Abstract: A cluster compute server stores different types of data at different storage volumes in order to reduce data duplication at the storage volumes. The storage volumes are categorized into two classes: common storage volumes and dedicated storage volumes, wherein the common storage volumes store data to be accessed and used by multiple compute nodes (or multiple virtual servers) of the cluster compute server. The dedicated storage volumes, in contrast, store data to be accessed only by a corresponding compute node (or virtual server).

Abstract: A cluster compute server stores different types of data at different storage volumes in order to reduce data duplication at the storage volumes. The storage volumes are categorized into two classes: common storage volumes and dedicated storage volumes, wherein the common storage volumes store data to be accessed and used by multiple compute nodes (or multiple virtual servers) of the cluster compute server. The dedicated storage volumes, in contrast, store data to be accessed only by a corresponding compute node (or virtual server).

Abstract: A cluster compute server stores different types of data at different storage volumes in order to reduce data duplication at the storage volumes. The storage volumes are categorized into two classes: common storage volumes and dedicated storage volumes, wherein the common storage volumes store data to be accessed and used by multiple compute nodes (or multiple virtual servers) of the cluster compute server. The dedicated storage volumes, in contrast, store data to be accessed only by a corresponding compute node (or virtual server).

Abstract: A processor modifies memory management mode for a range of memory locations of a multilevel memory hierarchy based on changes in an application phase of an application executing at a processor. The processor monitors the application phase (e.g., computation-bound phase, input/output phase, or memory access phase) of the executing application and in response to a change in phase consults a management policy to identify a memory management mode. The processor automatically reconfigures a memory controller and other modules so that a range of memory locations of the multilevel memory hierarchy are managed according to the identified memory management mode. By changing the memory management mode for the range of memory locations according to the application phase, the processor improves processing efficiency and flexibility.

Abstract: An apparatus and method is described herein for conditionally committing and/or speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: A processor modifies memory management mode for a range of memory locations of a multilevel memory hierarchy based on changes in an application phase of an application executing at a processor. The processor monitors the application phase (e.g.,. computation-bound phase, input/output phase, or memory access phase) of the executing application and in response to a change in phase consults a management policy to identify a memory management mode. The processor automatically reconfigures a memory controller and other modules so that a range of memory locations of the multilevel memory hierarchy are managed according to the identified memory management mode. By changing the memory management mode for the range of memory locations according to the application phase, the processor improves processing efficiency and flexibility.

Abstract: A cluster compute server stores different types of data at different storage volumes in order to reduce data duplication at the storage volumes. The storage volumes are categorized into two classes: common storage volumes and dedicated storage volumes, wherein the common storage volumes store data to be accessed and used by multiple compute nodes (or multiple virtual servers) of the cluster compute server. The dedicated storage volumes, in contrast, store data to be accessed only by a corresponding compute node (or virtual server).

Abstract: An apparatus and method is described herein for conditionally committing and/or speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: A memory implements a programmable physical address mapping that can change to reflect changing memory access patterns, observed or anticipated, to the memory. The memory employs address decode logic that can implement any of a variety of physical address mappings between physical addresses and corresponding memory locations. The physical address mappings may locate the data within one or more banks and rows of the memory so as to facilitate more efficient memory accesses for a given access pattern. The programmable physical address mapping employed by the hardware of the memory can include, but is not limited to, hardwired logic gates, programmable look-up tables or other mapping tables, reconfigurable logic, or combinations thereof. The physical address mapping may be programmed for the entire memory or on a per-memory region basis.

Abstract: In a processing system comprising a plurality of processing nodes coupled via a switching fabric, a method includes implementing a flow control property for a data flow in the switching fabric based on an addressing property of an address of a virtual network interface controller associated with the data flow. A switching fabric includes a plurality of ports, each port coupleable to a corresponding processing node, and switching logic coupled to the plurality of ports. The switching fabric further includes flow control logic to implement a flow control property for a data flow in the switching logic based on an addressing property of an address of a virtual network interface controller associated with the data flow.

Abstract: A system, processor, and method to predict with high accuracy and retain instruction boundaries for previously executed instructions in order to decode variable length instructions is disclosed. In at least one embodiment, a disclosed processor includes an instruction fetch unit, an instruction cache, a boundary byte predictor, and an instruction decoder. In some embodiments, the instruction fetch unit provides an instruction address and the instruction cache produces an instruction tag and instruction cache content corresponding to the instruction address. The instruction decoder, in some embodiments, includes boundary byte logic to determine an instruction boundary in the instruction cache content.

Abstract: A processor discards spill data from a memory hierarchy in response to the final access to the spill data has been performed by a compiled program executing at the processor. In some embodiments, the final access determined based on a special-purpose load instruction configured for this purpose. In some embodiments the determination is made based on the location of a stack pointer indicating that a method of the executing program has returned, so that data of the returned method that remains in the stack frame is no longer to be accessed. Because the spill data is discarded after the final access, it is not transferred through the memory hierarchy.

Abstract: A memory implements a programmable physical address mapping that can change to reflect changing memory access patterns, observed or anticipated, to the memory. The memory employs address decode logic that can implement any of a variety of physical address mappings between physical addresses and corresponding memory locations. The physical address mappings may locate the data within one or more banks and rows of the memory so as to facilitate more efficient memory accesses for a given access pattern. The programmable physical address mapping employed by the hardware of the memory can include, but is not limited to, hardwired logic gates, programmable look-up tables or other mapping tables, reconfigurable logic, or combinations thereof. The physical address mapping may be programmed for the entire memory or on a per-memory region basis.

Abstract: In a processing system comprising a plurality of processing nodes coupled via a switching fabric, a method includes implementing a flow control property for a data flow in the switching fabric based on an addressing property of an address of a virtual network interface controller associated with the data flow. A switching fabric includes a plurality of ports, each port coupleable to a corresponding processing node, and switching logic coupled to the plurality of ports. The switching fabric further includes flow control logic to implement a flow control property for a data flow in the switching logic based on an addressing property of an address of a virtual network interface controller associated with the data flow.

Abstract: An apparatus and method is described herein for conditionally committing and/or speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: An apparatus and method is described herein for conditionally committing and/or speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: An apparatus and method is described herein for conditionally committing and/or speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: An apparatus and method is described herein for conditionally committing and/or speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: An apparatus and method is described herein for conditionally committing /andor speculative checkpointing transactions, which potentially results in dynamic resizing of transactions. During dynamic optimization of binary code, transactions are inserted to provide memory ordering safeguards, which enables a dynamic optimizer to more aggressively optimize code. And the conditional commit enables efficient execution of the dynamic optimization code, while attempting to prevent transactions from running out of hardware resources. While the speculative checkpoints enable quick and efficient recovery upon abort of a transaction. Processor hardware is adapted to support dynamic resizing of the transactions, such as including decoders that recognize a conditional commit instruction, a speculative checkpoint instruction, or both. And processor hardware is further adapted to perform operations to support conditional commit or speculative checkpointing in response to decoding such instructions.

Abstract: Methods and apparatuses enable on-demand instruction emulation via user-level exception handling. A non-supported instruction triggers an exception during runtime of a program. In response to the exception, a user-level or application-level exception handler is launched, instead of a kernel-level handler. Then the exception handler can execute at the application layer instead of the kernel level. The handler identifies the instruction and emulates the instruction, where emulation of the instruction is supported by the handler. Emulating the instructions enables the program to continue execution. Repeated instruction emulation is amortized via dynamic binary translation of hot code.