Abstract: A server LPAR operating in a virtualized computer shares pages with client LPARs using a shared memory region (SMR). A virtualization function of the computer receives a get-page-ID request associated with a client LPAR to identify a physical page corresponding to a shared page included in the SMR. The virtualization function requests the server LPAR to provide an identity of the physical page. The virtualization function receives a page-ID response comprising the identity of a server LPAR logical page that corresponds to the physical page. The virtualization element determines a physical page identity and communicates the physical page identity to the client LPAR. The virtualization element receives a page ID enter request and enters an identity of the physical page into a translation element of the computer to associate a client LPAR logical page with the physical page.

Abstract: A server logical partition (LPAR) of a virtualized computer includes shared memory regions (SMRs). The SMRs include pages of the server LPAR memory to share with client LPARs. A hypervisor utilizes an export vector to associate logical pages of the server LPAR with SMRs. The hypervisor further utilizes a reference array to associate SMRs with client LPARs that have mapped at least one physical memory page of the SMR from a logical page of the client LPAR memory. In processing an operation to unmap one or more shared physical pages from one or more LPARs, the hypervisor uses the export vector and reference array to determine which LPARs have had a mapping to the physical pages.

Abstract: Systems, methods, and computer program products to perform an operation comprising executing a device driver in a private logical partition on a compute host, wherein the device driver is configured to execute in an environment different than an environment of a hypervisor of the compute host, establishing a communication channel between the private logical partition and an adjunct partition executing on the compute host, and configuring, responsive to a command sent by the adjunct partition to the device driver via the communication channel, a physical function of a single root I/O virtualization (SR-IOV) device of the host system.

Abstract: Various embodiments execute a program with improved cache efficiency. In one embodiment, a first subset of operations of a program is performed on a plurality of objects stored in one or more data structures. The first subset of operations has a regular memory access pattern. After each operation in the first subset of operations has been performed, results of the operation are stored in one of the plurality of queues. Each queue in the plurality of queues is associated with a different cacheable region of a memory. A second subset of operations in the program is performed utilizing at least one queue in the plurality of queues. The second subset of operations utilizes results of the operations in the first subset of operations stored in the queue. The second subset of operations has an irregular memory access pattern that is regularized by localizing memory locations accessed by the second subset of operations to the cacheable region of memory associated with the at least one queue.

Abstract: To mitigate collisions in a physical space during gaming, a set of physical objects and a user situated in the 3D space are mapped to determine a spacing between an object in the set of physical objects and the user, where the user moves in the 3D space to cause a motion in a virtual environment of a game. A prediction is computed that the user will make a motion in the 3D space during the gaming. For the motion in the 3D space, a motion trajectory of the user is computed using a measurement parameter corresponding to the user stored in a user profile. A detection is made that the motion trajectory of the user violates a spacing threshold between the user and the object, and the user is alerted about a risk of collision between the user and the object in the 3D space.

Abstract: A graph processing system includes a graph API (Application Programming Interface), as executed by a processor on a computer, and that includes a plurality of graph operators to create graphs and to execute graph analytic applications on the created graphs, the graph operators supporting a creation and manipulation of multi-dimensional properties of graphs. A run-time system is executed by the processor and implements routines that dynamically adjust a plurality of representations and algorithms to execute sequences of operations on graph data. A library is accessible to the run-time system and stores a specification of calling signatures for the graph operators such that the graph operators can be called from any of various computer programming languages such that top-level algorithms received in an input graph application can be understood in the graph processing system when received in any of the various computer programming languages.

Abstract: A graph processing system includes a graph API (Application Programming Interface), as executed by a processor on a computer, and that includes a plurality of graph operators to create graphs and to execute graph analytic applications on the created graphs, the graph operators supporting a creation and manipulation of multi-dimensional properties of graphs. A run-time system is executed by the processor and implements routines that dynamically adjust a plurality of representations and algorithms to execute sequences of operations on graph data. A library is accessible to the run-time system and stores a specification of calling signatures for the graph operators such that the graph operators can be called from any of various computer programming languages such that top-level algorithms received in an input graph application can be understood in the graph processing system when received in any of the various computer programming languages.

Abstract: The present disclosure relates to sharing an I/O device across multiple virtual machines. According to one embodiment, a computing system configures shared ownership of the I/O device between a first partition and one or more of the plurality of virtual machines. The computing system transfers partial ownership of the I/O device from the first partition to the one or more virtual machines and generates device configuration information for the I/O device. The virtual machines can use the generated device configuration information to access and configure the I/O device. Once the I/O device is configured for shared ownership, the computing system boots the one or more virtual machines.

Abstract: The present disclosure relates to sharing an I/O device across multiple virtual machines. According to one embodiment, a computing system establishes a communication channel between a first partition and a second partition. The first partition generally owns an I/O device and the second partition hosts a device driver for the I/O device. The computing system configures shared ownership of the I/O device between the first partition and one or more virtual machines and transfers partial ownership of the I/O device to the second partition. Device configuration information is generated for the I/O device, which is used by the one or more virtual machines and the second partition to access and configure the I/O device. Subsequently, the computing system boots the one or more virtual machines.

Abstract: A method for diagnosing software crashes includes calculating, using vector space modeling, angles between vectors representing stack-traces from reports in a repository on one or more server computer systems, to define similarities in the reports, wherein reports are deemed similar where angles between their respective vectors are less than a threshold value. The method further includes grouping the reports into similar sets using a maximal cliques process and automatically diagnosing, in response to a received software crash, a first stack-trace extracted from a first report of the received software crash, to determine a potential solution to the received software crash.

Abstract: A method and system are provided. The method includes generating, by a machine-based sentiment prediction generator, respective machine-determined sentiment predictions for each of a plurality of software patches using sentiment analysis. The method further includes setting, by a sentiment-based confidence value generator, a confidence value for each of the plurality of software patches based on the machine-determined sentiment predictions. The method also includes at least one of selecting and prioritizing, by a software patch selector and prioritizer, at least one of the plurality of software patches based on the respective confidence value therefor.

Abstract: A method and system are provided. The method includes generating, by a machine-based sentiment prediction generator, respective machine-determined sentiment predictions for each of a plurality of software patches using sentiment analysis. The method further includes setting, by a sentiment-based confidence value generator, a confidence value for each of the plurality of software patches based on the machine-determined sentiment predictions. The method also includes at least one of selecting and prioritizing, by a software patch selector and prioritizer, at least one of the plurality of software patches based on the respective confidence value therefor.

Abstract: A method for diagnosing software crashes includes retrieving a stack-trace from at least one of a new problem report, updated problem report, and authorized analysis report from a repository. A vector is automatically created from the retrieved stack-trace using the function name and associating the resultant vector with the problem report and authorized analysis reports. Vector space modeling is used to calculate the angles between the resultant vectors to determine similarities. Similar problem reports and authorized analysis reports are grouped into similar sets using a maximal cliques process. New software crashes are automatically diagnosed by extracting the stack-trace from a new problem report of the new software crash, and selecting a potential solution by searching the grouped problem reports and authorized analysis reports for a stack-trace similar to the new stack-trace.

Abstract: To mitigate collisions in a physical space during gaming, a set of physical objects and a user situated in the 3D space are mapped to determine a spacing between an object in the set of physical objects and the user, where the user moves in the 3D space to cause a motion in a virtual environment of a game. A prediction is computed that the user will make a motion in the 3D space during the gaming. For the motion in the 3D space, a motion trajectory of the user is computed using a measurement parameter corresponding to the user stored in a user profile. A detection is made that the motion trajectory of the user violates a spacing threshold between the user and the object, and the user is alerted about a risk of collision between the user and the object in the 3D space.

Abstract: A graph processing system includes a graph API (Application Program Interface), as executed on a processor of a computer and as capable of implementing any of a plurality of graph operators to express computations of input graph analytics applications. A run-time system, executed by the processor, implements graph operators specified by each graph API function and deploys the implemented graph operators to a selected computing system. A library contains multiple implementations for each graph API function, each implementation predetermined as being optimal for a specific set of conditions met by a graph being processed, for functional capabilities of a specific computing system on which the graph is being processed, and for resources available on that specific computing system.

Abstract: A graph processing system includes a graph API (Application Programming Interface), as executed by a processor on a computer, and that includes a plurality of graph operators to create graphs and to execute graph analytic applications on the created graphs, the graph operators supporting a creation and manipulation of multi-dimensional properties of graphs. A run-time system is executed by the processor and implements routines that dynamically adjust a plurality of representations and algorithms to execute sequences of operations on graph data. A library is accessible to the run-time system and stores a specification of calling signatures for the graph operators such that the graph operators can be called from any of various computer programming languages such that top-level algorithms received in an input graph application can be understood in the graph processing system when received in any of the various computer programming languages.

Abstract: A graph processing system includes a graph API (Application Program Interface), as executed on a processor of a computer and as capable of implementing any of a plurality of graph operators to express computations of input graph analytics applications. A run-time system, executed by the processor, implements graph operators specified by each graph API function and deploys the implemented graph operators to a selected computing system. A library contains multiple implementations for each graph API function, each implementation predetermined as being optimal for a specific set of conditions met by a graph being processed, for functional capabilities of a specific computing system on which the graph is being processed, and for resources available on that specific computing system.

Abstract: A graph processing system includes a graph API (Application Programming Interface), as executed by a processor on a computer, and that includes a plurality of graph operators to create graphs and to execute graph analytic applications on the created graphs, the graph operators supporting a creation and manipulation of multi-dimensional properties of graphs. A run-time system is executed by the processor and implements routines that dynamically adjust a plurality of representations and algorithms to execute sequences of operations on graph data. A library is accessible to the run-time system and stores a specification of calling signatures for the graph operators such that the graph operators can be called from any of various computer programming languages such that top-level algorithms received in an input graph application can be understood in the graph processing system when received in any of the various computer programming languages.

Abstract: A method for diagnosing software crashes includes retrieving a stack-trace from at least one of a new problem report, updated problem report, and authorized analysis report from a repository. A vector is automatically created from the retrieved stack-trace using the function name and associating the resultant vector with the problem report and authorized analysis reports. Vector space modeling is used to calculate the angles between the resultant vectors to determine similarities. Similar problem reports and authorized analysis reports are grouped into similar sets using a maximal cliques process. New software crashes are automatically diagnosed by extracting the stack-trace from a new problem report of the new software crash, and selecting a potential solution by searching the grouped problem reports and authorized analysis reports for a stack-trace similar to the new stack-trace.

Abstract: A graph processing system includes a graph API (Application Program Interface), as executed on a processor of a computer and as capable of implementing any of a plurality of graph operators to express computations of input graph analytics applications. A run-time system, executed by the processor, implements graph operators specified by each graph API function and deploys the implemented graph operators to a selected computing system. A library contains multiple implementations for each graph API function, each implementation predetermined as being optimal for a specific set of conditions met by a graph being processed, for functional capabilities of a specific computing system on which the graph is being processed, and for resources available on that specific computing system.