Abstract: Array of pointers prefetching is described. In accordance with described techniques, a pointer target instruction is detected by identifying that a destination location of a load instruction is used in an address compute for a memory operation and the load instruction is included in a sequence of load instructions having addresses separated by a step size. An instruction for fetching data of a future load instruction is injected in an instruction stream of a processor. The data of the future load instruction is stored in a temporary register. An additional instruction is injected in the instruction stream for prefetching a pointer target based on an address of the memory operation and the data of the future load instruction.

Abstract: Load dependent branch prediction is described. In accordance with described techniques, a load dependent branch instruction is detected by identifying that a destination location of a load instruction is used in an operation for determining whether a conditional branch is taken or not taken. The load instruction is included in a sequence of load instructions having addresses separated by a step size. An instruction is injected in an instruction stream of a processor for fetching data of a future load instruction using an address of the load instruction offset by a distance based on the step size. An additional instruction is injected in the instruction stream of the processor for precomputing an outcome of a load dependent branch using an address computed based on an address of the operation and the data of the future load instruction.

Abstract: Techniques for generating a model for predicting when different hybrid prefetcher configurations should be used are disclosed. Techniques for using the model to predict when different hybrid prefetcher configurations should be used are also disclosed. The techniques for generating the model include obtaining a set of input data, and generating trees based on the training data. Each tree is associated with a different hybrid prefetcher configuration and the trees output certainty scores for the associated hybrid prefetcher configuration based on hardware feature measurements. To decide on a hybrid prefetcher configuration to use, a prefetcher traverses multiple trees to obtain certainty scores for different hybrid prefetcher configurations and identifies a hybrid prefetcher configuration to used based on a comparison of the certainty scores.

Abstract: Techniques for identifying a hardware configuration for operation are disclosed. The techniques include applying feature measurements to a trained model; obtaining output values from the trained model, the output values corresponding to different hardware configurations; and operating according to the output values, wherein the output values include one of a certainty score, a ranking, or a regression value.

Abstract: Techniques for generating a model for predicting when different hybrid prefetcher configurations should be used are disclosed. Techniques for using the model to predict when different hybrid prefetcher configurations should be used are also disclosed. The techniques for generating the model include obtaining a set of input data, and generating trees based on the training data. Each tree is associated with a different hybrid prefetcher configuration and the trees output certainty scores for the associated hybrid prefetcher configuration based on hardware feature measurements. To decide on a hybrid prefetcher configuration to use, a prefetcher traverses multiple trees to obtain certainty scores for different hybrid prefetcher configurations and identifies a hybrid prefetcher configuration to used based on a comparison of the certainty scores.

Abstract: A device and method is illustrated to prefetch information based on a location of an instruction that resulted in a cache miss during its execution. The prefetch information to be accessed is determined based on previous and current cache miss information. For example, information based on previous cache misses is stored at data records as prefetch information. This prefetch information includes location information based on an instruction that caused a previous cache miss, and is accessed to generate prefetch requests for a current cache miss. The prefetch information is updated based on current cache miss information.

Abstract: A device and method is illustrated to prefetch information based on a location of an instruction that resulted in a cache miss during its execution. The prefetch information to be accessed is determined based on previous and current cache miss information. For example, information based on previous cache misses is stored at data records as prefetch information. This prefetch information includes location information based on an instruction that caused a previous cache miss, and is accessed to generate prefetch requests for a current cache miss. The prefetch information is updated based on current cache miss information.

Abstract: A method is provided for architectural integrated circuit power estimation. The method may include receiving a plurality of respective energy events, receiving a plurality of base-level energy models, and generating a plurality of power models. Each power model may hierarchically instantiate one or more of the base-level energy models. The method may further include mapping each respective energy event to one or more of the plurality of power models. The method may further include hierarchically evaluating a particular base-level energy model corresponding to a given respective energy event, estimating an energy associated with evaluation of the particular base-level energy model, and accumulating the energy in a power estimate corresponding to the given respective energy event.