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Holly Marie Garner, Age 466001 Battleford Dr, Raleigh, NC 27612

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Known as:
Holly M Garner Holly Marie Olson Holly M Olson Holly Mccutcheon Olson H Mccutcheon
Related to:
Randy D Killen 44

Holly Garner Phones & Addresses

6001 Battleford Dr, Raleigh, NC 27612 (919) 916-5741

Cresco, IA

Smithfield, VA

Iowa City, IA

Cedar Rapids, IA

Tiffin, IA

Brooklyn, IA

Bellaire, MI

Cedar Falls, IA

Waterloo, IA

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Mentions for Holly Marie Garner

Career records & work history

Medicine Doctors

Holly R. Garner

Specialties:
Nephrology
Work:
Metrolina Nephrology Associates
2711 Randolph Rd STE 400, Charlotte, NC 28207
(704) 348-2992 (phone) (704) 334-3061 (fax)
Site
Languages:
English, Spanish
Description:
Ms. Garner works in Charlotte, NC and specializes in Nephrology. Ms. Garner is affiliated with Carolinas Medical Center, Carolinas Medical Center Mercy, Novant Health Presbyterian Medical Center and Novant Health Rowan Medical Center.

Publications & IP owners

Us Patents

Resource Allocation In Distributed Processing Systems

US Patent:
2018008, Mar 22, 2018
Filed:
Nov 28, 2017
Appl. No.:
15/824960
Inventors:
- New York NY, US
Peter W. Foltz - Boulder CO, US
Holly Garner - Raleigh NC, US
Miles T. Loring - North Liberty IA, US
Vishal Kapoor - Iowa City IA, US
International Classification:
G06F 9/48
G06F 9/50
Abstract:
A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.

Resource Allocation In Distributed Processing Systems

US Patent:
2017030, Oct 19, 2017
Filed:
Jun 30, 2017
Appl. No.:
15/640101
Inventors:
- New York NY, US
Peter W. Foltz - Boulder CO, US
Holly Garner - Raleigh NC, US
Miles T. Loring - North Liberty IA, US
Vishal Kapoor - Iowa City IA, US
International Classification:
G06F 9/48
G06F 9/50
Abstract:
A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.

Resource Allocation In Distributed Processing Systems

US Patent:
2016009, Mar 31, 2016
Filed:
Sep 29, 2015
Appl. No.:
14/869748
Inventors:
Nicholas A. Dronen - Boulder CO, US
Peter W. Foltz - Boulder CO, US
Holly Garner - Raleigh NC, US
Miles T. Loring - North Liberty IA, US
Vishal Kapoor - Iowa City IA, US
International Classification:
H04L 12/911
G06F 9/48
Abstract:
A distributed processing system is disclosed herein. The distributed processing system includes a server, a database server, and an application server that are interconnected via a network, and connected via the network to a plurality of independent processing units. The independent processing units can include an analysis engine that is machine-learning-capable, and thus uniquely completes its processing tasks. The server can provide one or several pieces of data to one or several of the independent processing units, can receive analysis results from these one or several independent processing units, and can update the result based on a value characterizing the machine learning of the independent processing unit.

Possible Relatives

David J Garner  Dale M Garner  Damita J Garner  Dane M Garner  Daniel Garner  Aaron M Garner  Dee E Garner  Holly P White  Holly H Jolly  Holly M Stauffer 

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