Nvidia Corporation

Shekhar Vasant Divekar

Shirish C Gadre

Jack H Choquette

Boris Beylin

Manan Patel

Ajay Sudarshan Tirumala

Andrei Khodakovsky

Praveen Kaushik

Amanpreet Grewal

Balajikrishna Atukuri

A just-in-time (JIT) compiler binds constants to specific memory locations at runtime. The JIT compiler parses program code derived from a multithreaded application and identifies an instruction that references a uniform constant. The JIT compiler then determines a chain of pointers that originates within a root table specified in the multithreaded application and terminates at the uniform constant. The JIT compiler generates additional instructions for traversing the chain of pointers and inserts these instructions into the program code. A parallel processor executes this compiled code and, in doing so, causes a thread to traverse the chain of pointers and bind the uniform constant to a uniform register at runtime. Each thread in a group of threads executing on the parallel processor may then access the uniform constant.

Binding constants at runtime for improved resource utilization

A method includes identifying a divergent region of interest (DRI) not including a post dominator node thereof within a control flow graph, and introducing a decision node in the control flow graph such that the decision node post-dominates an entry point of the DRI and is dominated by the entry point. The method also includes redirecting a regular control flow path within the control flow graph from another node previously coupled to the DRI to the decision node, and redirecting a runaway path from the another node to the decision node. Further, the method includes marking the runaway path to differentiate the runaway path from the regular control flow path, and directing control flow from the decision node to an originally intended destination of each of the regular control flow path and the runaway path based on the marking to provide for program thread synchronization and optimization within the DRI.

Control flow optimization for efficient program code execution on a processor

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Maharashtra, India

Shekhar Vasant Divekar