International Business Machines Corporation

Mayo Foundation for Medical Education and Research

David Roy Limpert

Michael J Branson

Zachary Adam Garbow

Candace Trielle Pederson

Maximino Aguilar, Jr

James Michael Stafford

Nelson Ramirez

Bradley J Erickson

Daniel J Blezek

Peter John Schommer

Mark Plunkett

A system and/or method automatically identifies one or more vascular regions in a medical image or set of medical images. For example, the system/method may automatically identify vascular structures as belonging to the left carotid, right carotid, and/or basilar vascular regions in the head. The system/method takes as input the medical image(s) and automatically identifies one or more vascular regions. The system/method may also automatically generate MIP renderings of the identified region or regions.

Automated vascular region separation in medical imaging

Embodiments of the invention may be used to generate a benchmark profile for a computing job configured to execute on distributed systems. The benchmark profile may be used to predict the performance of components of a computing job for a variety of different distributed computing system architectures. A profiling tool evaluates the computing job to identify the particular performance characteristics of the application and match this with benchmarks that are most representative of the identified performance characteristics and store them in the benchmark profile. The identified benchmarks may then be run on different configurations of a distributed computing system in order to predict the performance of the application for a variety of scenarios.

Benchmark profiling for distributed systems

One embodiment of the invention provides a method to identify a preferred system configuration for a distributed system to use for executing a given computing job. A benchmark profile may specify a collection of benchmarks representative of the job, and the collection of benchmarks may be executed across various permutations of compute nodes that are part of the distributed system. That is, the benchmark profile identifies one or more benchmarks which best represent the runtime characteristics of the computing job. The collection of benchmarks may be executed to predict the performance of the computing job using different permutations of available nodes, before deploying the job.

Performance sampling in distributed systems

A method for booting a user station in a computer network in which a boot sequence is initiated by retrieving boot parameter information from a remote boot server. If the boot server fails to supply information for at least one boot parameter, it is determined whether a default value may be used for the boot parameter. If a default value may be used, a default value is retrieved from local nonvolatile storage. Each entry in the boot parameter table may include a default indicator for determining whether the default value is used if the boot server fails to supply a value for the associated boot parameter. The boot parameter table may include an override indicator to indicate whether a parameter value retrieved from the boot server is overridden.

Network station suitable for supplying indicated default values for boot parameters

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Rochester, MN, United States of America

David Roy Limpert