Abstract: Disclosed are methods and systems for intelligent adjustment of an immersive multimedia workload in a portable computing device (“PCD”), such as a virtual reality (“VR”) or augmented reality (“AR”) workload. An exemplary embodiment monitors one or more performance indicators comprising a motion to photon latency associated with the immersive multimedia workload. Performance parameters associated with thermally aggressive processing components are adjusted to reduce demand for power while ensuring that the motion to photon latency is and/or remains optimized. Performance parameters that may be adjusted include, but are not limited to including, eye buffer resolution, eye buffer MSAA, timewarp CAC, eye buffer FPS, display FPS, timewarp output resolution, textures LOD, 6DOF camera FPS, and fovea size.

Abstract: Embodiments include computing devices, systems, and methods identifying enhanced synchronization operation outcomes. A computing device may receive a first resource access request for a first resource of a computing device including a first requester identifier from a first computing element of the computing device. The computing device may also receive a second resource access request for the first resource including a second requester identifier from a second computing element of the computing device. The computing device may grant the first computing element access to the first resource based on the first resource access request, and return a response to the second computing element including the first requester identifier as a winner computing element identifier.

Abstract: Aspects may relate to a server comprising: an interface to receive a service request; and a processor coupled to the interface to receive the service request, the processor configured to: implement a firewall appliance for the service request; operate a first micro-security application to generate an anomaly alert for the service request; and operate a second micro-security application to receive the anomaly alert from the first micro-security application or from another server's micro-security application and to determine whether the service request corresponds to a non-benign behavior.

Abstract: Embodiments include computing devices, systems, and methods identifying enhanced synchronization operation outcomes. A computing device may receive a first resource access request for a first resource of a computing device including a first requester identifier from a first computing element of the computing device. The computing device may also receive a second resource access request for the first resource including a second requester identifier from a second computing element of the computing device. The computing device may grant the first computing element access to the first resource based on the first resource access request, and return a response to the second computing element including the first requester identifier as a winner computing element identifier.

Abstract: A computer-implemented method, computer program product and data processing system to improve runtime performance of executable program code when executed on the data-processing system. During execution, data is collected and analyzed to identify runtime behavior of the program code. Heuristic models are applied to select region(s) of the program code where application of a performance improvement algorithm is expected to improve runtime performance. Each selected region is recompiled using selected performance improvement algorithm(s) for that region to generate corresponding recompiled region(s), and the program code is modified to replace invocations of each selected region with invocations of the corresponding recompiled region. Alternatively or additionally, the program code may be recompiled to be adapted to characteristics of the execution environment of the data processing system.

Abstract: A system and method for mapping application tasks to processors in a computing environment that takes into account the hardware communication topology of a machine and an application communication pattern. The hardware communication topology (HCT) is defined according to hardware parameters affecting communication between two tasks, such as connectivity, bandwidth and latency; and, the application communication pattern (ACP) is defined to mean the number and size of bytes that are communicated between the different pairs of communicating tasks. By collecting information on the messages exchanged by the tasks that communicate, the communication pattern of the application may be determined. By combing the HCT and ACP a cost model for a given mapping can be determined.

Abstract: Disclosed are a method and system for predicting future values of a target metric associated with a task executed on a computer system. The method comprises the steps of, over a given period of time, measuring at least one defined metric, transforming that measurement into a value for a predictor source metric, and using the value for the predictor source metric to obtain a predicted future value for said target metric. The preferred embodiment of this invention provides a flexible performance multi-predictor to solve the problem of providing accurate future behavior predictions for adaptive reconfiguration systems. The multi-predictor makes predictions about future workload characteristic by periodically reading available hardware counters. Also disclosed is a method and system for periodically reconfiguring an adaptive computer system by rescheduling tasks based on future behavior predictions.

Abstract: A computer-implemented method, computer program product and data processing system to improve runtime performance of executable program code when executed on the data-processing system. During execution, data is collected and analyzed to identify runtime behavior of the program code. Heuristic models are applied to select region(s) of the program code where application of a performance improvement algorithm is expected to improve runtime performance. Each selected region is recompiled using selected performance improvement algorithm(s) for that region to generate corresponding recompiled region(s), and the program code is modified to replace invocations of each selected region with invocations of the corresponding recompiled region. Alternatively or additionally, the program code may be recompiled to be adapted to characteristics of the execution environment of the data processing system.

Abstract: A method for modeling the performance of memory address translation mechanism (MATM), comprises: a) receiving an execution profile that contains a memory address reference stream of an application, a set of page size mappings, and events about the application's data allocations and de-allocations; b) translating each memory reference in the input memory reference stream into a reference to the corresponding data object, by consulting the memory allocation and de-allocation events, to provide a data object reference stream; c) translating each data object reference into a corresponding page reference by consulting the page size mapping and by modeling the data allocation and de-allocation events in accordance with the mapping to provide a page reference stream and a number of pages of each page size that are needed by the respective mapping; d) using the page reference stream to provide a stream of reuse distance values; e) determining, for each reference in the reuse distance value stream, whether the referen

Abstract: A system and method includes steps, or acts, of: defining one or more events to provide a unified specification; registering one or more events to be detected; detecting an occurrence of at least one of the registered event or events; generating a monitoring entry each time one of the registered events is detected; and entering each of the monitoring entries generated into a single logical entity. The method can also be implemented as machine executable instructions executed by a programmable information processing system or as hard coded logic in a specialized computing apparatus such as an application-specific integrated circuit (ASIC).

Abstract: Disclosed are a method and system for predicting future values of a target metric associated with a task executed on a computer system. The method comprises the steps of, over a given period of time, measuring at least one defined metric, transforming that measurement into a value for a predictor source metric, and using the value for the predictor source metric to obtain a predicted future value for said target metric. The preferred embodiment of this invention provides a flexible performance multi-predictor to solve the problem of providing accurate future behavior predictions for adaptive reconfiguration systems. The multi-predictor makes predictions about future workload characteristic by periodically reading available hardware counters. Also disclosed is a method and system for periodically reconfiguring an adaptive computer system by rescheduling tasks based on future behavior predictions.

Abstract: A method for handling permanent and transient errors in a microprocessor is disclosed. The method includes reading a scalar value and a scalar operation from an execution unit of the microprocessor. The method further includes writing a copy of the scalar value into each of a plurality of elements of a vector register of a Single Instruction Multiple Data (SIMD) unit of the microprocessor and executing the scalar operation on each scalar value in each of the plurality of elements of the vector register of the SIMED unit using a vector operation. The method further includes comparing each result of the scalar operation on each scalar value in each of the plurality of elements of the vector register and detecting a permanent or transient error if all of the results are not identical.

Abstract: Disclosed are a method and system for predicting future values of a target metric associated with a task executed on a computer system. The method comprises the steps of, over a given period of time, measuring at least one defined metric, transforming that measurement into a value for a predictor source metric, and using the value for the predictor source metric to obtain a predicted future value for said target metric. The preferred embodiment of this invention provides a flexible performance multi-predictor to solve the problem of providing accurate future behavior predictions for adaptive reconfiguration systems. The multi-predictor makes predictions about future workload characteristic by periodically reading available hardware counters. Also disclosed is a method and system for periodically reconfiguring an adaptive computer system by rescheduling tasks based on future behavior predictions.

Abstract: A system and method to extend the number of architecturally visible registers in a processor while preserving the number of bits of the instruction encoding. The system comprises: an indirection table that encodes register patterns for the registers used in an instruction; instructions to load and store such table entries; a mechanism to identify instructions that use the indirection table; and a mechanism to identify a set of bits in instructions that are used to index into the indirection table. According to another embodiment, a method of encoding registers in a computer instruction comprises constructing a table having a plurality of entries. Each entry specifies a combination of a plurality of registers. The method also comprises generating an instruction having a reference to one of the entries in the table. The method then comprises accessing the plurality of registers specified by the referenced table entry.