International Business Machines Corporation

Adam B Collura

James J Bonanno

Brian Robert Prasky

Anthony Saporito

Daniel Lipetz

Michael J Cadigan, Jr

Steven R Carlough

Edward Thomas Malley

Jang-Soo Lee

Christian Jacobi

James Raymond Cuffney

Chung-Lung K Shum

Eric M Schwarz

Silvia Melitta Mueller

Khary J Alexander

Jane Helen Bartik

Wen H Li

Michael Billeci

James R Mitchell

Jatin Bhartia

Suman Amugothu

Timothy John Slegel

Patrick James Meaney

Gregory William Alexander

Craig Raymond Walters

Ulrich Mayer

Jonathan T Hsieh

Michael Klaus Kroener

Eyal Naor

Matthias D Heizmann

Steven J Hnatko

Yair Fried

Dominic Ditomaso

Varnika Atmakuri

Alper Buyuktosunoglu

Michael F Fee

William Vincent Huott

Robert J Sonnelitter, Iii

Bruce C Giamei

Tobias Webel

Ashutosh Misra

Arthur J O'Neill, Jr

Gerard M Salem

Stefan Payer

Klaus Michael Kroener

Timothy J Siegel

Pawel Owczarczyk

Lawrence Joseph Powell, Jr

Sean Michael Carey

Mark Alan Erle

Deepankar Bhattacharjee

Paul Jacob Logsdon

Karl Evan Smock Anderson

Michael Romain

Mark Cichanowski

A method of branch prediction in a processor includes: obtaining, by the processor, a branch instruction for which a direction of a branch is to be predicted; generating, by the processor, an index based on an instruction address, a global path vector (GPV), and a counter; selecting, by the processor, an entry from a data structure using the index; and predicting, by the processor, the direction of the branch using information included in the selected entry. The method may include modifying a tag in the selected entry based at least in part on another GPV.

Branch prediction using speculative indexing and intraline count

Embodiments include a hierarchical metadata prediction system that includes a first line-based predictor having a first line for storage of metadata entries, and a second line-based predictor configured to store metadata entries from the first line-based predictor. The second line-based predictor has a second line, the second line including a plurality of containers, the plurality of containers including at least a first set of containers having a first size and a second set of containers having a second size. The system also includes a processing device configured to transfer one or more metadata entries between the first line-based predictor and the second-line based predictor. Embodiments also include a computer-implemented method and a computer program product.

Variable formatting of branch target buffer

Embodiments for a metadata predictor. An index pipeline generates indices in an index buffer in which the indices are used for reading out a memory device. A prediction cache is populated with metadata of instructions read from the memory device. A prediction pipeline generates a prediction using the metadata of the instructions from the prediction cache, the populating of the prediction cache with the metadata of the instructions being performed asynchronously to the operating of the prediction pipeline.

Metadata predictor

Aspects of the invention include a computer-implemented method of updating metadata prediction tables. The computer-implemented method includes establishing, in the metadata prediction tables, a prediction of how a set of instructions will resolve and identifying that the set of instructions is completed. The computer-implemented method also includes determining, upon completion of the set of instructions, whether prediction update queues (PUQs) associated with the set of instructions indicate that the set of instructions resolved in one of a plurality of prescribed manners relative to the prediction and deciding that the metadata predictions tables are candidates to be updated based on the PUQs indicating that the set of instructions resolved in one of the plurality of prescribed manners.

Updating metadata prediction tables using a reprediction pipeline

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

Embodiments are provided for using metadata presence information to determine when to access a higher-level metadata table. It is determined that an incomplete hit occurred for a line of metadata in a lower-level structure of a processor, the lower-level structure being coupled to a higher-level structure in a hierarchy. It is determined that metadata presence information in a metadata presence table is a match to the line of metadata from the lower-level structure. Responsive to determining the match, it is determined to avoid accessing the higher-level structure of the processor.

Using metadata presence information to determine when to access a higher-level metadata table

Embodiments include storing return addresses for a branch-target-buffer. Aspects include receiving a first instruction and based on a determination that the first instruction is a branch instruction and potentially a call, storing a return address associated with the branch instruction in a prediction return address table, wherein the prediction return address table includes an entry that corresponds to an index value that is created based on a target address of the first instruction, and wherein the entry includes the return address that is created based on an address of a sequential instruction of the first instruction. Aspects also include receiving a second instruction and based on a determination that the second instruction is predicted to be a return instruction with a predicted return address table index value from the branch-target-buffer, using the index value to select the return address to predict as the target address.

Return address table branch predictor

Embodiments are provided for an integrated semi-inclusive hierarchical metadata predictor. A hit in a second-level structure is determined, the hit being associated with a line of metadata in the second-level structure. Responsive to determining that a victim line of metadata in a first-level structure meets at least one condition, the victim line of metadata is stored in the second-level structure. The line of metadata from the second-level structure is stored in a first-level structure to be utilized to facilitate performance of a processor, the line of metadata from the second-level structure including entries for a plurality of instructions.

Integrated semi-inclusive hierarchical metadata predictor

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

A system includes a branch predictor and a processing circuit configured to perform a plurality of operations including storing a skip-over offset value in the branch predictor. The skip-over offset value defines a number of search addresses of the branch predictor to be skipped. The operations further include searching the branch predictor for a branch prediction. Responsive to finding the branch prediction, the searching of the branch predictor is re-indexed based on the skip-over offset value associated with the branch prediction.

Skip-over offset branch prediction

A computer-implemented method for marking load and store instruction overlap in a processor pipeline is described. The method includes detecting a load instruction following a store instruction in an instruction stream. The load instruction and the store instruction include instruction text. The instruction text includes operand address information. The method includes comparing operand address information of the store instruction with operand address information of the load instruction to determine whether there is a memory image overlap in an issue queue between the operand address information of the store instruction and the load instruction. The method also includes delaying the load instruction in the processor pipeline in response to determining that there is a memory image overlap.

Comparing load instruction address fields to store instruction address fields in a table to delay issuing dependent load instructions

A system includes a hierarchical metadata predictor and a processing circuit. The hierarchical metadata predictor includes a first-level metadata predictor and a second-level metadata predictor. The processing circuit is configured to perform a plurality of operations including storing new or updated metadata into the first-level metadata predictor and searching the first-level metadata predictor for a metadata prediction. Responsive to finding the metadata prediction in the first-level metadata predictor, the metadata prediction is output corresponding to an entry of the first-level metadata predictor that is a hit. One or more entries of the first-level metadata predictor that are non-hits are periodically written to the second-level metadata predictor. The first-level metadata predictor is updated based on locating the metadata prediction in the second-level metadata predictor.

Hierarchical metadata predictor with periodic updates

A computer system includes a branch detection module and a branch predictor module. The branch detection module determines that a first program branch is a possible call branch having a next sequential instruction address (NSIA), and determines that a first routine branch is a possible return capable branch having the first routine instruction address that is a detected as being offset. The branch predictor module determines that a second program branch is a possible call branch having a next sequential instruction address (NSIA), and determines that a second routine branch is a predicted return branch having a predicted target instruction address based on the NSIA of the second program branch and the predicted offset.

Call/return stack branch target predictor to multiple next sequential instruction addresses

Methods, systems and computer program products for heuristically invalidating non-useful entries in an array are provided. Aspects include receiving an instruction that is associated with an operand store compare (OSC) prediction for at least one of a store function and a load function. The OSC prediction is stored in an entry of an OSC history table (OHT). Aspects also include executing the instruction. Responsive to determining, based on the execution of the instruction, that data forwarding did not occur, aspects include incrementing a useless OSC prediction counter. Responsive to determining that the useless OSC prediction counter is equal to a predetermined value, aspects also include invalidating the entry of the OHT associated with the instruction.

Heuristic invalidation of non-useful entries in an array

Provided are embodiments including a computer-implemented method, system and computer program product for determining precise operand-store-compare (OSC) predictions to avoid false dependencies. Some embodiments include detecting an instruction causing an OSC event, wherein the OSC event is at least one of a store-hit-load event or a load-hit-store event, marking an entry in a queue for the instruction based on the detected OSC event, wherein marking the entry comprises setting a bit and saving a tag in the entry in the queue. Some embodiments also include installing an address for the instruction and the tag in the history table responsive to completing the instruction.

Making precise operand-store-compare predictions to avoid false dependencies

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Hyde Park, NY, United States of America

Adam B Collura