International Business Machines Corporation

Michael J Cadigan, Jr

James J Bonanno

Adam B Collura

Daniel Lipetz

Jeffrey M Turner

Brian Robert Prasky

Howard M Haynie

Jonathan T Hsieh

Nihad Hadzic

Matthias D Heizmann

Raymond Wong

Donald W Schmidt

Anthony Saporito

Scot H Rider

Christian Jacobi

Patrick James Meaney

Bruce H Ratcliff

Craig Raymond Walters

Carl Alfred Bender

Jose Luis Neves

James J Curtin

Douglas S Search

Mushfiq U Saleheen

Ray Raphy

Taylor J Pritchard

Edward J Hughes

Chung-Lung K Shum

Alper Buyuktosunoglu

Martin Recktenwald

William Vincent Huott

Jerry Wayne Stevens

Stephen R Valley

Jane Helen Bartik

Tobias Webel

Ashutosh Misra

Edward Thomas Malley

Stefan Payer

Aditya Nitin Puranik

James Raymond Cuffney

Jang-Soo Lee

Pawel Owczarczyk

Erez Barak

Sean Michael Carey

Yossi Shapira

Yair Fried

Deepankar Bhattacharjee

Thomas Donald Moore

Patrick Gerald Brown

Paul Jacob Logsdon

Karl Evan Smock Anderson

Kevin M McIlvain

Michael Romain

Joel Goldman

Kevin M Mcllvain

Mark Cichanowski

The method and systems described herein provide for identifying and mitigating undesirable power or voltage fluctuations in regions of a semiconductor device. For example, embodiments include detecting a region, such as an individual processor, of a processor chip is exhibiting a reduced power draw and a resulting localized voltage spike (e.g., a spike that exceeds Vmax) that would accelerate overall device end-of-life (EOL). The described systems respond by activating circuits or current generators located in the given region to draw additional power via a protective current. The protective current lowers the local voltages spikes back to within some pre-specified range (e.g., below a Vmax). The resulting reduction in the time above Vmax in testing reduces the number of devices that will need to be discarded due to Vmax violations as well as increases the expected reliability and lifespan of the device in operation.

Method to limit the time a semiconductor device operates above a maximum operating voltage

Methods, systems and computer program products for dynamically selecting an OSC hazard avoidance mechanism are provided. Aspects include receiving a load instruction that is associated with an operand store compare (OSC) prediction. The OSC prediction is stored in an entry of an OSC history table (OHT) and includes a multiple dependencies indicator (MDI). Responsive to determining the MDI is in a first state, aspects include applying a first OSC hazard avoidance mechanism in relation to the load instruction. Responsive to determining that the load instruction is dependent on more than one store instruction, aspects include placing the MDI in a second state. The MDI being in the second state provides an indication to apply a second OSC hazard avoidance mechanism in relation to the load instruction.

Dynamic selection of OSC hazard avoidance mechanism

Systems and methods of performing processor pipeline management include receiving an instruction for processing, determining that data in a first memory sub-group of a memory group needed to process the instruction is not available in a cache that ensures fixed latency access, and determining that the instruction should be put in a sleep state. The sleep state indicates that the instruction will not be reissued until the instruction is moved to a wakeup state. The methods also include associating the instruction with a ticket identifier (ID) that corresponds with a second memory sub-group of the memory group, and moving the instruction to the wakeup state based on the second memory sub-group of the memory group being moved into the cache.

Processor pipeline management during cache misses using next-best ticket identifier for sleep and wakeup

Embodiments of the inventions are directed towards a computer-implemented methods and systems for determining an oldest logical memory address. The method includes creating an M number of miss request registers and an N number of stations in a load/store unit of the processor. In response to load requests from target instructions, a processor detects each L1 cache miss. The processor stores data related to each L1 cache miss in a respective miss request register. The data includes an age of each L1 cache miss and a portion of a logical memory address of the requested load. The processor stores the entire logical memory addresses of the requested loads in respective stations based on an age of the load requests. The processor transmits the oldest logical memory address that is stored at the stations.

Determining logical address of an oldest memory access request

Methods, systems and computer program products for monitoring delivered packages are provided. Aspects include receiving, by a co-processor, a data stream and performing processing on the data stream. Aspects also include writing, by the co-processor, a data record into the output buffer. Based on a determination that the data record should replace a most recently stored data record in a cache, aspects include providing, by the co-processor to the cache controller, an instruction for the cache controller to write the data record to a location in the cache obtained from a most recently used address register. Based on a determination that the data record should not replace the most recently stored data record in the cache, aspects include writing, by the cache controller, the data record to an available location in the cache.

Maintaining data order between buffers

Examples of techniques for distance-based branch prediction are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes: determining, by a processing system, a potential return instruction address (IA) by determining whether a relationship is satisfied between a first target IA and a first branch IA; storing a second branch IA as a return when a target IA of a second branch matches a potential return IA for the second branch; and applying the potential return IA for the second branch as a predicted target IA of a predicted branch IA stored as a return.

Distance based branch prediction and detection of potential call and potential return instructions

Embodiments are directed to a method for optimizing performance of a microprocessor. The method includes monitoring the performance of the microprocessor in each of a plurality of performance modes. The method further includes choosing a performance mode based on the monitoring. Thereafter, using the performance mode for a predetermined amount of time. Each of the plurality of performance modes is a branch prediction mode.

Heuristic method to control fetching of metadata from a cache hierarchy

Embodiments include method, systems and computer program products for variable branch target buffer line size for compression. In some embodiments, a branch target buffer (BTB) congruence class for a line of a first parent array of a BTB may be determined. A threshold indicative of a maximum number branches to be stored in the line may be set. A branch may be received to store in the line of the first parent array. A determination may be made that storing the branch in the line would exceed the threshold and the line can be responsively split into an even half line and an odd half line.

Variable branch target buffer (BTB) line size for compression

A computer-implemented method for predicting a taken branch that ends an instruction stream in a pipelined high frequency microprocessor includes receiving, by a processor, a first instruction within a first instruction stream, the first instruction including a first instruction address. The computer-implemented method further includes searching, by the processor, a stream-based index accelerator predictor one time for the stream; determining, by the processor, a prediction for a branch ending the branch stream; influencing, by the processor, a metadata prediction engine based on the prediction; and updating, by the processor, a stream-based index accelerator predictor with information indicative of the prediction.

Stream based branch prediction index accelerator with power prediction

A computer-implemented method for predicting a taken branch that ends an instruction stream in a pipelined high frequency microprocessor includes receiving, by a processor, a first instruction within a first instruction stream, the first instruction comprising a first instruction address; searching, by the processor, an index accelerator predictor one time for the stream; determining, by the processor, a prediction for a taken branch ending the branch stream; influencing, by the processor, a metadata prediction engine based on the prediction; observing a plurality of taken branches from the exit accelerator predictor; maintaining frequency information based on the observed taken branches; determining, based on the frequency information, an updated prediction of the observed plurality of taken branches; and updating, by the processor, the index accelerator predictor with the updated prediction.

Stream based branch prediction index accelerator for multiple stream exits

A computer-implemented method for predicting a taken branch that ends an instruction stream in a pipelined high frequency microprocessor includes receiving, by a processor, a first instruction within a first instruction stream, the first instruction comprising a first instruction address; searching, by the processor, an index accelerator predictor one time for the stream; determining, by the processor, a prediction for a taken branch ending the branch stream; influencing, by the processor, a metadata prediction engine based on the prediction; observing a plurality of taken branches from the exit accelerator predictor; maintaining frequency information based on the observed taken branches; determining, based on the frequency information, an updated prediction of the observed plurality of taken branches; and updating, by the processor, the index accelerator predictor with the the updated prediction.

A computer-implemented method includes determining, by a stream-based index accelerator predictor of a processor, a predicted stream length between an instruction address and a taken branch ending an instruction stream. A first-level branch predictor of a hierarchical asynchronous lookahead branch predictor of the processor is searched for a branch prediction in one or more entries in a search range bounded by the instruction address and the predicted stream length. A search of a second-level branch predictor of the hierarchical asynchronous lookahead branch predictor is triggered based on failing to locate the branch prediction in the search range.

Branch predictor search qualification using stream length prediction

Scheduling memory accesses in a memory system having a multiple ranks of memory, at most r ranks of which may be powered up concurrently, in which r is less than the number of ranks. If fewer than r ranks are powered up, a subset of requested powered down ranks is powered up, such that at r ranks are powered up, the subset of requested powered down ranks to be powered up including the most frequently accessed requested powered down ranks. Then, if fewer than r ranks are powered up, a subset of unrequested powered down ranks is powered up, such that a total of at most r ranks is powered up concurrently, the subset of unrequested powered down ranks to be powered up including the most frequently accessed unrequested powered down ranks.

Predictive scheduler for memory rank switching

According to an aspect, virtualized weight perceptron branch prediction is provided in a processing system. A selection is performed between two or more history values at different positions of a history vector based on a virtualization map value that maps a first selected history value to a first weight of a plurality of weights, where a number of history values in the history vector is greater than a number of the weights. The first selected history value is applied to the first weight in a perceptron branch predictor to determine a first modified virtualized weight. The first modified virtualized weight is summed with a plurality of modified virtualized weights to produce a prediction direction. The prediction direction is output as a branch predictor result to control instruction fetching in a processor of the processing system.

Perceptron branch predictor with virtualized weights

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Poughkeepsie, NY, United States of America

Michael J Cadigan, Jr