The ·performance gap between processor and memo ry is very serious pro blem in high-performance comput ing because effective performance is limited by memo ry ability. In order to overcome this problem, it is in dispensable to make good use of wide on-chip memo ry bandwidth. For this purpose, arc hitecture and com piler co-optimization is a promising approach beCause most of data access is regular and/or predictable in high performance computing.Thus, we propose a new VLSI architecture called SCI MA as a platform of the co-optimization. SCIMA inte grates software controllable memory (SCM) into a pro cessor chip in addition to ordinary data cache. SCM and cache -can be reconfigured by software during com putation. Hence, memory hierarchy itself is the target of compiler optimization. In this sense, architecture and compiler co-optimization is realized in SCIMA.Towards the co-optimization, we have developed a directive-based compiler and an algorithm of SCM us age to insert directives automatically. In this paper, we present the directives and the outline of the algorithm for automatic optimization.
In order to overcome performance degradation caused by performance disparity between processor and main memory, there have been proposed several new VLSI architectures which have software controlled on-chip memory in addition to the conventional cache. However, users must specify data allocation/replacement on software controlled on-chip memory and data transfer between the on-chip and off-chip memories to achieve higher performance by utilizing on-chip memory. Because such properties are automatically controlled by hardware in conventional caches, a cost of optimization for a program becomes a matter that should be considered.In this paper, we propose an data movement optimization technique for software-controlled on-chip memory. We evaluated the proposed method using two applications. The results reveal that the proposed technique can drastically reduce memory stall cycles and achieve high performance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.