AnyScale Applications
AnyScale Applications
批准号:
EP/L000725/1
负责人:
Jeremy Singer
金额:
$148.63万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
关键词:
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The ecosystem of compute devices is highly connected, and likely tobecome even more so as the internet-of-things concept is realized. There isa single underlying global protocol for communication which enables allconnected devices to interact, i.e. internet protocol (IP). In thisproject, we will create a corresponding single underlying global protocolfor computation. This will enable wireless sensors, smartphones,laptops, servers and cloud data centres to co-operate on what is conceptually a single task,i.e. an AnyScale app.A user might run an AnyScale app on her smartphone, then when the battery is runninglow, or wireless connectivity becomes available, the app may shift itscomputation to a cloud server automatically. This kind of runtime decisionmaking and taking is made possible by the AnyScale framework, which uses acost/benefit model and machine learning techniques to drive itsbehaviour.When the app is running on the phone, it cannot do very complexcalculations or use too much memory. However in a powerful server, thecomputations can be much larger and complicated. The AnyScale app willbehave in an appropriate way based on where it is running.In this project, we will create the tools, techniques and technology toenable software developers to create and deploy AnyScale apps. Our firstcase study will be to design a movement controller app, that allows a biped robot with realistic humanoid limbs to 'walk' over various kinds of terrain. Thisis a complex computational task - generally beyond the power of embeddedchips inside robotic limbs. Our AnyScale controller will offloadcomputation to computers on-board the robot, or wirelessly to nearbyservers or cloud-based systems. This is an ideal scenario for roboticexploration, e.g. of nuclear disaster sites.
期刊论文(10)
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Towards co-designed optimizations in parallel frameworks: A MapReduce case study
在并行框架中实现协同设计优化:MapReduce 案例研究
DOI:
10.48550/arxiv.1603.09679
发表时间:
2016
期刊:
影响因子:
--
作者:
[Barrett C]
通讯作者:
Barrett C
DOI:
10.1145/2754169.2754180
发表时间:
2015-06
期刊:
Proceedings of the 2015 International Symposium on Memory Management
影响因子:
--
作者:
[Callum Cameron;Jeremy Singer;D. Vengerov]
通讯作者:
Callum Cameron;Jeremy Singer;D. Vengerov
We are all economists now
我们现在都是经济学家了
DOI:
10.1145/2633301.2633304
发表时间:
2014
期刊:
影响因子:
--
作者:
[Cameron C]
通讯作者:
Cameron C
Languages and Compilers for Parallel Computing
用于并行计算的语言和编译器
DOI:
10.1007/978-3-540-85261-2_12
发表时间:
2008
期刊:
影响因子:
--
作者:
[Cornwall J]
通讯作者:
Cornwall J
On unifiers, diversifiers, and the nature of pattern recognition
关于统一者、多样化者和模式识别的本质
DOI:
10.1016/j.patrec.2015.04.014
发表时间:
2015
期刊:
Pattern Recognition Letters
影响因子:
5.1
作者:
[Brown G]
通讯作者:
Brown G
共 8 条
M4Secure: Making Memory Management More Secure
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批准号:EP/X037525/1
-
项目类别:Research Grant
-
资助金额:$58.34万
-
财政年份:2023
-
负责人:Jeremy Singer
-
依托单位:
Capabilities for Coders
-
批准号:EP/X015831/1
-
项目类别:Research Grant
-
资助金额:$13.1万
-
财政年份:2022
-
负责人:Jeremy Singer
-
依托单位:
Capable VMs
-
批准号:EP/V000349/1
-
项目类别:Research Grant
-
资助金额:$59.8万
-
财政年份:2020
-
负责人:Jeremy Singer
-
依托单位:
FRuIT: The Federated RaspberryPi Micro-Infrastructure Testbed
-
批准号:EP/P004024/1
-
项目类别:Research Grant
-
资助金额:$115.89万
-
财政年份:2017
-
负责人:Jeremy Singer
-
依托单位:
Manycore Research Innovation and Opportunities Network (MaRIONet)
-
批准号:EP/P006434/1
-
项目类别:Research Grant
-
资助金额:$11.67万
-
财政年份:2016
-
负责人:Jeremy Singer
-
依托单位:
国内基金
海外基金
Applications of AI in Market Design
-
批准号:--
-
项目类别:外国青年学者研 究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:Manshu Khanna
-
依托单位:
英文专著《FRACTIONAL INTEGRALS AND DERIVATIVES: Theory and Applications》的翻译
-
批准号:12126512
-
项目类别:数学天元基金项目
-
资助金额:12.0万元
-
批准年份:2021
-
负责人:李常品
-
依托单位:
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
-
批准号:52073127
-
项目类别:面上项目
-
资助金额:58.0万元
-
批准年份:2020
-
负责人:Alidad Amirfazli
-
依托单位: