Events:
- Gordon for genomics research (2012.09.26) - how a HPC system armed for large data problem
- Knome launches genome supercomputer (2012.09.27) - server in a box to crunch NGS data
Monday, September 26, 2011
jPage: Genomics
Events:
Saturday, September 24, 2011
Friday, September 23, 2011
jGuide: Institutions
Supercomputing Center
The following are leading supercomputing centers based on the campus of elite research universities:
The following are leading supercomputing centers based on the campus of elite research universities:
jBook: Analytics
Convergence
Overview
Tools
Systems
Update:
Overview
Tools
- Analytics System
- Full-suite Business Analytics
- Pentaho (business analytics with Hadoop)
- Big Data Anlytics
- Datameer (Hadoop analytics software application)
- Enterprise Application
- Varicent (sale performance management)
- Content Analytics
- IBM LanguageWare (Natural Language Processing)
Systems
Update:
- 2012.09.23 - jBook published
jBook: HPC
Convergence
Journey Series:
Software
Architecture
Systems
Update:
Journey Series:
- jSeries: HPC Rulebook
- jSeries: BigCompute (laying out HPC use cases for various vertical fields)
Software
- File System
Architecture
- Web Architecture
- Reference Architecture
Systems
Update:
- 2012.09.23: jBook-HPC published
jBook: Cloud
Convergence
Platforms
Appliances
Tools
Other Blogs:
Update:
Platforms
- Amazon AWS
- IBM SmartCloud
Appliances
Tools
- Cloud Software
- OpenStack (Open-source Cloud software)
- IBM HPC Management Suite for Cloud (HPC Cloud software)
- IBM SmartCloud Provisioning (IaaS tool)
Other Blogs:
Update:
- 2012.09.24 - jBook-Cloud published
jBook: Big Data HPC
HPC moves Big Data from batch orientation to real-time, mission
critical, and helps deliver real time answers to real time data analysis. It is
also assisted by intelligence built into storage with examples including IBM GPFS-SNC and Intel True Scale
Fabric optimizing for big data on interconnects.
Initiative:
Issues:
Events:
Update:
Initiative:
Issues:
Events:
- Wings Beneath the Wind (2012.03) - a case study of combined HPC/Big Data implementation
- Gordon for genomics research (2012.09.26) - how a HPC system armed for large data problem
Update:
- 2012.09.23 - creating this page as part of jBook
- 2012.09.26 - added Gordon
Monday, September 12, 2011
Watson Debuts for Healthcare
Watson, the "Jeopardy!"-playing IBM supercomputer, is getting a new job.
The first Watson deployment would come early next year with WellPoint nurses who manage complex patient cases and review treatment requests from medical providers.
The second project, targeted to begin in 2012, will enlist several hundred oncologists who are not WellPoint employees but can access the system through their own computer or tablets. The doctors will be able to query the Watson-based application to help them decide on the best treatment for individual patients. In addition, the application will eventually essentially read over the physicians shoulders when they’re researching a case and offer additional information based on what they’re looking at.
“This could be game changing. It changes the dynamics of healthcare,” says Dr. Anthony Nguyen, senior vice president of care management at WellPoint. “But people are skeptical and we have to work with them to win over some thought leaders.”
Nguyen says he was thrilled when he first watched Watson in action on Jeopardy! via YouTube clips. “I’m impressed with the capability of Watson to process so much information in such a small amount of time,” he says. “A doctor doesn’t have to perform a plethora of tests. This is like having a room full of the top experts to help him diagnose. It puts him on par with the world’s experts, which gives him greater confidence that he’s doing the right thing for his patients.”
WellPoint ultimately wants to provide the Watson service more broadly to physicians who treat complicated chronic conditions, and they hope to create an application that could be accessed directly by patients seeking health information.
Researchers have been trying since the 1970s to develop computers that can advise doctors, but the efforts haven't gotten much traction. Now, though, the health industry is under unprecedented pressure to digitize. At the same time, medical providers are increasingly paid based at least partly on quality-of-care measures.
Electronic medical records already often incorporate at least rudimentary "clinical decision support" tools, such as automatic warnings about possible drug interactions. Others integrate more complex versions, like a service from Anvita Health Inc. that can make treatment recommendations and one from Isabel Healthcare Inc. that focuses on suggesting potential diagnoses.
Oncologists said they would like to test a technology like Watson that could take on their most complicated questions. But, they said, it would be important to understand the process and data that led to the recommendations—and to be sure the computer system was programmed to seek out the most effective options, with cost a secondary consideration.
Watson hasn't yet been used in a real-world health setting. Researchers at Columbia University and the University of Maryland have been helping IBM to select medical data, including textbooks and treatment guidelines, and to help integrate Watson capabilities into electronic medical records. They say they have tested it using thousands of medical-quiz questions.
Herbert Chase, a Columbia professor of clinical medicine who is an IBM consultant, said he tried on Watson a tough case he had experienced as a young doctor: a woman in her thirties with severe muscle weakness, who had blood tests indicating a low level of phosphate and elevated alkaline phosphatase, an enzyme. Watson's top suggestions were hyperparathyroidism and rickets. It also flagged the possibility of a rare form of rickets that is vitamin D resistant—which the woman indeed had. Dr. Chase said Watson displays excerpts to identify its data sources.
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