Abstract: Disclosed are apparatus and methods for providing images of memory objects. A computing device can receive a plurality of memory objects for one or more executable software components. The computing device can classify the plurality of memory objects in accord with a plurality of object classifications. A particular object classification can represent a probability that a memory object classified with the particular object classification is to be written to during execution of the one or more executable software components. The computing device can order the plurality of memory objects based on the plurality of object classifications. The computing device can provide an image for the one or more executable software components using the computing device, where the image includes the ordered plurality of memory objects.

Abstract: Disclosed are apparatus and methods for providing images of memory objects. A computing device can receive a plurality of memory objects for one or more executable software components. The computing device can classify the plurality of memory objects in accord with a plurality of object classifications. A particular object classification can represent a probability that a memory object classified with the particular object classification is to be written to during execution of the one or more executable software components. The computing device can order the plurality of memory objects based on the plurality of object classifications. The computing device can provide an image for the one or more executable software components using the computing device, where the image includes the ordered plurality of memory objects.

Abstract: Disclosed are apparatus and methods for providing images of memory objects. A computing device can receive a plurality of memory objects for one or more executable software components. The computing device can classify the plurality of memory objects in accord with a plurality of object classifications. A particular object classification can represent a probability that a memory object classified with the particular object classification is to be written to during execution of the one or more executable software components. The computing device can order the plurality of memory objects based on the plurality of object classifications. The computing device can provide an image for the one or more executable software components using the computing device, where the image includes the ordered plurality of memory objects.

Abstract: Disclosed are apparatus and methods for providing images of memory objects. A computing device can receive a plurality of memory objects for one or more executable software components. The computing device can classify the plurality of memory objects in accord with a plurality of object classifications. A particular object classification can represent a probability that a memory object classified with the particular object classification is to be written to during execution of the one or more executable software components. The computing device can order the plurality of memory objects based on the plurality of object classifications. The computing device can provide an image for the one or more executable software components using the computing device, where the image includes the ordered plurality of memory objects.

Abstract: The reconstruction of garbage collection information corresponding to an application. Upon accessing a portion of compiler generated application code, a computing system generates computational results that identifies one or more program state storage locations that track live references or memory pointers that can be displaced during garbage collection. This may be performed for multiple application code portions (such as methods or functions of an application), and may be performed just before garbage collection. To generate the computational results, the application code portion may first be subjected to a liveness analysis to generate liveness analysis results in the form of one or more live program state storage locations in the application code portion. The computational results may then be generated using the liveness analysis results and type information from a type service to provide the set of storage locations referencing live memory objects.

Abstract: The reconstruction of garbage collection information corresponding to an application. Upon accessing a portion of compiler generated application code, a computing system generates computational results that identifies one or more program state storage locations that track live references or memory pointers that can be displaced during garbage collection. This may be performed for multiple application code portions (such as methods or functions of an application), and may be performed just before garbage collection. To generate the computational results, the application code portion may first be subjected to a liveness analysis to generate liveness analysis results in the form of one or more live program state storage locations in the application code portion. The computational results may then be generated using the liveness analysis results and type information from a type service to provide the set of storage locations referencing live memory objects.