The cache performance and optimizations of blocked algorithms
ASPLOS IV Proceedings of the fourth international conference on Architectural support for programming languages and operating systems
The architecture of the DIVA processing-in-memory chip
ICS '02 Proceedings of the 16th international conference on Supercomputing
Software-controlled on-chip memory for high-performance and low-power computing
ACM SIGARCH Computer Architecture News
IEEE Micro
SCIMA: Software Controlled Integrated Memory Architecture for High Performance Computing
ICCD '00 Proceedings of the 2000 IEEE International Conference on Computer Design: VLSI in Computers & Processors
Unlocking the Performance of the BlueGene/L Supercomputer
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
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Power-performance (performance per uniform power consumption) recently has become a more important factor in modern highperformance microprocessors. In processor design, it is a well-known that off-chip memory access has a large impact on both performance and power consumption. On-chip memory is one solution for this problem, so that many processors such as the Renesas SH-4 and some ARM architecture type processors adopt on-chip memory, which resides on the same layer as the cache memory. In this study, the effectiveness of the on-chip memory in an SH-4 processor was quantitatively examined by directly measuring the real power of the processor. For these experiments, we proposed a method that made use of the on-chip memory for power reduction. The experimental results show that the optimization of data transfer using on-chip memory reduces EDP(energy delay product) by up to 15.2%. As an extension of on-chip memory, we have proposed an on-chip RAM architecture called SCIMA (software controllable integrated memory architecture) which enables DMA (direct memory access) transfer to the on-chip memory. According to the empirical data from the SH-4 processor, it was found that the additional DMA transfer using SCIMA reduces EDP by up to 26.3%.