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How to debug machine learning call stacks

Python is a popular language for deep learning but debugging calls to existing C/C++ code in shared libraries can be extremely challenging. Untangling the confusing maze of library calls, data translations, and linked-in CUDA code can be convoluted and time consuming, as neither Python nor C/C++ debuggers provide a comprehensive view across the languages.

In this video, recorded at GPU Technology Conference 2017, we look at how Python-C/C++ transformations combined with a multithreaded, multiprocess debugger helps you understand what’s going on within your deep learning code.

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Akana SOLA: Outbound feature

Akana SOLA is a powerful, complete proven tool that makes it easy to expose mainframe artifacts such as programs and data as fully governance secure APIs, or it can enable those mainframe artifacts to easily access external APIs.

In this video, we’ll introduce you to the outbound feature in SOLA. This feature allows you to easily make your mainframe programs be able to go out and access, as a client, an external API.

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Klocwork - Bringing static code analysis to continuous integration

It starts at the developer's desktop. It's here where code is written, tested, reviewed, and written again. Finding problems here, at the earliest possible point before the build, means less testing later on and fewer downstream impacts to cost and schedule. Klocwork puts static code analysis and continuous integration, including support for Jenkins and TeamCity, where you need it.  

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