CiC (RDDC): Commoditizing Data-Intensive Biocomputing in the Cloud
CiC (RDDC): Commoditizing Data-Intensive Biocomputing in the Cloud
批准号:
1048253
负责人:
Wuchun Feng
金额:
$37.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-15 至 2016-03-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
In the life sciences, today?s DNA sequencers can generate a terabyte (or 1 trillion bytes) of data in a minute. As a consequence, the size of DNA sequence databases is growing faster than they can be computed upon with a personal computer. Thus, scientists and engineers must increasingly rely on the parallelism of high-performance computing (HPC) to keep pace. Unfortunately, not only are such HPC resources costly to own and maintain, but they are also difficult to access and use. The MetaRx software environment addresses the above issues by transforming and commoditizing cloud computing infrastructures, such as Microsoft Azure, to massively accelerate the discovery process for scientists and engineers. This transformation and commoditization of cloud computing provides scientists with the capability of provisioning large amounts of computational and storage resources via an easy-to-use interface to the cloud, including the capability of ?teleporting? data via a ?WonkaVision for scientific data? metaphor. With computing widely recognized as the third pillar of science, complementing the traditional pillars of theory and experimentation, and with data-intensive scientific discovery emerging as a fourth pillar (or fourth paradigm) of science, MetaRx empowers the domain scientist to focus on his/her science rather than the minutia of high-performance computing.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: Workshop Series on Sustainable Computing
-
批准号:2125999
-
项目类别:Standard Grant
-
资助金额:$0.8万
-
财政年份:2021
-
负责人:Wuchun Feng
-
依托单位:
RAPID: Higher Accuracy and Availability of COVID-19 Testing and Monitoring via Post-CT Image Boosting and Analysis
-
批准号:2031215
-
项目类别:Standard Grant
-
资助金额:$15.0万
-
财政年份:2020
-
负责人:Wuchun Feng
-
依托单位:
RAPID: A Computational Deep-Learning Approach for Fast, Accurate CT Testing and Monitoring of COVID-19
-
批准号:2027607
-
项目类别:Standard Grant
-
资助金额:$20.0万
-
财政年份:2020
-
负责人:Wuchun Feng
-
依托单位:
Phase-I IUCRC Virginia Tech: Center for Space, High-performance, and Resilient Computing (SHREC)
-
批准号:1822080
-
项目类别:Continuing Grant
-
资助金额:$60.0万
-
财政年份:2018
-
负责人:Wuchun Feng
-
依托单位:
NSF XPS Workshop for Exploiting Parallelism and Scalability
-
批准号:1451021
-
项目类别:Standard Grant
-
资助金额:$8.48万
-
财政年份:2014
-
负责人:Wuchun Feng
-
依托单位:
EAGER: Collaborative Research: Democratizing the Teaching of Parallel Computing Concepts
-
批准号:1353786
-
项目类别:Standard Grant
-
资助金额:$26.0万
-
财政年份:2013
-
负责人:Wuchun Feng
-
依托单位:
XPS: SDA: Collaborative Research: A Scalable and Distributed System Framework for Compute-Intensive and Data-Parallel Applications
-
批准号:1337131
-
项目类别:Standard Grant
-
资助金额:$37.5万
-
财政年份:2013
-
负责人:Wuchun Feng
-
依托单位:
BIGDATA: Mid-Scale: DA: Collaborative Research: Genomes Galore - Core Techniques, Libraries, and Domain Specific Languages for High-Throughput DNA Sequencing
-
批准号:1247693
-
项目类别:Standard Grant
-
资助金额:$35.0万
-
财政年份:2013
-
负责人:Wuchun Feng
-
依托单位:
MRI-R2: Acquisition of a Heterogeneous Supercomputing Instrument for Transformative Interdisciplinary Research
-
批准号:0960081
-
项目类别:Standard Grant
-
资助金额:$199.25万
-
财政年份:2010
-
负责人:Wuchun Feng
-
依托单位:
CSR: Small: Collaborative Research: Hybrid Opportunistic Computing for Green Clouds
-
批准号:0916719
-
项目类别:Continuing Grant
-
资助金额:$15.02万
-
财政年份:2009
-
负责人:Wuchun Feng
-
依托单位:
海外基金