This invention relates in general to memory systems and more particularly to improving performance of a processor having a defective cache.
A processor (such as an embedded microprocessor) typically includes one or more caches that occupy a large percentage of the area of the processor. For example, approximately half of the total chip area of a StrongARM SA-110 processor is devoted to two 16 KB caches. Cache arrays are particularly susceptible to faults, and the tolerance of cache faults significantly affects the yield of processors that include caches.
Overview
Particular embodiments of the present invention may reduce or eliminate problems and disadvantages associated with processors having defective caches.
In one embodiment, a method for improving performance of a processor having a defective cache includes accessing first object code and generating second object code from the first object code. The generation of the second object code takes into account one or more locations of one or more defects in a cache on a processor such that one or more instructions in the second object code are written only to nondefective locations in the cache.
Particular embodiments of the present invention may provide one or more technical advantages. As an example and not by way of limitation, particular embodiments improve performance, e.g., speed up operation, of processors having defective caches. In particular embodiments, defect-aware code placement reduces performance degradation of a processor having a cache that is only partially good. Particular embodiments modify the placement of basic blocks, or functions, in an address space of a cache to reduce or even minimize the occurrence of cache misses in a defective cache. Particular embodiments may provide all, some, or none of these technical advantages. Particular embodiments may provide one or more other technical advantages, one or more of which may be readily apparent to those skilled in the art from the figures, descriptions, and claims herein.
To provide a more complete understanding of the present invention and features and advantages thereof, reference is made to the following description, taken in conjunction with the accompanying drawings, in which:
Therefore, memory locations Mi and Mj are mapped to the same cache line if:
As an example and not by way of limitation, assume a direct-mapped cache having four cache lines that are each thirty-two bytes. Functions A, B, C and D may be put into the main memory as shown on the left side of
Particular embodiments generate an instruction trace corresponding to an execution of the application program as follows:
(o0,o1,o3,o5,o6,o7,o3,o5,o7,o3,o5,o6,o7,o3) (2)
Above, oi represents the ith instruction of the original object code. Assume ai represents the address of oi. Each instruction oi may be mapped to a memory block having the address
where L is cache-line size in bytes. From the instruction trace, a trace of the memory-block addresses accessed, TMB=(b1, b1, b2, b3, . . . ), may be generated.
X(bi) may be defined as follows:
Ws is the number of nonfaulty cache lines in the sth cache set. The total number of misses can be calculated as follows:
The above formula takes into account the effect of faulty cache lines. Particular embodiments generate gaps in the object code, which in turn increases memory requirements associated with the object code, but do not increase the size of the object code.
Particular embodiments generate a shorter trace that results in the same number of misses, but may be processed faster.
Function Size≦L×(S−1)+I (4)
L, S, and I represent cache-line size in bytes, the number of cache sets, and instruction-word size in bytes, respectively. If a function satisfies the above condition, two instructions, oi and oj, of the function will never evict each other, regardless of where in the address space the function is placed. As a result, when a loop is executed, if all instructions in the loop belong to the function and the loop is executed n times, n−1 instances may be deleted from the trace.
The following notations may be used in the problem formulation in particular embodiments:
The above algorithm starts from an original object code and finds the optimal location of each function of the application program in the address space. This may be done by changing the order of placing functions in the address space and finding the best ordering. For each ordering, the algorithm updates the trace of memory block addresses executed (Tc) according to the locations of functions and calculates the total number of cache misses (Mtotal) using (3). The ordering yielding the minimum number of cache misses is selected. The algorithm continues as long as the number of cache misses reduces and is no less than Mbound. The computation time of the algorithm is quadratic in terms of the number of functions in the application program.
Particular embodiments have been used to describe the present invention. A person having skill in the art may comprehend one or more changes, substitutions, variations, alterations, or modifications to the particular embodiments used to describe the present invention that are within the scope of the appended claims. The present invention encompasses all such changes, substitutions, variations, alterations, and modifications.
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