INSERT INTO sites(host) VALUES('') 1045: Access denied for user 'www-data'@'localhost' (using password: NO) Estimated Worth $194,587 - MYIP.NET Website Information
Welcome to!
 Set MYIP as homepage      


Web Page Information

Meta Description:
Meta Keywords:
sponsored links:
sponsored links:

Traffic and Estimation


Website Ranks

Alexa Rank:
Google Page Rank:
Sogou Rank:
Baidu Cache:

Search Engine Indexed

Search EngineIndexedLinks

Server Data

Web Server:
IP address:    

Registry information

ICANN Registrar:
Name Server:
Whois Server:

Alexa Rank and trends

Traffic: Today One Week Avg. Three Mon. Avg.
Unique IP:

More ranks in the world

Users from these countries/regions

Where people go on this site

Alexa Charts

Alexa Reach and Rank

Whois data

Who is at

Domain Name: FINDAI.NET

Registry Domain ID: 2146604929_DOMAIN_NET-VRSN

Registrar WHOIS Server:

Registrar URL:

Updated Date: 2017-10-08T07:02:49Z

Creation Date: 2017-07-25T13:44:19Z

Registry Expiry Date: 2023-07-25T13:44:19Z

Registrar: Alibaba Cloud Computing (Beijing) Co., Ltd.

Registrar IANA ID: 420

Registrar Abuse Contact Email: DomainAbuse

Registrar Abuse Contact Phone: +86.95187

Domain Status: ok

Name Server:

Name Server:

DNSSEC: unsigned

URL of the ICANN Whois Inaccuracy Complaint Form:

>>> Last update of whois database: 2018-10-20T21:42:54Z <<<

For more information on Whois status codes, please visit

The expiration date displayed in this record is the date the

registrar's sponsorship of the domain name registration in the registry is

currently set to expire. This date does not necessarily reflect the expiration

date of the domain name registrant's agreement with the sponsoring

registrar. Users may consult the sponsoring registrar's Whois database to

view the registrar's reported date of expiration for this registration.

You are not authorized to access or query our Whois

database through the use of electronic processes that are high-volume and

automated except as reasonably necessary to register domain names or

modify existing registrations; the Data in VeriSign Global Registry

Services' ("VeriSign") Whois database is provided by VeriSign for

information purposes only, and to assist persons in obtaining information

about or related to a domain name registration record. VeriSign does not

guarantee its accuracy. By submitting a Whois query, you agree to abide

by the following terms of use: You agree that you may use this Data only

for lawful purposes and that under no circumstances will you use this Data

(1) allow, enable, or otherwise support the transmission of mass

unsolicited, commercial advertising or solicitations via e-mail, telephone,

or facsimile; or (2) enable high volume, automated, electronic processes

that apply to VeriSign (or its computer systems). The compilation,

repackaging, dissemination or other use of this Data is expressly

prohibited without the prior written consent of VeriSign. You agree not to

use electronic processes that are automated and high-volume to access or

query the Whois database except as reasonably necessary to register

domain names or modify existing registrations. VeriSign reserves the right

to restrict your access to the Whois database in its sole discretion to ensure

operational stability. VeriSign may restrict or terminate your access to the

Whois database for failure to abide by these terms of use. VeriSign

reserves the right to modify these terms at any time.

The Registry database contains ONLY .COM, .NET, .EDU domains and


Front Page Thumbnail

sponsored links:

Front Page Loading Time

Keyword Hits (Biger,better)

Other TLDs of findai

TLDs Created Expires Registered

Similar Websites


Search Engine Spider Emulation

BigData Processing
Machine Learning Algorithms and Applications
GPU Heterogeneous Computing
Intelligent Information Processing
Tensor Model and Computation
High-performance tensor theory and deep learning applications on GPU hardware.
Read more
Large-scale Graph Data Processing
Computation model and framework for incremental graph computation on GPU clusters.
Read more
Powerful Many-Core GPUs
Exploit commodity GPU hardware to accelerate data processing and artificial intelligence.
Read more
Research Statement
Intelligent Information Processing(IIP) Lab (鏅鸿兘淇℃伅澶勭悊鐮旂┒瀹) was founded by Dr. Tao Zhang in 2015.
The IIP Lab conducts research in all aspects of computer systems, with a primary focus on:
Big Data Processing
Machine Learning Algorithms and Applications
GPU Heterogeneous Computing
Intelligent Information Processing
Our research also involves other disciplines such as computer architecture and general parallel computing systems. The research themes of IIP Lab are improving the performance, scalability, productivity, availability, and reliability of distributed and centralized computer systems.
We have built a number of systems and software tools to improve the performance and engery efficiency of computer systems. Examples include a single-PC hybrid CPU and GPU graph computation platform (gGraph), a distributed graph computation platform on heterogeneous CPU and GPU cloud (HGraph), an open-source software library for characterizing and load balancing irregular applications on GPUs (cuIRRE), and two energy-efficient GPU architecture (Buddy SM) and (eDRAM-Based On-Chip storage).
Now, there are three faculty members, four master students and several undergraduate students in the lab. Our lab is supported by : Natural Science Foundation of China, Natural Science Foundation of Shanghai,Shanghai Innovation Action Plan Project, and Shanghai Educational Commission. And several collaborative research projects are going on between our lab and other research institutes including University of New Mexico, and Shanghai Jiao Tong University.
Latest Research
Tensor completion on GPUs
Accelerate low-tubal-rank tensor completion on a Nvidia M40 GPU and gain 20x and higher speedups.
Read more
Incremental graph computing on GPUs
The CPU and GPU processors work hybridly using the Update-Gather-Apply-Scatter computation model iteratively.
Read more
Join US
The lab is looking for collaborative researchers such as PhD or master students who are:
interested in machine learning, GPU heterogeneous computing, and Big data processing.
with good skills on mathematics(especially statistical math.), algorithms, and programming.
with good English reading and writing skills.
interested in research.
We provide:
guidances on research.
training on academic English paper writing.
experiences on research and engineering projects.
experiment equipments and so on.
Welcome joining! You can contact us by email(taozhang [at] shu [dot] edu [dot] cn) or pay a visit to our lab.
Lab Value
Learned and practiced with time
From The Blog
Hyperscale data centers reached over 390 worldwide in 2017
Dec. 30, 2017 / 1 Comment
Hyperscale operators are defined as enormous companies like Amazon, Apple, Facebook and Google...
Nvidia Volta GPU: bring AI to every industry
Dec. 25, 2017 / 1 Comment
NVIDIA Volta is the new driving force behind artificial intelligence. Volta will fuel breakthroughs in every industry...
Machine learning comes to your browser via JavaScript
Dec. 20, 2017 / 1 Comment
A new JavaScript library runs Google's TensorFlow right in the browser with GPU acceleration鈥攁 novel way to bring...
School of Computer Engineering and Science,Shanghai University
333 Nanchen Road, BaoShan District, Shanghai 200444, China.
copy; Copyright 2015-2018 IIP Lab @ SHU All rights reserved.

Updated Time

Friend links: ProxyFire    More...
Site Map 1 2 3 4 5 6 7 8 9 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 250 300 350 400 450 500 550 600 610 620 630 640 650 660 670 680 690 700 710 720 730 740 750
TOS | Contact us
© 2009 Dev by MYIP Elapsed:1.589ms