Abstract: A sampling based DBR framework which leverages a separate core for program analysis. The framework includes a hardware performance monitor, a DBR service that executes as a separate process and a lightweight DBR agent that executes within a client process. The DBR service aggregates samples from the hardware performance monitor, performs region selection by deducing the program structure around hot samples, performs transformations on the selected regions (e.g. optimization), and generates replacement code. The DBR agent then patches the client process to use the replacement code.

Abstract: An approach to region selection which extends beyond traces and selects super-regions. A super-region (SR) contains arbitrary control flow, such as interprocedural nested loops, that provides a larger scope for transformation (e.g. optimization) than traces. Hardware samples are used to identify SRs that contain the hot code of a client process without requiring any static program information.

Abstract: An approach to region selection which extends beyond traces and selects super-regions. A super-region (SR) contains arbitrary control flow, such as interprocedural nested loops, that provides a larger scope for transformation (e.g. optimization) than traces. Hardware samples are used to identify SRs that contain the hot code of a client process without requiring any static program information.

Abstract: A sampling based DBR framework which leverages a separate core for program analysis. The framework includes a hardware performance monitor, a DBR service that executes as a separate process and a lightweight DBR agent that executes within a client process. The DBR service aggregates samples from the hardware performance monitor, performs region selection by deducing the program structure around hot samples, performs transformations on the selected regions (e.g. optimization), and generates replacement code. The DBR agent then patches the client process to use the replacement code.

Abstract: A computer system for executing a binary image conversion system which converts instructions from a instruction set of a first, non native computer system to a second, different, native computer system, includes an run-time system which in response to a non-native image of an application program written for a non-native instruction set provides an native instruction or a native instruction routine. The run-time system collects profile data in response to execution of the native instructions to determine execution characteristics of the non-native instruction. Thereafter, the non-native instructions and the profile statistics are fed to a binary translator operating in a background mode and which is responsive to the profile data generated by the run-time system to form a translated native image. The run-time system and the binary translator are under the control of a server process.