Abstract: It is determined that a guard band frequency for a first processor is to be determined. The guard band frequency is associated with a first system configuration. A validation start frequency is determined based, at least in part, on data associated with at least one of the first processor or a second processor. The validation start frequency is between a nominal operating frequency for the first processor and a system maximum operating frequency for the first processor. A guard band frequency for the second processor was previously determined. The guard band frequency for the first processor is determined based, at least in part, on the validation start frequency.

Abstract: In a method for designating cooling fan control management in a computing system, a processor causes one or more cooling fans to be managed by a first process, wherein the first process utilizes a first set of temperature sensors of a plurality of temperature sensors. A processor receives temperature data from a first set of temperature sensors. A processor determines a second process to manage the one or more cooling fans, based on the received temperature data from the first set of temperature sensors, wherein the second process utilizes a second set of temperature sensors of the plurality of temperature sensors.

Abstract: In a method for designating cooling fan control management in a computing system, a processor causes one or more cooling fans to be managed by a first process, wherein the first process utilizes a first set of temperature sensors of a plurality of temperature sensors. A processor receives temperature data from a first set of temperature sensors. A processor determines a second process to manage the one or more cooling fans, based on the received temperature data from the first set of temperature sensors, wherein the second process utilizes a second set of temperature sensors of the plurality of temperature sensors.

Abstract: A computer-implemented method includes capping the amount of power available to each of a plurality of compute nodes, and managing power allocation among subsystems within each of the compute nodes according to the requirements of workloads assigned to each of the compute nodes. The method further comprises reporting an actual performance level and performance capability for each subsystem within each of the plurality of compute nodes, and monitoring parametric data for a particular workload. A target compute node is identified from among the compute nodes, wherein the target compute node would be capable of performing the particular workload if power was reallocated from a first subsystem to a second subsystem within the target compute node. The particular workload is then assigned to the target compute node. Optionally, assigning the particular workload may include migrating the workload to the target compute node from another of the compute nodes.

Abstract: Whether validation of at least one of a plurality of previously validated processors on a first system produced data usable for computing a validation start frequency of an unvalidated processor on a second system is determined. If validation of at least one of the plurality of previously validated processors on the first system produced data usable for validating the unvalidated processor, a validation start frequency associated with the unvalidated processor can be computed based, at least in part, on system parametric data associated with a subset of the plurality of previously validated processors that were validated on the first system. Otherwise, the validation start frequency associated with the unvalidated processor is computed based, at least in part, on tester parametric data associated with the unvalidated processor. Validation of the guard band frequency for the unvalidated processor is initiated at the validation start frequency.

Abstract: A frequency guard band validation unit can determine whether at least one of a plurality of previously validated processors was validated on a first system having a substantially similar configuration as a second system in which an unvalidated processor is being tested. If at least one of the plurality of previously validated processors was validated on the first system, a validation start frequency associated with the unvalidated processor can be computed based, at least in part, on system parametric data associated with a subset of the plurality of previously validated processors that were validated on the first system. Otherwise, the validation start frequency associated with the unvalidated processor is computed based, at least in part, on tester parametric data associated with the unvalidated processor. Validation of the guard band frequency for the unvalidated processor is initiated at the validation start frequency. This can reduce the overall validation cycle time.

Abstract: A memory-efficient system and method for generating data blocks “on demand” for TDMA data bursts. In one embodiment of the present invention, a GSM transmitter module converts forward error correction (FEC) coded full-rate speech frames into TDMA data blocks. The transmitter module includes a memory configured to store the FEC coded frames in a current frame buffer and a previous frame buffer, an address generator configured to generate addresses of words in the current frame buffer during even clock cycles and addresses of words in the previous frame buffer during odd clock cycles. To generate the word addresses, the address generator operates on word offsets provided by a bit position generator, which also generates intra-word bit offsets. The memory provides the data words requested by the address generator to a multiplexer, which the selects a bit from each of the data words as indicated by the intra-word bit offsets from the bit position generator.

Abstract: A digital signal processor (DSP), hardware module, and shared memory coupled together to perform Viterbi decoding on a sequence of received symbols. Given channel coefficients, the DSP calculates initial data for Viterbi processing: combination values for each possible state and branch product values for each possible symbol. These values are stored in shared memory for access by the hardware module. The DSP further calculates the first few stages of the Viterbi processing so path metrics are well defined for every state. Path metric values are also stored into the shared memory. The hardware module is optimized to perform calculations associated with a single stage of the Viterbi algorithm. The DSP invokes by the hardware module by passing a received sample to the hardware module. The hardware module calculates a survivor state value and minimizing path metric value for each state in the state space.

Abstract: A memory-efficient system and method for generating data blocks "on demand" for TDMA data bursts. In one embodiment of the present invention, a GSM transmitter module converts forward error correction (FEC) coded full-rate speech frames into TDMA data blocks. The transmitter module includes a memory configured to store the FEC coded frames in a current frame buffer and a previous frame buffer, an address generator configured to generate addresses of words in the current frame buffer during even clock cycles and addresses of words in the previous frame buffer during odd clock cycles. To generate the word addresses, the address generator operates on word offsets provided by a bit position generator, which also generates intra-word bit offsets. The memory provides the data words requested by the address generator to a multiplexer, which the selects a bit from each of the data words as indicated by the intra-word bit offsets from the bit position generator.