Abstract: Mechanisms for extracting data dependencies during runtime are provided. With these mechanisms, a portion of code having a loop is executed. A first parallel execution group is generated for the loop, the group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The first parallel execution group is executed by executing each iteration in parallel. Store data for iterations are stored in corresponding store caches of the processor. Dependency checking logic of the processor determines, for each iteration, whether the iteration has a data dependence. Only the store data for stores where there was no data dependence determined are committed to memory.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. With these mechanisms, a portion of code having a loop is executed. A first parallel execution group is generated for the loop, the group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The first parallel execution group is executed by executing each iteration in parallel. Store data for iterations are stored in corresponding store caches of the processor, Dependency checking logic of the processor determines, for each iteration, whether the iteration has a data dependence. Only the store data for stores where there was no data dependence determined are committed to memory.

Abstract: A mechanism programming a direct memory access engine operating as a multithreaded processor is provided. A plurality of programs is received from a host processor in a local memory associated with the direct memory access engine. A request is received in the direct memory access engine from the host processor indicating that the plurality of programs located in the local memory is to be executed. The direct memory access engine executes two or more of the plurality of programs without intervention by a host processor. As each of the two or more of the plurality of programs completes execution, the direct memory access engine sends a completion notification to the host processor that indicates that the program has completed execution.

Abstract: Mechanisms for performing data parallel function calls in code during runtime are provided. These mechanisms may operate to execute, in the processor, a portion of code having a data parallel function call to a target portion of code. The mechanisms may further operate to determine, at runtime by the processor, whether the target portion of code is a data parallel portion of code or a scalar portion of code and determine whether the calling code is data parallel code or scalar code. Moreover, the mechanisms may operate to execute the target portion of code based on the determination of whether the target portion of code is a data parallel portion of code or a scalar portion of code, and the determination of whether the calling code is data parallel code or scalar code.

Abstract: Mechanisms for performing data parallel function calls in code during runtime are provided. These mechanisms may operate to execute, in the processor, a portion of code having a data parallel function call to a target portion of code. The mechanisms may further operate to determine, at runtime by the processor, whether the target portion of code is a data parallel portion of code or a scalar portion of code and determine whether the calling code is data parallel code or scalar code. Moreover, the mechanisms may operate to execute the target portion of code based on the determination of whether the target portion of code is a data parallel portion of code or a scalar portion of code, and the determination of whether the calling code is data parallel code or scalar code.

Abstract: Mechanisms are provided for performing a floating point collect and operate for a summation across a vector for a dot product operation. A routing network placed before the single instruction multiple data (SIMD) unit allows the SIMD unit to perform a summation across a vector with a singe stage of adders. The routing network routes the vector elements to the adders in a first cycle. The SIMD unit stores the results of the adders into a results vector register. The routing network routes the summation results from the results vector register to the adders in a second cycle. The SIMD unit then stores the results from the second cycle in the results vector register.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. The mechanisms execute a portion of code having a loop and generate, for the loop, a first parallel execution group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The mechanisms further execute the first parallel execution group and determining, for each iteration in the subset of iterations, whether the iteration has a data dependence. Moreover, the mechanisms commit store data to system memory only for stores performed by iterations in the subset of iterations for which no data dependence is determined. Store data of stores performed by iterations in the subset of iterations for which a data dependence is determined is not committed to the system memory.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. The mechanisms execute a portion of code having a loop and generate, for the loop, a first parallel execution group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The mechanisms further execute the first parallel execution group and determining, for each iteration in the subset of iterations, whether the iteration has a data dependence. Moreover, the mechanisms commit store data to system memory only for stores performed by iterations in the subset of iterations for which no data dependence is determined. Store data of stores performed by iterations in the subset of iterations for which a data dependence is determined is not committed to the system memory.

Abstract: A mechanism is provided for reducing power consumed by a multi-core processor. Responsive to a number of properly functioning processor cores being more than a required number of processor cores in a multi-core processor, the power consumption measurement module determines a number of the properly functioning processor cores to disable. The power consumption measurement module initiates an equal amount of workload to be processed by each of the properly functioning processor cores. The power consumption measurement module determines power consumed by each of the properly functioning processor cores. The power consumption measurement module deactivates one or more of the properly functioning processor cores that have maximum power in order that the number of properly functioning processor cores deactivated is equal to the number of properly functioning processor cores to disable.

Abstract: A mechanism programming a direct memory access engine operating as a multithreaded processor is provided. A plurality of programs is received from a host processor in a local memory associated with the direct memory access engine. A request is received in the direct memory access engine from the host processor indicating that the plurality of programs located in the local memory is to be executed. The direct memory access engine executes two or more of the plurality of programs without intervention by a host processor. As each of the two or more of the plurality of programs completes execution, the direct memory access engine sends a completion notification to the host processor that indicates that the program has completed execution.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. With these mechanisms, a portion of code having a loop is executed. A first parallel execution group is generated for the loop, the group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The first parallel execution group is executed by executing each iteration in parallel. Store data for iterations are stored in corresponding store caches of the processor, Dependency checking logic of the processor determines, for each iteration, whether the iteration has a data dependence. Only the store data for stores where there was no data dependence determined are committed to memory.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. The mechanisms execute a portion of code having a loop and generate, for the loop, a first parallel execution group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The mechanisms further execute the first parallel execution group and determining, for each iteration in the subset of iterations, whether the iteration has a data dependence. Moreover, the mechanisms commit store data to system memory only for stores performed by iterations in the subset of iterations for which no data dependence is determined. Store data of stores performed by iterations in the subset of iterations for which a data dependence is determined is not committed to the system memory.

Abstract: A mechanism programming a direct memory access engine operating as a multithreaded processor is provided. A plurality of programs is received from a host processor in a local memory associated with the direct memory access engine. A request is received in the direct memory access engine from the host processor indicating that the plurality of programs located in the local memory is to be executed. The direct memory access engine executes two or more of the plurality of programs without intervention by a host processor. As each of the two or more of the plurality of programs completes execution, the direct memory access engine sends a completion notification to the host processor that indicates that the program has completed execution.

Abstract: Mechanisms for performing data parallel function calls in code during runtime are provided. These mechanisms may operate to execute, in the processor, a portion of code having a data parallel function call to a target portion of code. The mechanisms may further operate to determine, at runtime by the processor, whether the target portion of code is a data parallel portion of code or a scalar portion of code and determine whether the calling code is data parallel code or scalar code. Moreover, the mechanisms may operate to execute the target portion of code based on the determination of whether the target portion of code is a data parallel portion of code or a scalar portion of code, and the determination of whether the calling code is data parallel code or scalar code.

Abstract: A mechanism is provided for reducing power consumed by a multi-core processor. Responsive to a number of properly functioning processor cores being more than a required number of processor cores in a multi-core processor, the power consumption measurement module determines a number of the properly functioning processor cores to disable. The power consumption measurement module initiates an equal amount of workload to be processed by each of the properly functioning processor cores. The power consumption measurement module determines power consumed by each of the properly functioning processor cores. The power consumption measurement module deactivates one or more of the properly functioning processor cores that have maximum power in order that the number of properly functioning processor cores deactivated is equal to the number of properly functioning processor cores to disable.

Abstract: Mechanisms for performing data parallel function calls in code during runtime are provided. These mechanisms may operate to execute, in the processor, a portion of code having a data parallel function call to a target portion of code. The mechanisms may further operate to determine, at runtime by the processor, whether the target portion of code is a data parallel portion of code or a scalar portion of code and determine whether the calling code is data parallel code or scalar code. Moreover, the mechanisms may operate to execute the target portion of code based on the determination of whether the target portion of code is a data parallel portion of code or a scalar portion of code, and the determination of whether the calling code is data parallel code or scalar code.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. The mechanisms execute a portion of code having a loop and generate, for the loop, a first parallel execution group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The mechanisms further execute the first parallel execution group and determining, for each iteration in the subset of iterations, whether the iteration has a data dependence. Moreover, the mechanisms commit store data to system memory only for stores performed by iterations in the subset of iterations for which no data dependence is determined. Store data of stores performed by iterations in the subset of iterations for which a data dependence is determined is not committed to the system memory.

Abstract: Mechanisms are provided for performing a floating point collect and operate for a summation across a vector for a dot product operation. A routing network placed before the single instruction multiple data (SIMD) unit allows the SIMD unit to perform a summation across a vector with a single stage of adders. The routing network routes the vector elements to the adders in a first cycle. The SIMD unit stores the results of the adders into a results vector register. The routing network routes the summation results from the results vector register to the adders in a second cycle. The SIMD unit then stores the results from the second cycle in the results vector register.

Abstract: Mechanisms for extracting data dependencies during runtime are provided. With these mechanisms, a portion of code having a loop is executed. A first parallel execution group is generated for the loop, the group comprising a subset of iterations of the loop less than a total number of iterations of the loop. The first parallel execution group is executed by executing each iteration in parallel. Store data for iterations are stored in corresponding store caches of the processor. Dependency checking logic of the processor determines, for each iteration, whether the iteration has a data dependence. Only the store data for stores where there was no data dependence determined are committed to memory.

Abstract: Mechanisms for generating a worst case current waveform for testing of integrated circuit devices are provided. Architectural analysis of an integrated circuit device is first performed to determine an initial worst case power workload to be applied to the integrated circuit device. Thereafter, the derived worst case power workload is applied to a model and is simulated to generate a worst case current waveform that is input to an electrical model of the integrated circuit device to generate a worst case noise budget value. The worst case noise budget value is then compared to measured noise from application of the worst case power workload to a hardware implemented integrated circuit device. The worst case current waveform may be selected for future testing of integrated circuit devices or modifications to the simulation models may be performed and the process repeated based on the results of the comparison.