Procedure placement using temporal-ordering information: dealing with code size expansionin

(eng) Instruction cache performance is one of the bottle-necks of processor performance. In this paper, we study the effects of procedure placement in memory on a direct-mapped instruction cache. These caches differ from associative memory caches by the fact that each address in the memory is assigned to one and only one address in the cache. This means that two procedures with addresses that share the same place in the cache, and that are called alternatively will create a conflict-miss: one will overwrite the other in the cache. The goal of procedure placement is to minimize these cache-misses. Pettis and Hansen give in [PH] a greedy algorithm that doesn't increase the code size. The Gloy and Smith algorithm [TRG] greatly decreases the number of cache-misses but authorizes gaps between procedures, hence it increases the code size. The latter comprises of two main stages: in the ``cache-placement'' phase, the procedures are given the location they will occupy in the instruction cache; in the ``memory-placement'' phase, procedures are placed in memory in such a way that code expansion is minimized, with the constraints of their cache placement. In this article, we prove the NP-completeness of the first stage, and the polynomiality of the second stage of [TRG]. Indeed, we show that our algorithm provides the optimal solution in a time complexity o