Nvidia Corporation

Ashutosh Jain

Yogesh Kini

Karthik Raghavan Ravi

Jaydeep Marathe

David Fontaine

Kyrylo Perelygin

Rahul Suresh

John Clifton Woolley, Jr

Lukasz Krystian Ligowski

Maciej Marcin Piechotka

Sebastian Piotr Jodlowski

Deepak Ravi

Kiran Sj

Magnus Strengert

Charan Pai

Jitendra Pratap Singh Chauhan

Xiaonan Tian

Neeraja Gubba

Saumya Nair

One or more embodiments relate to executing a software testing tool to identify function calls—internal and/or external—of software code and their corresponding errors. Once identified-such as during an information gathering operation-the error codes may be returned in place of actual outputs of the function during testing, and the downstream processing of the software as a result of the errors may be evaluated. As such, an automatic software testing tool may be implemented that not only identifies functions calls and corresponding errors, but also evaluates performance of the software in view of the various different error types associated with the function calls.

Software program error testing for autonomous systems and applications

Apparatuses, systems, and techniques to indicate contextual information to be used by available logical processors. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to indicate a first set of contextual information to be used by a first subset of available processors.

Techniques for using contextual information

In various examples, techniques for performing software code verification are described. Systems and methods are disclosed for generating, using intermediate code and user input, a call graph that represents source code for software. For instance, the call graph represents at least functions (e.g., internal functions, external functions, etc.) associated with the software, calls (e.g., direct calls, call pointers, etc.) between the functions, and register information associated with the functions (e.g., variables used by the functions, assembly code used by the functions, etc.). The systems and methods may further use the call graph to perform software code verification by verifying rules from design specifications for the software and/or rules from various certification standards.

Software code verification using call graphs for autonomous systems and applications

Apparatuses, systems, and techniques to execute one or more application programming interfaces (APIs) to perform one or more operations for one or more accelerators within a heterogeneous processor. In at least one embodiment, one or more processors are to perform one or more instructions in response to one or more APIs to indicate one or more functions to be performed in response to one or more errors from one or more accelerators within a heterogeneous processor.

Application programming interface to indicate accelerator error handlers

Growing community of inventors

Bengaluru, India

Ashutosh Jain