Abstract: A method and circuit arrangement provide support for a hybrid pipeline that dynamically switches between out-of-order and in-order modes. The hybrid pipeline may selectively execute instructions from at least one instruction stream that require the high performance capabilities provided by out-of-order processing in the out-of-order mode. The hybrid pipeline may also execute instructions that have strict power requirements in the in-order mode where the in-order mode conserves more power compared to the out-of-order mode. Each stage in the hybrid pipeline may be activated and fully functional when the hybrid pipeline is in the out-of-order mode. However, stages in the hybrid pipeline not used for the in-order mode may be deactivated and bypassed by the instructions when the hybrid pipeline dynamically switches from the out-of-order mode to the in-order mode. The deactivated stages may then be reactivated when the hybrid pipeline dynamically switches from the in-order mode to the out-of-order mode.

Abstract: An aspect includes optimizing an application workflow. The optimizing includes characterizing the application workflow by determining at least one baseline metric related to an operational control knob of an embedded system processor. The application workflow performs a real-time computational task encountered by at least one mobile embedded system of a wirelessly connected cluster of systems supported by a server system. The optimizing of the application workflow further includes performing an optimization operation on the at least one baseline metric of the application workflow while satisfying at least one runtime constraint. An annotated workflow that is the result of performing the optimization operation is output.

Abstract: A method and circuit arrangement provide support for a hybrid pipeline that dynamically switches between out-of-order and in-order modes. The hybrid pipeline may selectively execute instructions from at least one instruction stream that require the high performance capabilities provided by out-of-order processing in the out-of-order mode. The hybrid pipeline may also execute instructions that have strict power requirements in the in-order mode where the in-order mode conserves more power compared to the out-of-order mode. Each stage in the hybrid pipeline may be activated and fully functional when the hybrid pipeline is in the out-of-order mode. However, stages in the hybrid pipeline not used for the in-order mode may be deactivated and bypassed by the instructions when the hybrid pipeline dynamically switches from the out-of-order mode to the in-order mode. The deactivated stages may then be reactivated when the hybrid pipeline dynamically switches from the in-order mode to the out-of-order mode.

Abstract: A method and circuit arrangement provide support for a hybrid pipeline that dynamically switches between out-of-order and in-order modes. The hybrid pipeline may selectively execute instructions from at least one instruction stream that require the high performance capabilities provided by out-of-order processing in the out-of-order mode. The hybrid pipeline may also execute instructions that have strict power requirements in the in-order mode where the in-order mode conserves more power compared to the out-of-order mode. Each stage in the hybrid pipeline may be activated and fully functional when the hybrid pipeline is in the out-of-order mode. However, stages in the hybrid pipeline not used for the in-order mode may be deactivated and bypassed by the instructions when the hybrid pipeline dynamically switches from the out-of-order mode to the in-order mode. The deactivated stages may then be reactivated when the hybrid pipeline dynamically switches from the in-order mode to the out-of-order mode.

Abstract: Embodiments relate to loading and storing of data. An aspect includes a method for transferring data in an active memory device that includes memory and a processing element. An instruction is fetched and decoded for execution by the processing element. Based on determining that the instruction is a gather instruction, the processing element determines a plurality of source addresses in the memory from which to gather data elements and a destination address in the memory. One or more gathered data elements are transferred from the source addresses to contiguous locations in the memory starting at the destination address. Based on determining that the instruction is a scatter instruction, a source address in the memory from which to read data elements at contiguous locations and one or more destination addresses in the memory to store the data elements at non-contiguous locations are determined, and the data elements are transferred.

Abstract: A computer detects a request by a process for access to a shadow control page, wherein the shadow control page allows the process access to one or more devices. The computer assigns the shadow control page and a key to the process associated with the request. The computer detects a request by the process via the assigned shadow control page for creation of a subset of devices from the one or more devices. The computer inputs information detailing an association between the subset of devices and the assigned key into a subset definition table, wherein the subset definition table includes one or more keys and one or more corresponding subsets.

Abstract: Embodiments relate to clustering execution in a processing system. An aspect includes accessing a control flow graph that defines a data dependency and an execution sequence of a plurality of tasks of an application that executes on a plurality of system components. The execution sequence of the tasks in the control flow graph is modified as a clustered control flow graph that clusters active and idle phases of a system component while maintaining the data dependency. The clustered control flow graph is sent to an operating system, where the operating system utilizes the clustered control flow graph for scheduling the tasks.

Abstract: Direct communication of data between processing elements is provided. An aspect includes sending, by a first processing element, data over an inter-processing element chaining bus. The data is destined for another processing element via a data exchange component that is coupled between the first processing element and a second processing element via a communication line disposed between corresponding multiplexors of the first processing element and the second processing element. A further aspect includes determining, by the data exchange component, whether the data has been received at the data exchange element. If so, an indicator is set in a register of the data exchange component and the data is forwarded to the other processing element. Setting the indicator causes the first processing element to stall. If the data has not been received, the other processing element is stalled while the data exchange component awaits receipt of the data.

Abstract: Embodiments relate to clustering execution in a processing system. An aspect includes accessing a control flow graph that defines a data dependency and an execution sequence of a plurality of tasks of an application that executes on a plurality of system components. The execution sequence of the tasks in the control flow graph is modified as a clustered control flow graph that clusters active and idle phases of a system component while maintaining the data dependency. The clustered control flow graph is sent to an operating system, where the operating system utilizes the clustered control flow graph for scheduling the tasks.

Abstract: Direct communication of data between processing elements is provided. An aspect includes sending, by a first processing element, data over an inter-processing element chaining bus. The data is destined for another processing element via a data exchange component that is coupled between the first processing element and a second processing element via a communication line disposed between corresponding multiplexors of the first processing element and the second processing element. A further aspect includes determining, by the data exchange component, whether the data has been received at the data exchange element. If so, an indicator is set in a register of the data exchange component and the data is forwarded to the other processing element. Setting the indicator causes the first processing element to stall. If the data has not been received, the other processing element is stalled while the data exchange component awaits receipt of the data.

Abstract: According to one embodiment, a method for traffic prioritization in a memory device includes sending a memory access request including a priority value from a processing element in the memory device to a crossbar interconnect in the memory device. The memory access request is routed through the crossbar interconnect to a memory controller in the memory device associated with the memory access request. The memory access request is received at the memory controller. The priority value of the memory access request is compared to priority values of a plurality of memory access requests stored in a queue of the memory controller to determine a highest priority memory access request. A next memory access request is performed by the memory controller based on the highest priority memory access request.

Abstract: An aspect includes optimizing an application workflow. The optimizing includes characterizing the application workflow by determining at least one baseline metric related to an operational control knob of an embedded system processor. The application workflow performs a real-time computational task encountered by at least one mobile embedded system of a wirelessly connected cluster of systems supported by a server system. The optimizing of the application workflow further includes performing an optimization operation on the at least one baseline metric of the application workflow while satisfying at least one runtime constraint. An annotated workflow that is the result of performing the optimization operation is output.

Abstract: Embodiments relate to storing data in memory. An aspect includes applying a power savings technique to at least a subset of a processor. Pending work items scheduled to be executed by the processor are monitored. The pending work items are grouped based on the power savings technique. The grouping includes delaying a scheduled execution time of at least one of the pending work items to increase an overall number of clock cycles that the power savings technique is applied to the processor. It is determined that an execution criteria has been met. The pending work items are executed based on the execution criteria being met and the grouping.

Abstract: Embodiments relate to packed loading and storing of data. An aspect includes a method for packed loading and storing of data distributed in a system that includes memory and a processing element. The method includes fetching and decoding an instruction for execution by the processing element. The processing element gathers a plurality of individually addressable data elements from non-contiguous locations in the memory which are narrower than a nominal width of register file elements in the processing element based on the instruction. The data elements are packed and loaded into register file elements of a register file entry by the processing element based on the instruction, such that at least two of the data elements gathered from the non-contiguous locations in the memory are packed and loaded into a single register file element of the register file entry.

Abstract: Embodiments relate to storing data in memory. An aspect includes applying a power savings technique to at least a subset of a processor. Pending work items scheduled to be executed by the processor are monitored. The pending work items are grouped based on the power savings technique. The grouping includes delaying a scheduled execution time of at least one of the pending work items to increase an overall number of clock cycles that the power savings technique is applied to the processor. It is determined that an execution criteria has been met. The pending work items are executed based on the execution criteria being met and the grouping.

Abstract: Embodiments relate to packed loading and storing of data. An aspect includes a system for packed loading and storing of distributed data. The system includes memory and a processing element configured to communicate with the memory. The processing element is configured to perform a method including fetching and decoding an instruction for execution by the processing element. A plurality of individually addressable data elements is gathered from non-contiguous locations in the memory which are narrower than a nominal width of register file elements in the processing element based on the instruction. The processing element packs and loads the data elements into register file elements of a register file entry based on the instruction, such that at least two of the data elements gathered from the non-contiguous locations in the memory are packed and loaded into a single register file element of the register file entry.

Abstract: An aspect includes accessing a vector register in a vector register file. The vector register file includes a plurality of vector registers and each vector register includes a plurality of elements. A read command is received at a read port of the vector register file. The read command specifies a vector register address. The vector register address is decoded by an address decoder to determine a selected vector register of the vector register file. An element address is determined for one of the plurality of elements associated with the selected vector register based on a read element counter of the selected vector register. A word is selected in a memory array of the selected vector register as read data based on the element address. The read data is output from the selected vector register based on the decoding of the vector register address by the address decoder.

Abstract: An aspect includes optimizing an application workflow. The optimizing includes characterizing the application workflow by determining at least one baseline metric related to an operational control knob of an embedded system processor. The application workflow performs a real-time computational task encountered by at least one mobile embedded system of a wirelessly connected cluster of systems supported by a server system. The optimizing of the application workflow further includes performing an optimization operation on the at least one baseline metric of the application workflow while satisfying at least one runtime constraint. An annotated workflow that is the result of performing the optimization operation is output.

Abstract: An aspect includes accessing a vector register in a vector register file. The vector register file includes a plurality of vector registers and each vector register includes a plurality of elements. A read command is received at a read port of the vector register file. The read command specifies a vector register address. The vector register address is decoded by an address decoder to determine a selected vector register of the vector register file. An element address is determined for one of the plurality of elements associated with the selected vector register based on a read element counter of the selected vector register. A word is selected in a memory array of the selected vector register as read data based on the element address. The read data is output from the selected vector register based on the decoding of the vector register address by the address decoder.

Abstract: Embodiments relate to vector processor predication in an active memory device. An aspect includes a system for vector processor predication in an active memory device. The system includes memory in the active memory device and a processing element in the active memory device. The processing element is configured to perform a method including decoding an instruction with a plurality of sub-instructions to execute in parallel. One or more mask bits are accessed from a vector mask register in the processing element. The one or more mask bits are applied by the processing element to predicate operation of a unit in the processing element associated with at least one of the sub-instructions.