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Data scheduling on processor-in-memory arrays based on data placement and data movement.pdf

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Data scheduling on processor-in-memory arrays based on data placement and data movement

Data Scheduling on Processor-In-MemoryArrays Based on Data Placement and DataMovementYi Tian Edwin H.-M. Sha Chantana ChantrapornchaiPeter M. KoggeDept. of Computer Science and EngineeringUniversity of Notre DameNotre Dame, IN 46556AbstractIn the study of PetaFlop project, Processor-In-Memory array was proposed to bea target architecture in achieving 1015 oating point operations per second computingperformance. However, one of the major obstacles to achieve the fast computing wasinterprocessor communications, which lengthen the total execution time of an appli-cation. A good data scheduling, consisting of nding initial data placement and datamovement during the run-time, can give a signicant reduction in the total commu-nication cost and the execution time of the application. In this paper, we proposeecient algorithms for the data scheduling problem. Experimental results show theeectiveness of the proposed approaches. Compared with default data distributionmethods such as row-wise or column-wise distributions, the average improvement forthe tested benchmarks can be up to 30%. This work was partially supported by NSF MIP 95-01006 and NSF ACS 96-12028.1 1 IntroductionSuper parallel architectures are studied in the PetaFlop project in order to achieve 1015 oat-ing point operations per second. As one of the design point teams for the PetaFlop project,we propose the Processor-In-Memory (PIM) architecture to achieve the desired PetaFlopperformance. The PIM technology is used to avoid the \traditional Von Neuman problemso as to enhance the computing capability [8]. PIM, the combination on one chip of bothdense DRAM memory and signicant amounts of logic, can place computing either rightnext to, or even inside of, the memory macros, where there are huge amounts of raw mem-ory bandwidth. One of the biggest obstacles encountered during the project developmentis how to nd the best way to place data and move data in the PIM array in order tominimize communications [20]