Patent classifications
G06F8/41
AUTO MAPPING RECOMMENDER
Disclosed herein are system, method, and computer program product embodiments for providing an auto-mapping recommendation between a source asset and a target asset in an integration flow design tool. Because the number of fields passed from a source asset to a target asset may be multitudinous, by auto-recommending mappings between fields provided by the source asset to the target asset, an integration flow design tool may save time developers a significant amount of time and optimize the integration flow design process.
Applications for hardware accelerators in computing systems
An example method of implementing an application for a hardware accelerator having a programmable device coupled to memory is disclosed. The method includes compiling source code of the application to generate logical circuit descriptions of kernel circuits; determining resource availability in a dynamic region of programmable logic of the programmable device, the dynamic region exclusive of a static region of the programmable logic programmed with a host interface configured to interface a computing system having the hardware accelerator; determining resource utilization by the kernel circuits in the dynamic region; determining fitting solutions of the kernel circuits within the dynamic region, each of the fitting solutions defining connectivity of the kernel circuits to banks of the memory; adding a memory subsystem to the application based on a selected fitting solution of the fitting solutions; and generating a kernel image configured to program the dynamic region to implement the kernel circuits and the memory subsystem.
CODE-INDEPENDENT GRAPH TECHNOLOGY
A computing environment of the invention comprises a graph structure, or multiple interconnected graph structures, the behavior of which is driven by data flow through interconnected nodes, independent of an external code base. The computer system may include a plurality of interconnected nodes in which data flow between the nodes drives execution of one or more functions and wherein code within the system is restricted to said nodes, each of which performs a dedicated function and an engine to drive communication between said system and operating hardware. Data are injected into a node and the node responds by outputting a value (data) to one or more subsequent nodes. Those nodes, in turn, output a behavior that is dependent upon the value (data) they received from one or more other nodes. Thus, it is the data that drives operation of the graph and not a traditional code stack.
Code-independent graph technology
A computing environment of the invention comprises a graph structure, or multiple interconnected graph structures, the behavior of which is driven by data flow through interconnected nodes, independent of an external code base. The computer system may include a plurality of interconnected nodes in which data flow between the nodes drives execution of one or more functions and wherein code within the system is restricted to said nodes, each of which performs a dedicated function and an engine to drive communication between said system and operating hardware. Data are injected into a node and the node responds by outputting a value (data) to one or more subsequent nodes. Those nodes, in turn, output a behavior that is dependent upon the value (data) they received from one or more other nodes. Thus, it is the data that drives operation of the graph and not a traditional code stack.
Open data protocol performance test automation intelligence (OPT-AI)
A testing scenario (forming part of a computing environment executing a plurality of applications) is initiated to characterize performance of the applications. During the execution of the testing scenario, various performance metrics associated with the applications are monitored. Thereafter, data characterizing the performance metrics is provided (e.g., displayed, loaded into memory, stored on disk, transmitted to a remote computing system, etc.). The testing scenario is generated by monitoring service calls being executed by each of a plurality of automates across the applications, generating a service request tree based on the monitored service calls for all of the applications, and removing cyclic dependencies in the service request tree such that reusable testing components are only used once. Related apparatus, systems, techniques and articles are also described.
System and method for in-ide code review
Methods, system and apparatus for the augmentation of an integrated development environment (IDE). The system and methods provide for the integration of all aspects of a development workflow to be initiated and completed from within the IDE. Every phase of development, including, grabbing a ticket, working on the ticket, asking teammates questions, requesting feedback, initiating code reviews, performing code reviews, creating feature branches, creating pull requests, creating merge requests and generating audit trails of all interactions users have with the IDE are managed and performed from within the IDE, eliminating the need to context switch or open additional application or websites.
System and method for in-ide code review
Methods, system and apparatus for the augmentation of an integrated development environment (IDE). The system and methods provide for the integration of all aspects of a development workflow to be initiated and completed from within the IDE. Every phase of development, including, grabbing a ticket, working on the ticket, asking teammates questions, requesting feedback, initiating code reviews, performing code reviews, creating feature branches, creating pull requests, creating merge requests and generating audit trails of all interactions users have with the IDE are managed and performed from within the IDE, eliminating the need to context switch or open additional application or websites.
DYNAMIC ALLOCATION OF EXECUTABLE CODE FOR MULTI-ARCHITECTURE HETEROGENEOUS COMPUTING
An apparatus for executing a software program, comprising processing units and a hardware processor adapted for: in an intermediate representation of the software program, where the intermediate representation comprises blocks, each associated with an execution block of the software program and comprising intermediate instructions, identifying a calling block and a target block, where the calling block comprises a control-flow intermediate instruction to execute a target intermediate instruction of the target block; generating target instructions using the target block; generating calling instructions using the calling block and a computer control instruction for invoking the target instructions, when the calling instructions are executed by a calling processing unit and the target instructions are executed by a target processing unit; configuring the calling processing unit for executing the calling instructions; and configuring the target processing unit for executing the target instructions.
DYNAMIC ALLOCATION OF EXECUTABLE CODE FOR MULTI-ARCHITECTURE HETEROGENEOUS COMPUTING
An apparatus for executing a software program, comprising processing units and a hardware processor adapted for: in an intermediate representation of the software program, where the intermediate representation comprises blocks, each associated with an execution block of the software program and comprising intermediate instructions, identifying a calling block and a target block, where the calling block comprises a control-flow intermediate instruction to execute a target intermediate instruction of the target block; generating target instructions using the target block; generating calling instructions using the calling block and a computer control instruction for invoking the target instructions, when the calling instructions are executed by a calling processing unit and the target instructions are executed by a target processing unit; configuring the calling processing unit for executing the calling instructions; and configuring the target processing unit for executing the target instructions.
Low-code development platform
A computer-implemented low-code development platform is provided including a user interface and having access to a library of step macros configured for user configuration and interconnection via the user interface to generate executable code. Each step macro includes a step configuration generator and an execution code generator. The step configuration generator is configured to generate a step configuration file based on user-configurable data points configurable via the user interface. The execution code generator is configured to generate executable code in the form of a compiled step file configured for storage in memory and execution by a processor of a computing system. The execution code generator receives and inputs the step configuration file into a metaprogramming component configured to interpret the user-configurable data points of the step configuration file and to generate and output the compiled step file.