Abstract: Functionality is implemented to determine that a plurality of multi-core processing units of a system are configured in accordance with a plurality of operating performance modes. It is determined that a first of the plurality of operating performance modes satisfies a first performance criterion that corresponds to a first workload of a first logical partition of the system. Accordingly, the first logical partition is associated with a first set of the plurality of multi-core processing units that are configured in accordance with the first operating performance mode. It is determined that a second of the plurality of operating performance modes satisfies a second performance criterion that corresponds to a second workload of a second logical partition of the system. Accordingly, the second logical partition is associated with a second set of the plurality of multi-core processing units that are configured in accordance with the second operating performance mode.

Abstract: A method, system and computer program product enables the granular collection and utilization of hardware statistical samples for the efficient scheduling and allocation of data processing resources. In particular, a Partition Statistics Capture and Analysis (PSCA) utility utilizes special purpose registers to collect statistical samples, such as: (1) instructions completed; (2) Level2 (L2) cache misses; (3) cycles per instruction (CPI); and/or (4) other statistics selected based on the programming of the PSCA utility. Further, these statistical samples are utilized for the several purposes, including: (1) determining how long (time) the footprint of a partition takes to become established during the “cold start” period, i.e., during system instantiation; (2) detecting movement of the CPI curve in order to determine the (shifted) location of the onset of steady state (i.e., the knee) on the CPI curve; and (3) utilizing the statistical samples to guide dispatch decisions and make tuning recommendations.

Abstract: According to one aspect of the present disclosure, a method and technique for using processor registers for extending a cache structure is disclosed. The method includes identifying a register of a processor, identifying a cache to extend, allocating the register as an extension of the cache, and setting an address of the register as corresponding to an address space in the cache.

Abstract: In an embodiment, a kernel performs autonomic input/output tracing and performance tuning. A first table is provided in a device driver framework and a second table in a kernel of a computer. An input/output device monitoring tool is provided in the device driver framework. A plurality of instructions in the kernel compares each value in the first table with each value in the second table. Responsive to a match of a value in the first table and a value in the second table, the kernel automatically runs a command line to perform a system trace, a component trace, or a tuning task. The first table is populated with a plurality of values calculated from a plurality of data in a plurality of device memories and in the controller memory and the second table is populated in accordance with a second plurality of inputs to the command line interface.

Abstract: A method, apparatus, and computer program product for running software on an adapter. In response to a connection of a hardware interface for the adapter with a current host computer, a processor unit in the adapter determines whether a set of protocols for communicating with the current host computer to access resources is present on the adapter. In response to the set of protocols being absent on the adapter, the processor unit obtains the set of protocols from the current host computer. The processor unit identifies a set of available resources in the current host computer for use by the adapter using the set of protocols. The processor unit runs software stored on a set of storage devices in the adapter using the set of available resources identified for use by the adapter.

Abstract: Functionality is implemented to determine that a plurality of multi-core processing units of a system are configured in accordance with a plurality of operating performance modes. It is determined that a first of the plurality of operating performance modes satisfies a first performance criterion that corresponds to a first workload of a first logical partition of the system. Accordingly, the first logical partition is associated with a first set of the plurality of multi-core processing units that are configured in accordance with the first operating performance mode. It is determined that a second of the plurality of operating performance modes satisfies a second performance criterion that corresponds to a second workload of a second logical partition of the system. Accordingly, the second logical partition is associated with a second set of the plurality of multi-core processing units that are configured in accordance with the second operating performance mode.

Abstract: Mechanisms are provided, for implementation in a data processing system having at least one physical processor and at least one associated cache memory, for allocating cache resources of the at least one cache memory to virtual processors of the data processing system. The mechanisms identify a plurality of high priority virtual processors in the data processing system. The mechanisms further determine a percentage of cache lines of the at least one cache memory to be assigned to high priority virtual processors. Moreover, the mechanisms mark a portion of the cache lines in the at least one cache memory as being evictable by only high priority virtual processors based on the determined percentage of cache lines to be assigned to high priority virtual processors. The marked portion of the cache lines cannot be evicted by lower priority virtual processors having a priority lower than the high priority virtual processors.

Abstract: A symmetric multi-processor SMP system includes an SMP processor and operating system OS software that performs automatic SMP lock tracing analysis on an executing application program. System administrators, users or other entities initiate an automatic SMP lock tracing analysis. A particular thread of the executing application program requests and obtains a lock for a memory address pointer. A subsequent thread requests the same memory address pointer lock prior to the particular thread release of that lock. The subsequent thread begins to spin waiting for the release of that address pointer lock. When the subsequent thread reaches a predetermined maximum amount of wait time, MAXSPIN, a lock testing tool in the kernel of the OS detects the MAXSPIN condition. The OS performs a test to determine if the subsequent thread and address pointer lock meet the list of criteria set during initiation of the automatic lock trace method.

Abstract: A data processing system includes physical computing resources that include a plurality of processors. The plurality of processors include a first processor having a first processor type and a second processor having a second processor type that is different than the first processor type. The data processing system also includes a resource manager to assign portions of the physical computing resources to be used when executing logical partitions. The resource manager is configured to assign a first portion of the physical computing resources to a logical partition, to determine characteristics of the logical partition, the characteristics including a memory footprint characteristic, to assign a second portion of the physical computing resources based on the characteristics of the logical partition, and to dispatch the logical partition to execute using the second portion of the physical computing resources.

Abstract: A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.

Abstract: A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.

Abstract: A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.

Abstract: A method and system for replacing physical connections within a large enterprise system with wireless connections. A first wireless transceiver is associated with a node, wherein the node comprises one or more system service processors. A second wireless transceiver is associated with a main system service processor. System service processors associated with the node, referred to as node service processors, are assigned a unique identification (ID), e.g., a name and/or number, to identify the node service processors during wireless connection. An Ethernet cable is utilized to connect the node service processors to the main system service processor. The unique identification is transferred from the main system service processor to the node service processor, and then the Ethernet cable is disconnected. When the Ethernet cable is disconnected, the node service processor(s) communicate with the main system service processor via a wireless network utilizing the transceivers and unique IDs.

Abstract: A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.

Abstract: A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.

Abstract: A system, method and computer-readable medium for balancing access among multiple logical partitions to the physical system resources of a computer system employing system virtualization. Each of the logical partitions is classified, initially during a startup period, in accordance with a level of allocated dispatch window utilization. Performance metrics of one or more of the physical system resources are determined in association with one or more of the logical partitions. The performance metrics determination is performed at a hardware level independent of programming interrupts. During a dispatch window in which a given set of the physical system resources are configured for allocation to one of the logical partitions, the given set of physical system resources are re-allocated to a replacement logical partition in accordance with the determined performance metrics associated with the replacement logical partition and the dispatch window utilization classification of the replacement logical partition.

Abstract: A method, system and computer program product enables the granular collection and utilization of hardware statistical samples for the efficient scheduling and allocation of data processing resources. In particular, a Partition Statistics Capture and Analysis (PSCA) utility utilizes special purpose registers to collect statistical samples, such as: (1) instructions completed; (2) Level2 (L2) cache misses; (3) cycles per instruction (CPI); and/or (4) other statistics selected based on the programming of the PSCA utility. Further, these statistical samples are utilized for the several purposes, including: (1) determining how long (time) the footprint of a partition takes to become established during the “cold start” period, i.e., during system instantiation; (2) detecting movement of the CPI curve in order to determine the (shifted) location of the onset of steady state (i.e., the knee) on the CPI curve; and (3) utilizing the statistical samples to guide dispatch decisions and make tuning recommendations.

Abstract: Sharing kernel services among kernels, including receiving, by a partition manager from an application in a logical partition, a first system call for a kernel service from a first kernel, the first system call having form and content compatible with the first kernel, generating, in dependence upon the first system call, a second system call for the kernel service from a second kernel, the second system call having form and content compatible with the second kernel, and sending the second system call through the partition manager to the second kernel for execution.