This application claims priority to GB Patent Application No. 2006684.1 filed 6 May 2020, the entire contents of which is hereby incorporated by reference.
The present techniques relate to data processing. More particularly they relate to the handling of load requests in a data processing apparatus.
A data processing apparatus may be provided with the capability, when performing load operations, to coalesce certain loads together which have been identified as having an appropriate degree of spatial proximity, such that they can be serviced simultaneously. More particularly it may be identified that the spatial proximity between two load requests is sufficiently close, that only one memory access need be carried out which will return the data requested by each of the spatially proximate load requests.
At least some examples provide an apparatus comprising: load handling circuitry responsive to a load request specifying a data item to retrieve from memory a series of data items comprising the data item identified by the load request; pending load buffer circuitry to buffer load requests prior to the load requests being carried out by the load handling circuitry to retrieve from memory data items specified by the load requests; coalescing circuitry to determine for the load request and a set of one or more other load requests buffered in the pending load buffer circuitry whether an address proximity condition is true, wherein the address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items, wherein the coalescing circuitry is responsive to the address proximity condition being true to suppress handling by the load handling circuitry of the set of one or more other load requests; and coalescing prediction circuitry to generate a coalescing prediction for the load request based on previous handling of load requests by the coalescing circuitry.
At least some examples provide a method of data processing comprising: buffering load requests prior to the load requests being carried out to retrieve from memory data items specified by the load requests, wherein carrying out a load request specifying a data item comprises retrieving from memory a series of data items comprising the data item identified by the load request; determining for the load request and a set of one or more other buffered load requests whether an address proximity condition is true, wherein the address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items; suppressing carrying out of the set of one or more other load requests when the address proximity condition is true; and generating a coalescing prediction for the load request based on previous handling of load requests.
At least some examples provide an apparatus comprising: means for buffering load requests prior to the load requests being carried out to retrieve from memory data items specified by the load requests, wherein carrying out a load request specifying a data item comprises retrieving from memory a series of data items comprising the data item identified by the load request; means for determining for the load request and a set of one or more other buffered load requests whether an address proximity condition is true, wherein the address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items; means for suppressing carrying out of the set of one or more other load requests when the address proximity condition is true; means for generating a coalescing prediction for the load request based on previous handling of load requests.
The present techniques will be described further, by way of example only, with reference to embodiments thereof as illustrated in the accompanying drawings, to be read in conjunction with the following description, in which:
In one example herein there is an apparatus comprising: load handling circuitry responsive to a load request specifying a data item to retrieve from memory a series of data items comprising the data item identified by the load request; pending load buffer circuitry to buffer load requests prior to the load requests being carried out by the load handling circuitry to retrieve from memory data items specified by the load requests; coalescing circuitry to determine for the load request and a set of one or more other load requests buffered in the pending load buffer circuitry whether an address proximity condition is true, wherein the address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items, wherein the coalescing circuitry is responsive to the address proximity condition being true to suppress handling by the load handling circuitry of the set of one or more other load requests; and coalescing prediction circuitry to generate a coalescing prediction for the load request based on previous handling of load requests by the coalescing circuitry.
Coalescing load requests is based on an identification that the load requests concerned are sufficiently spatially proximate (in terms of the memory locations which they reference) that they can be serviced by one “coalesced” memory access. This spatial proximity may be referred to herein as an “address proximity condition” being true for the load requests concerned. The opportunity to coalesce load requests in this manner arises in a system in which load handling circuitry, in response to a load request specifying a data item to be retrieved from memory, typically retrieves more than just the data item itself as part of the memory access triggered. This is due to the efficiencies which are gained by constraining memory accesses to particular data sizes, for example aligning this with the cache line size in the system (although the present techniques are not limited to this particular choice and other granules of memory are equally applicable). Generally, although the use of coalescing circuitry to determine whether pending load requests might be coalesced has a certain cost, there may be circumstances in which, despite the increase in latency incurred through the processing of the coalescing circuitry, this may be offset by an improvement in memory access bandwidth which can be substantial enough to obtain an overall performance increase, e.g. where a significant proportion of load instructions can be coalesced. Nevertheless the inventors of the present techniques have recognised that when only a relatively small number of load instructions can be successfully merged (coalesced), the increase in latency due to the additional coalescing processing may outweigh the benefit that can be obtained. The present techniques therefore propose the provision of coalescing prediction circuitry, which is arranged to generate a prediction of whether a given load request will be coalesced with other load requests, based on the previous handling of load requests by the coalescing circuitry. This coalescing prediction can then be made use of by the apparatus in a variety of ways, for example to modify its behaviour with respect to specific load requests.
In some embodiments the coalescing circuitry is responsive to a coalescing prediction of not-coalescing to suppress handling of the load request by the coalescing circuitry. Thus, as one possible response to the generated prediction that the load request will not coalesce with other load requests, the coalescing circuitry can avoid handling this load request and therefore save the processing effort when it is not expected that the load request will coalesce.
The gathering of information on previous handling of load requests by the coalescing circuitry may be provided in a variety of ways, but in some embodiments the apparatus further comprises a feedback path from the coalescing circuitry to the coalescing prediction circuitry, wherein the coalescing circuitry is responsive to a validity of the address proximity condition to signal to the coalescing prediction circuitry via the feedback path a coalescing outcome dependent on the validity of the address proximity condition for the load request. Accordingly, on the basis of the determination of the address proximity condition by the coalescing circuitry with respect to a load request the coalescing circuitry can signal to the coalescing prediction circuitry a coalescing outcome. Depending on the configuration this could be positively or negatively configured, i.e. it may be arranged for the coalescing circuitry to specifically indicate load requests which have not coalesced to the coalescing prediction circuitry or alternatively the coalescing circuitry may signal those load requests which have coalesced to the coalescing prediction circuitry. The coalescing prediction circuitry can then appropriately gather this information on which it can base its future predictions.
The coalescing prediction circuitry may be variously configured, but in some embodiments the coalescing prediction circuitry comprises coalescing history storage to hold content dependent on the previous handling of load requests by the coalescing circuitry, and the coalescing prediction circuitry is arranged to generate the coalescing prediction for the load request based on the content of the coalescing history storage.
The content held by the coalescing history storage may take a variety of forms, but in some embodiments the content held by the coalescing history storage comprises a probabilistic data structure. In some embodiments this content may explicitly correspond to the previous coalescing history outcomes, but in other embodiments it may also be reduced in a probabilistic fashion. A probabilistic history storage reduces the storage capacity required.
In some example embodiments the coalescing history storage comprises a Bloom filter.
In some embodiments the apparatus further comprises a hash generation unit to generate content of the probabilistic data structure, wherein the hash generation unit comprises a hash sequencer to generate the content of the probabilistic data structure in multiple hashing stages. Arranging the hash sequencer to generate the content of the probabilistic data structure in multiple hashing stages may allow a simpler hardware implementation.
Where a probabilistic data structure, such as a Bloom filter, depends on an evolving data structure which captures the coalescing history asymmetrically, i.e. the Bloom filter may be arranged to provide information on whether a particular load is certainly capable of being coalesced or whether it might (but it is not certain) not coalesce, the evolving nature of the data structure means that the rate of false positives (e.g. coalescing loads being flagged as non-coalescing) will generally increase with the passing of time. Accordingly in some embodiments the apparatus comprises reset circuitry to reset the content of the coalescing history storage in response to at least one of: elapse of a predetermined time period; receipt of a context switch indication; and/or attainment of a predetermined fullness of the coalescing history storage.
As mentioned above there are a variety of ways in which the apparatus may be arranged to make use of the coalescing prediction generated by the coalescing prediction circuitry, but in some embodiments the apparatus further comprises a bypass path leading to the load handling circuitry and bypassing the coalescing circuitry, wherein the coalescing prediction circuitry is responsive to the coalescing prediction of not-coalescing to cause the load request to be provided to the load handling circuitry via the bypass path. Thus the provision of the bypass path enables load requests which have been identified as being not-coalescing to proceed directly to the load handling circuitry without being processed by the coalescing circuitry.
In some embodiments the apparatus further comprises: second load handling circuitry responsive to the load request specifying the data item to retrieve from the memory the series of data items comprising the data item identified by the load request; and load handling selection circuitry responsive to the coalescing prediction generated by the coalescing prediction circuitry to direct the load request either to the load handling circuitry via the pending load buffer circuitry or to the second load handling circuitry in dependence on the coalescing prediction. Thus according to such embodiments the load handling circuitry of the apparatus is “doubled up” (by the provision of the second load handling circuitry) and the load handling selection circuitry can then use the coalescing prediction to either provide the load request to the load handling circuitry via the pending load buffer circuitry (and thus be subject to potential coalescing via the processing of the coalescing circuitry) or directly to the second load handling circuitry (in order to not even attempt coalescing).
In some such embodiments the apparatus further comprises: a first load request issue queue to feed the pending load buffer circuitry; and a second load request issue queue to feed the second load handling circuitry, wherein load handling selection circuitry is responsive to the coalescing prediction generated by the coalescing prediction circuitry to direct the load request either to the first load request issue queue or to the second load request issue queue in dependence on the coalescing prediction. This arrangement thus enables a further level of decoupling of the paths leading to the (first) load handling circuitry and the second load handling circuitry, by preceding each of them with a dedicated issue queue, namely a “coalescing” issue queue for the (first) load handling circuitry path and a “non-coalescing” issue queue leading to the second load handling circuitry.
Coalescing predictions that are generated may also be stored in a variety of locations in the apparatus and in some embodiments, wherein the load request originates from a load instruction, the apparatus further comprises an instruction cache storage to store entries for frequently used instructions, wherein the instruction cache storage is arranged to store the coalescing prediction in association with the load instruction. This thus enables the coalescing prediction to be efficiently made use of, and with reduced latency, when the load instruction is encountered again.
The instruction cache storage may for example be a micro-op cache.
In some embodiments the apparatus further comprises data dependency determination circuitry to determine data dependencies between instructions, wherein the coalescing prediction circuitry is arranged to generate the coalescing prediction in dependence on at least one data dependency determined by the data dependency determination circuitry. Information relating to data dependency between instructions has been found, under some circumstances, to be useful to determine the likelihood of coalescing. Generally, there are some load instructions which provide input values directly (or with very little indirection) to other nearby load instructions, for loads which access pointers tend not to be coalescing. Accordingly, the information generated by a data dependency determination circuitry can provide a basis for categorising instructions as to whether they are coalescing or non-coalescing based on their dependencies and/or what dependent instructions might depend on them.
The data dependency determination circuitry may for example comprise register renaming circuitry.
In some embodiments the coalescing prediction circuitry is arranged to generate a coalescing prediction of coalescing for the load request by default. Since this is necessary to send load instructions through the coalescing hardware at least once in order to determine the probability of coalescing with other loads in flight, this corresponds to a default behaviour of the apparatus to be coalescing.
In one example herein there is a method of data processing comprising: buffering load requests prior to the load requests being carried out to retrieve from memory data items specified by the load requests, wherein carrying out a load request specifying a data item comprises retrieving from memory a series of data items comprising the data item identified by the load request; determining for the load request and a set of one or more other buffered load requests whether an address proximity condition is true, wherein the address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items; suppressing carrying out of the set of one or more other load requests when the address proximity condition is true; and generating a coalescing prediction for the load request based on previous handling of load requests.
In one example herein there is an apparatus comprising: means for buffering load requests prior to the load requests being carried out to retrieve from memory data items specified by the load requests, wherein carrying out a load request specifying a data item comprises retrieving from memory a series of data items comprising the data item identified by the load request; means for determining for the load request and a set of one or more other buffered load requests whether an address proximity condition is true, wherein the address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items; means for suppressing carrying out of the set of one or more other load requests when the address proximity condition is true; means for generating a coalescing prediction for the load request based on previous handling of load requests.
Some particular embodiments are now described with reference to the figures.
The apparatus 10 further comprises a coalescing predictor 18, which is arranged to receive indications of incoming load requests (e.g. at least a portion of the load instruction address) and on the basis of the information relating to the load request to generate a coalescing prediction based on previous encounters with this load request. The apparatus 10 further comprises path selection circuitry 20, which is arranged to pass incoming load requests either to the pending loads buffer 14 or directly to the load unit 12. This choice of path is made on the basis of the output of the coalescing predictor 18. Accordingly, on the basis of the manner in which a given load request has previously been handled by the apparatus 10, the path selection circuitry 20 chooses the route which the load request will take through the apparatus. Specifically, the load request can be passed directly to the load unit 12, when it is not expected that the load request will coalesce and therefore the processing associated with the path via pending loads buffer 14 and coalescer 16 can be avoided.
Note also that the output of the coalescing predictor 66 is also shown in
A pending load which reaches the load unit 72 then causes data retrieval. The apparatus comprises active loads storage 74 in which a record is kept of in-flight loads for which access to the memory system has been initiated, but not completed. The handling of a load request begins by the load unit 72 passing the request to the translation lookaside buffer (TLB) look-up and fault check circuitry 76 in order to perform the required look-up (for conversion from virtual to physical addressing) and to respond to any faults appropriately. Note that various cache levels could additionally be provided (not illustrated) which might either be virtually indexed or physically indexed and the access to the TLB might thus be modified accordingly. When the relevant series of data items is retrieved, for example following a data cache access, i.e. either as a result of a cache hit or by further access to further levels of the memory system (not illustrated), the data read and way multiplexing circuitry 78 handles the resulting data. The data item corresponding to the load request itself is extracted and passed to the selector 86. The series of data items resulting from the memory access is passed via the data buffer 80 to the de-coalescing and formatting circuitry 82. De-coalescing circuitry 82 receives an indication of a merged (coalesced) load request from the coalescer 70, where this indication shows which elements of the series of data item are to be additionally extracted (in order to provide the data items corresponding to one or more other load requests which have been suppressed by virtue of coalescing with the load request which was nominally handled). The de-coalescing and formatting circuitry 82 thus extracts the required multiple data items for coalesced load requests. The results are then passed via data buffer 84 to the other input of selector 86. Selector 86 thus receives one input from data buffer 84 and one input from data read and way multiplexing circuitry 78. The choice between these is controlled by an input provided by the load unit 72, indicating whether this is a coalesced load or not. The resulting data is then stored in the result cache 88, which can also provide an input to the register read stage 62 as part of its processing to determine addresses of the load requests which it receives.
Pending load requests which are predicted to be non-coalescing pass from the NCIQ 110 via the register read stage 112 directly to a load unit 140. Since these load requests are predicted to be non-coalescing, the need for early address generation is not present and therefore it is after the load unit 140 that the address generation stage 142 is placed, enabling the memory access required to service these load requests to be started earlier, thus avoiding the latency associated with the early address generation of the coalescing path. Load unit 140 also maintains a record of its active loads in active load storage 144. The result of the address generation 142 is passed to the TLB lookup and fault check circuitry 124 and then to the data read and way multiplexing circuitry 126. The results of non-coalescing requests are passed directly from the data read and way multiplexing circuitry 126 to the selector 134. Controlled by the load unit 140, the selector then passes one of its inputs to the result cache 136, the content of which may be made use of by the register read stage 112 in its role in address resolution.
In brief overall summary, apparatuses and methods for handling load requests are disclosed. In response to a load request specifying a data item to retrieve from memory, a series of data items comprising the data item identified by the load request are retrieved. Load requests are buffered prior to the load requests being carried out. Coalescing circuitry determines for the load request and a set of one or more other load requests buffered in the pending load buffer circuitry whether an address proximity condition is true. The address proximity condition is true when all data items identified by the set of one or more other load requests are comprised within the series of data items. When the address proximity condition is true, the set of one or more other load requests are suppressed. Coalescing prediction circuitry generate a coalescing prediction for each load request based on previous handling of load requests by the coalescing circuitry.
In the present application, the words “configured to . . . ” are used to mean that an element of an apparatus has a configuration able to carry out the defined operation. In this context, a “configuration” means an arrangement or manner of interconnection of hardware or software. For example, the apparatus may have dedicated hardware which provides the defined operation, or a processor or other processing device may be programmed to perform the function. “Configured to” does not imply that the apparatus element needs to be changed in any way in order to provide the defined operation.
Although illustrative embodiments have been described in detail herein with reference to the accompanying drawings, it is to be understood that the invention is not limited to those precise embodiments, and that various changes, additions and modifications can be effected therein by one skilled in the art without departing from the scope of the invention as defined by the appended claims. For example, various combinations of the features of the dependent claims could be made with the features of the independent claims without departing from the scope of the present invention.
Number | Date | Country | Kind |
---|---|---|---|
2006684 | May 2020 | GB | national |
Number | Name | Date | Kind |
---|---|---|---|
5898852 | Petolino, Jr. | Apr 1999 | A |
6249851 | Richardson | Jun 2001 | B1 |
6336168 | Frederick, Jr. et al. | Jan 2002 | B1 |
6490674 | Arnold | Dec 2002 | B1 |
7032101 | Gschwind | Apr 2006 | B2 |
7492368 | Nordquist | Feb 2009 | B1 |
8874908 | Raudaschl | Oct 2014 | B2 |
9158573 | Busaba | Oct 2015 | B2 |
9946666 | Heinrich | Apr 2018 | B2 |
10282371 | Gaither | May 2019 | B1 |
20040088501 | Collard et al. | May 2004 | A1 |
20060236036 | Gschwind | Oct 2006 | A1 |
20080086594 | Chang | Apr 2008 | A1 |
20090240895 | Nyland | Sep 2009 | A1 |
20140047218 | Jackson | Feb 2014 | A1 |
20140258667 | Sudhakar | Sep 2014 | A1 |
20150169361 | Busaba et al. | Jun 2015 | A1 |
20150347138 | Gschwind | Dec 2015 | A1 |
20160267072 | Kappler | Sep 2016 | A1 |
20170277542 | Fernsler et al. | Sep 2017 | A1 |
20180232310 | Chang | Aug 2018 | A1 |
20200004536 | Shevgoor | Jan 2020 | A1 |
20200160401 | Hassan | May 2020 | A1 |
20200310814 | Kothinti Naresh | Oct 2020 | A1 |
20220035633 | Cain, III | Feb 2022 | A1 |
Number | Date | Country |
---|---|---|
2012123061 | Sep 2012 | WO |
2012123061 | Sep 2012 | WO |
Entry |
---|
Solomon et al., “Micro-Operation Cache: A Power Aware Frontend for Variable Instruction Length ISA”, ACM, 2001, pp. 4-9. |
Sha et al., “Scalable Store-Load Forwarding via Store Queue Index Prediction”, Proceedings of the 38th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'05), 2005, 12 pages. |
Jin et al., “Reducing Cache Traffic and Energy with Macro Data Load”, ACM, 2006, pp. 147-150. |
Search Report for GB2006684.1, dated Oct. 21, 2020, 4 pages. |
Orosa et al., “AVPP: Address-first Value-next Predictor with Value Prefetching for Improving the Efficiency of Load Value Prediction”, ACM Transactions on Architecture and Code Optimization, vol. 1, No. 1, article 1, Sep. 2018, 25 pages. |
Sleiman et al., “Efficiently Scaling Out-of-Order Cores for Simultaneous Multithreading”, 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture, IEEE, Jun. 18-22, 2016, 13 pages. |
U.S. Appl. No. 17/755,133, filed Apr. 21, 2022, Eyole et al. |
UKIPO Communication dated Feb. 9, 2021 for GB Application 2013205.6, 7 pages. |
Tae Jun Ham, et al., “Decoupling Data Supply from Computation for Latency-Tolerant Communication in Heterogeneous Architectures”, ACM Trans. Archit. Code Optim. 14, 2, Article 16 (Jun. 2017), 27 pages; DOI: http://dx.doi.org/10.1145/3075620. |
EPO Communication dated Aug. 14, 2020 for EP Application 19386044.2, 11 pages. |
James E. Smith, “Decoupled Access/Execute Computer Architectures”, Department of Electrical and Computer Engineering University of Wisconsin-Madison, Madison, Wisconsin 53706; 1982, 8 pages. |
Trevor E. Carlson, et al., “The Load Slice Core Microarchitecture”, ISCA '15, Jun. 13-17, 2015, Portland, OR, USA, 13 pages. |
Number | Date | Country | |
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20210349721 A1 | Nov 2021 | US |