Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Jianyu Huang’s |
Description | --> Jianyu Huang Research Scientist Meta Platforms, Inc. 1 Hacker Way, Menlo Park, CA 94025 Email: hjyahead [AT] gmail [DOT] com I am a Research Scient |
Keywords | N/A |
WebSite | jianyuhuang.com |
Host IP | 185.199.110.153 |
Location | - |
Site | Rank |
US$1,274
Last updated: 2023-05-20 05:54:08
jianyuhuang.com has Semrush global rank of 0. jianyuhuang.com has an estimated worth of US$ 1,274, based on its estimated Ads revenue. jianyuhuang.com receives approximately 147 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, jianyuhuang.com is safe to visit. |
Purchase/Sale Value | US$1,274 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$35 |
Yearly Ads Revenue | US$423 |
Daily Unique Visitors | 9 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
jianyuhuang.com. | A | 599 | IP: 185.199.110.153 |
jianyuhuang.com. | A | 599 | IP: 185.199.108.153 |
jianyuhuang.com. | A | 599 | IP: 185.199.111.153 |
jianyuhuang.com. | A | 599 | IP: 185.199.109.153 |
jianyuhuang.com. | NS | 3600 | NS Record: ns19.domaincontrol.com. |
jianyuhuang.com. | NS | 3600 | NS Record: ns20.domaincontrol.com. |
jianyuhuang.com. | TXT | 3600 | TXT Record: google-site-verification=td50_i_NOJvSPe3_O0w-dWr2QVfw4jMhLCluwmTtRlo |
--> Jianyu Huang Research Scientist Meta Platforms, Inc. 1 Hacker Way, Menlo Park, CA 94025 Email: hjyahead [AT] gmail [DOT] com I am a Research Scientist at Meta. My interests lie in improving the performance of machine learning applications and simplifying the programming model for parallel computing. Before joining Meta, I got my CS PhD from UT Austin (Advisor: Prof. Robert van de Geijn ). If you want to know more about the performance optimizations for matrix multiplication (one of the most important building blocks for deep learning), you might be interested in how to optimize GEMM and BLISlab . If you want to learn about the practical implementations of the fast matrix multiplication algorithms like Strassen’s algorithm , you might be interested in my thesis . Publications Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models [ PDF ] [ BibTex ] Dheevatsa Mudigere*, Yuchen Hao*, Jianyu Huang* , Andrew Tulloch, Srinivas Sridharan, |
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