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公开(公告)号：US20210240456A1
公开(公告)日：2021-08-05
申请号：US16776792
申请日：2020-01-30
Applicant: Oracle International Corporation
Inventor： Martijn Dwars , Martin Sevenich , Sungpack Hong , Hassan Chafi , Guido Wachsmuth
Abstract: Techniques are described for compiling source code to generate graph-optimized intermediate representation instructions of the source code that implement techniques for optimizing algorithms for graph analysis. A compiler, executing on a computing device, receives source code instructions for a program to be compiled. The compiler identifies a target expression, within the source code instructions, that invokes a particular method call on a particular object type. The target expression contains a target block of code to be translated into an intermediate representation using graph-optimized compilation techniques. The compiler generates a block of graph-specific intermediate representation instructions to replace the target expression. The compiler compiles the source code instructions to generate intermediate representation instructions, where the intermediate representation instructions include the block of graph-specific intermediate representation instructions in place of the target expression.
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公开(公告)号：US11537609B2
公开(公告)日：2022-12-27
申请号：US16917621
申请日：2020-06-30
Applicant: Oracle International Corporation
Inventor： Martijn Dwars , Martin Sevenich , Sungpack Hong , Guido Wachsmuth , Hassan Chafi
IPC: G06F16/2455 , G06F16/2453 , G06F16/901 , G06F16/248
Abstract: To execute function-step-based graph queries on a graph engine that has its own graph query language, rather than re-implementing an existing infrastructure to support function-step-based graph protocols, function-step-based graph queries are transformed to the graph query language that is understood by the graph engine. The existing infrastructure computes the results of the transformed queries. Result sets are then transformed to function-based-based result sets, which are returned to customers. In this manner, the graph engine supports function-step-based graph query workloads without implementation of the function-step-based graph protocol.
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公开(公告)号：US11379200B2
公开(公告)日：2022-07-05
申请号：US16776792
申请日：2020-01-30
Applicant: Oracle International Corporation
Inventor： Martijn Dwars , Martin Sevenich , Sungpack Hong , Hassan Chafi , Guido Wachsmuth
Abstract: Techniques are described for compiling source code to generate graph-optimized intermediate representation instructions of the source code that implement techniques for optimizing algorithms for graph analysis. A compiler, executing on a computing device, receives source code instructions for a program to be compiled. The compiler identifies a target expression, within the source code instructions, that invokes a particular method call on a particular object type. The target expression contains a target block of code to be translated into an intermediate representation using graph-optimized compilation techniques. The compiler generates a block of graph-specific intermediate representation instructions to replace the target expression. The compiler compiles the source code instructions to generate intermediate representation instructions, where the intermediate representation instructions include the block of graph-specific intermediate representation instructions in place of the target expression.
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公开(公告)号：US20210406265A1
公开(公告)日：2021-12-30
申请号：US16917621
申请日：2020-06-30
Applicant: Oracle International Corporation
Inventor： Martijn Dwars , Martin Sevenich , Sungpack Hong , Guido Wachsmuth , Hassan Chafi
IPC: G06F16/2453 , G06F16/2455 , G06F16/248 , G06F16/901
Abstract: To execute function-step-based graph queries on a graph engine that has its own graph query language, rather than re-implementing an existing infrastructure to support function-step-based graph protocols, function-step-based graph queries are transformed to the graph query language that is understood by the graph engine. The existing infrastructure computes the results of the transformed queries. Result sets are then transformed to function-based-based result sets, which are returned to customers. In this manner, the graph engine supports function-step-based graph query workloads without implementation of the function-step-based graph protocol.
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