Method and means for dynamically partitioning cache into a global and data type subcache hierarchy from a real time reference trace

Claim 2

In a data processing system having a host processor, an external storage system, and a cache management system wherein said cache management system comprises a cache hierarchy and a cache manager, a method for dynamically partitioning a least recently used (LRU) ordered cache hierarchy as a function of a real time reference trace, said cache hierarchy being positioned in a data path coupling said processor to said external storage subsystem, said cache hierarchy including a global and at least one local subcache, said cache hierarchy being operative in a global to local subcache to external storage subsystem destaging direction among referenced objects defined over a plurality of data types, said cache hierarchy being partitioned as to storage space between said global and destaging local caches, each local cache being bound to objects having the same data type, a "hit" being denominated as a comparison match between a reference request and location of the object within a subcache while a "miss" being denominated as the absence of an object within a subcache, comprising the steps of: (a) recursively, using said cache management system, creating and maintaining LRU lists of referenced objects located in the counterpart subcaches; (b) recursively, using said cache management system, creating and maintaining a multi-planar array of partition distribution data obtained from said real time reference trace and said LRU lists, each plane in said array having at least the integer dimensions of global subcache size, local subcache size, and data type; and (c) optimally, using said cache management system, resizing the global and local subcache partitions after a predetermined number of cycles in said real time reference trace according to a deterministic dynamic program operated over said array to reflect expected improved performance in said cache hierarchy.

Claim 3

The method according to claim 1, wherein step (b) includes 2*k disjoint sets of counters, k sets of said 2*k disjoint sets of counters indicating minimum counts and k sets of said 2*k disjoint sets of counters indicating maximum counts; further wherein responsive to each request in said real time reference trace, changing the contents of the global subcache to contain the most recently referenced or used (MRU) object by fetching the requested object into the global subcache, and if a global subcache full condition pertains, destaging the LRU object from the global subcache to the local subcache having the same data type as the destaged object; and further wherein responsive to each request in said real time reference trace and to the LRU list and array, incrementing each counter in a subset of counters included within one of the k disjoint subset of counters indicating minimum counts by a predetermined amount; incrementing each counter in a subset of counters included within one of the k disjoint subsets of counters indicating maximum counts by a predetermined amount; and updating the LRU list and array.

Claim 4

The method according to claim 2, wherein responsive to a predetermined number N of references in said trace, forming 2*k disjoint subsets of miss values as a function of the counts indicated in the 2*k disjoint sets of counters; determining an allocation of subcache space which would tend to minimize the misses to the cache for the N references; allocating the space in accordance with the determination to among the global and local subcaches.

Claim 5

A CPU implemented method for dynamically adjusting portions of a LRU referenceable memory space partitioned among a global subcache storing objects having k different data types and k local subcaches each bound to store objects of a single data type, applications executing on said CPU invoking a supervisory process to manage the subcache referencing, comprising the steps of: (a) determining, using said supervisory process, an optimal space allocation among the global and local subcaches responsive to a trace of references to objects stored among the subcaches by (1) recursively, using said supervisory process, creating and maintaining LRU lists of said objects located in counterpart subcaches; (2) recursively, using said supervisory process, creating and maintaining a multi-planar array of partition distribution data obtained from said reference trace and said LRU lists, each plane in said array having at least the integer dimensions of global subcache size, local subcache size, and data type; and (3) optimally, using said supervisory process, resizing the global and local subcache partitions after processing a predetermined number of references in said reference trace according to a deterministic dynamic program operating over said array; (b) responsive, using said supervisory process, to each reference in said reference trace, LRU ordering the objects in the global subcache and adjusting for overflow in the global to local subcache direction such that an object referenced among the subcaches is placed in the most recently used (MRU) position in the global subcache, and in the event of a subcache full condition, the LRU object in the global subcache is destaged to the local subcache having the same data type; and (c) repeating, using said supervisory process, steps (a) and (b) for request traces of different lengths.

Claim 6

A CPU implemented method for dynamically adjusting portions of a LRU referenceable memory space partitioned among a global subcache storing objects having k different data types and k local subcaches each bound to store objects of a single data type, applications executing on said CPU invoking a supervisory process to manage the subcache referencing, comprising the steps of: (a) determining, using said supervisory process, an optimal space allocation among the global and local subcaches responsive to a trace of references to objects stored among the subcaches by (1) recursively, using said supervisory process, creating and maintaining LRU lists of said objects located in counterpart subcaches; (2) recursively, using said supervisory process, creating and maintaining a multi-planar array of partition distribution data obtained from said reference trace and said LRU lists, each plane in said array having at least the integer dimensions of global subcache size, local subcache size, and data type; and (3) optimally, using said supervisory process, resizing the global and local subcache partitions after processing a predetermined number of references in said reference trace according to a deterministic dynamic program operating over said array; (b) responsive, using said supervisory process, to each reference in said reference trace, LRU ordering the objects in the global subcache and adjusting for overflow in the global to local subcache direction such that an object referenced among the subcaches is placed in the most recently used (MRU) position in the global subcache, and in the event of a subcache full condition, the LRU object in the global subcache is destaged to the local subcache having the same data type; and (c) repeating, using said supervisory process, steps (a) and (b) for request traces of different lengths.

Claim 7

The method according to claim 4, wherein step (a)(3) includes arranging a plurality of counters into 2*k disjoint sets such that the counters in each of the disjoint sets form a matrix of r rows and c columns where r is the number of different allowable global subcache sizes and c is the number of different allowable local subcache sizes for a given data type, thereby defining two matrices of counter values for each of the k data types, a first matrix for recording minimum count values and a second matrix for recording maximum count values.

Claim 8

The method according to claim 5, wherein the subcache sizes are restricted to zero and any positive integer.

Claim 9

The method according to claim 4, wherein step (a)(2) includes creating and maintaining a data structure ancillary to each LRU list and denominated "precount vectors", each LRU list representing a sort of object name and data type in a correlated LRU and grouped order, the precount vectors representing a sort of minimum and maximum numbers of objects in each group by data type in correlated group and subcache size order.

Claim 11

In a system having a processor, an external store, and means for establishing a path to data between said processor and external store, said means including a cache management system, said cache management system comprising a cache and a cache manager for maintaining objects referenced in said cache in least recently used (LRU) order, said cache being partitioned into a global cache for storing referenced objects in LRU order over k different data types and k local caches for storing referenced objects in LRU order over a single one of the k data types, said global and local subcaches forming a hierarchy operative in the global to local destaging direction such that any currently referenced object is inserted in the most recently used order in the global subcache, in the event of a cache full condition, overflow is managed by destaging the LRU object in the global subcache to the local subcache having the same data type, wherein the improvement in said means for establishing a path to data comprises: (a) a plurality of counters arranged into 2*k disjoint sets such that the counters in each of the disjoint sets form a matrix of r rows and c columns where r is the number of different allowable global subcache sizes and c is the number of different allowable local subcache sizes for a given data type, thereby defining two matrices of counter values for each of the k data types, a first matrix for recording minimum count values and a second matrix for recording maximum count values; (b) said cache management system comprising means responsive to a real time reference trace for recursively creating and maintaining LRU lists of said objects and associated data structures representing inverted sorted orders of subsets of the lists, said lists and structures being counterpart to each of the subcaches; (c) said cache management system comprising means for recursively creating and maintaining a multiplanar array of partition distribution data obtained from said real time reference trace and said LRU lists and structures data in said counter matrices; and (d) said cache management system comprising means for optimally resizing the global and local subcache partitions after processing a predetermined number of references in said real time reference trace according to a deterministic dynamic program operating over said array.

Claim 12

In a system having a processor, an external store, and means for establishing a path to data between said processor and external store, said means including a cache management system, said cache management system comprising a cache and a cache manager for maintaining objects referenced in said cache in least recently used (LRU) order, said cache being partitioned into a global cache for storing referenced objects in LRU order over k different data types and k local caches for storing referenced objects in LRU order over a single one of the k data types, said global and local subcaches forming a hierarchy operative in the global to local destaging direction such that any currently referenced object is inserted in the most recently used order in the global subcache, in the event of a cache full condition, overflow is managed by destaging the LRU object in the global subcache to the local subcache having the same data type, wherein the improvement in said means for establishing a path to data comprises: (a) a plurality of counters arranged into 2*k disjoint sets such that the counters in each of the disjoint sets form a matrix of r rows and c columns where r is the number of different allowable global subcache sizes and c is the number of different allowable local subcache sizes for a given data type, thereby defining two matrices of counter values for each of the k data types, a first matrix for recording minimum count values and a second matrix for recording maximum count values; (b) said cache management system comprising means responsive to a real time reference trace for recursively creating and maintaining LRU lists of said objects and associated data structures representing inverted sorted orders of subsets of the lists, said lists and structures being counterpart to each of the subcaches; (c) said cache management system comprising means for recursively creating and maintaining a multiplanar array of partition distribution data obtained from said real time reference trace and said LRU lists and structures data in said counter matrices; and (d) said cache management system comprising means for optimally resizing the global and local subcache partitions after processing a predetermined number of references in said real time reference trace according to a deterministic dynamic program operating over said array.