LANGUAGE INTEROPERABLE RUNTIME ADAPTABLE DATA COLLECTIONS

    公开(公告)号:US20230214407A1

    公开(公告)日:2023-07-06

    申请号:US18174535

    申请日:2023-02-24

    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. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

    Hybrid managed and unmanaged data model

    公开(公告)号:US11663321B2

    公开(公告)日:2023-05-30

    申请号:US16722714

    申请日:2019-12-20

    CPC classification number: G06F21/52 G06F21/53 G06F2221/033

    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.

    Hybrid Managed and Unmanaged Data Model

    公开(公告)号:US20210192042A1

    公开(公告)日:2021-06-24

    申请号:US16722714

    申请日:2019-12-20

    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.

    Hybrid Managed and Unmanaged Data Model

    公开(公告)号:US20250036749A1

    公开(公告)日:2025-01-30

    申请号:US18917832

    申请日:2024-10-16

    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.

    Language interoperable runtime adaptable data collections

    公开(公告)号:US11593398B2

    公开(公告)日:2023-02-28

    申请号:US17067479

    申请日:2020-10-09

    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. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

    Language Interoperable Runtime Adaptable Data Collections

    公开(公告)号:US20250094443A1

    公开(公告)日:2025-03-20

    申请号:US18959311

    申请日:2024-11-25

    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. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

    Language interoperable runtime adaptable data collections

    公开(公告)号:US12189652B2

    公开(公告)日:2025-01-07

    申请号:US18174535

    申请日:2023-02-24

    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. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

    Hybrid managed and unmanaged data model

    公开(公告)号:US12147529B2

    公开(公告)日:2024-11-19

    申请号:US18304283

    申请日:2023-04-20

    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.

    Hybrid Managed and Unmanaged Data Model
    9.
    发明公开

    公开(公告)号:US20230259611A1

    公开(公告)日:2023-08-17

    申请号:US18304283

    申请日:2023-04-20

    CPC classification number: G06F21/52 G06F21/53

    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.

    LANGUAGE INTEROPERABLE RUNTIME ADAPTABLE DATA COLLECTIONS

    公开(公告)号:US20210042323A1

    公开(公告)日:2021-02-11

    申请号:US17067479

    申请日:2020-10-09

    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. Adaptive data collections may also provide language-independent such that implementation code may be written once and subsequently used from multiple programming languages.

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