan, Amit Dutta, Varun Gajjala, Rohit Jain, Ajay Palakuzhy, Prithvi Pandian, Sergey Pershin, Abhisek Saikia, Pranjal Shankhdhar, Neerad Somanchi, Swapnil Tailor, Jialiang Tan, Sreeni Viswanadha, Zac Wen, Deepak Majeti, Aditi Pandit, Biswapesh Chattopadhyay
Presto is an open-source distributed SQL query engine that supports analytics workloads involving multiple exabyte-scale data sources. Presto is used for low-latency interactive...
Areas
Ellis Hoag, Kyungwoo Lee, Sergey Pupyrev, Julián Mestre
In this paper we develop the first principled solution for optimizing function layouts in the mobile space.
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
This paper focuses on this new class of ML workloads referred to as multi-task multi-model ML workloads, specifically in the context of extended reality for metaverse use cases.
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
In this work, we explore a “pre-train, and search” paradigm for efficient sharding.
Lisa Rivalin, Andrew Grier, Tobias Tiecke, Chi Zhou, Doris Gao, Prakriti Choudhury, John Fabian
This paper presents an application of these models in an actual data center in the United States with a successful prediction of the thermal behavior within 1 degree Fahrenheit...
Nadia Alshahwan, Mark Harman, Alexandru Marginean
In this paper we highlight open research problems and challenges from an industrial perspective. This perspective draws on our experience at Meta Platforms, which has been...
Shreshth Tuli, Kinga Bojarczuk, Natalija Gucevska, Mark Harman, Xiao-Yu Wang, Graham Wright
This is the first work to report on inferential testing at scale in industry. Specifically, it reports the experience of automated testing of integrity systems at Meta. We built...
Yuhao Li, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin C. Lee
This paper discusses challenges and techniques in optimizing HHVM performance for Meta’s web service.