Abstract: A computer comprising processors and memory may implement an application execution engine to execute an application including both managed code and unmanaged code, the managed code providing memory safety for accesses to objects in memory and the unmanaged code providing no such safety. Responsive to a request from managed code, the application execution engine allocates memory for an object in a managed pool and the object is accessible to managed code in a managed state. Responsive to a requirement for unmanaged code to access the managed object, the application execution engine transforms the object to be accessible in an unmanaged state, the transformation including allocating memory for the object in an unmanaged pool, copying data from managed memory to unmanaged memory according to a predetermined unmanaged layout, releasing the managed memory and using an address of the unmanaged memory to access the object in the unmanaged state.

Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together.

Abstract: A computer comprising processors and memory may implement an application execution engine to execute an application including both managed code and unmanaged code, the managed code providing memory safety for accesses to objects in memory and the unmanaged code providing no such safety. Responsive to a request from managed code, the application execution engine allocates memory for an object in a managed pool and the object is accessible to managed code in a managed state. Responsive to a requirement for unmanaged code to access the managed object, the application execution engine transforms the object to be accessible in an unmanaged state, the transformation including allocating memory for the object in an unmanaged pool, copying data from managed memory to unmanaged memory according to a predetermined unmanaged layout, releasing the managed memory and using an address of the unmanaged memory to access the object in the unmanaged state.

Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together.

Abstract: A computer comprising processors and memory may implement an application execution engine to execute an application including both managed code and unmanaged code, the managed code providing memory safety for accesses to objects in memory and the unmanaged code providing no such safety. Responsive to a request from managed code, the application execution engine allocates memory for an object in a managed pool and the object is accessible to managed code in a managed state. Responsive to a requirement for unmanaged code to access the managed object, the application execution engine transforms the object to be accessible in an unmanaged state, the transformation including allocating memory for the object in an unmanaged pool, copying data from managed memory to unmanaged memory according to a predetermined unmanaged layout, releasing the managed memory and using an address of the unmanaged memory to access the object in the unmanaged state.

Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together.

Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together.

Abstract: Adaptive data collections may include various type of data arrays, sets, bags, maps, and other data structures. A simple interface for each adaptive collection may provide access via a unified API to adaptive implementations of the collection. A single adaptive data collection may include multiple, different adaptive implementations. A system configured to implement adaptive data collections may include the ability to adaptively select between various implementations, either manually or automatically, and to map a given workload to differing hardware configurations. Additionally, hardware resource needs of different configurations may be predicted from a small number of workload measurements. Adaptive data collections may provide language interoperability, such as by leveraging runtime compilation to build adaptive data collections and to compile and optimize implementation code and user code together.

Abstract: A method and system of cross-language inlining that includes receiving source code of a multiple language program, the source code including a main language and a first access of a first foreign object in a first additional language; translating the main language to obtain a main language intermediate representation (IR); translating the first additional language to obtain a first IR snippet; composing, before performing a compilation, the main language IR and the first IR snippet to obtain a cross-language IR; and performing the compilation of the cross-language IR to obtain machine code corresponding to the multiple language program.

Abstract: A method and system of cross-language inlining that includes receiving source code of a multiple language program, the source code including a main language and a first access of a first foreign object in a first additional language; translating the main language to obtain a main language intermediate representation (IR); translating the first additional language to obtain a first IR snippet; composing, before performing a compilation, the main language IR and the first IR snippet to obtain a cross-language IR; and performing the compilation of the cross-language IR to obtain machine code corresponding to the multiple language program.