OCR: Difference between revisions
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'''This Project Provides:''' High core count application building framework binary and source code. | |||
'''The Value of the Open Community Runtime (OCR) Project''' | |||
The Open Community Runtime project is creating an application building framework that explores new methods of high-core-count programming. The initial focus is on HPC applications. Its goal is to create a tool that helps app developers improve the power efficiency, programmability, and reliability of their work while maintaining app performance. | |||
OCR will help the app developer with the complex process of writing multi-core apps create by masking the effort to manage event-driven tasks, events (which embody dataflow and code flow dependencies), memory data blocks (with semantic annotations for runtime use), machine description facilities, and more. | |||
'''Who It’s For''' | |||
This project is for system developers, testers, debuggers, and other contributors working on high performance systems. | |||
'''Project Specifics''' | |||
This is a large open source project distributed under the the Apache open source license. With a mature and established codebase containing almost 8 million lines of code, Linux ACPI is written largely in C. OCR was originally unveiled at Supercomputing Conference 2012 (SC12) with a major new release (v0.8) introduced at Supercomputing 2013 (SC13). Community participation is encouraged, both for runtime enhancement as well as exploration of algorithm/application decomposition for new programming models. | |||
'''Project Links''' | |||
https://github.com/01org/ocr | |||
https://lists.01.org/mailman/listinfo/ocr-discuss | |||
Revision as of 06:44, November 10, 2014
This Project Provides: High core count application building framework binary and source code.
The Value of the Open Community Runtime (OCR) Project
The Open Community Runtime project is creating an application building framework that explores new methods of high-core-count programming. The initial focus is on HPC applications. Its goal is to create a tool that helps app developers improve the power efficiency, programmability, and reliability of their work while maintaining app performance.
OCR will help the app developer with the complex process of writing multi-core apps create by masking the effort to manage event-driven tasks, events (which embody dataflow and code flow dependencies), memory data blocks (with semantic annotations for runtime use), machine description facilities, and more.
Who It’s For
This project is for system developers, testers, debuggers, and other contributors working on high performance systems.
Project Specifics
This is a large open source project distributed under the the Apache open source license. With a mature and established codebase containing almost 8 million lines of code, Linux ACPI is written largely in C. OCR was originally unveiled at Supercomputing Conference 2012 (SC12) with a major new release (v0.8) introduced at Supercomputing 2013 (SC13). Community participation is encouraged, both for runtime enhancement as well as exploration of algorithm/application decomposition for new programming models.
Project Links