ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis

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dc.contributor.authorZhang, Jieko
dc.contributor.authorJung, Myoungsooko
dc.date.accessioned2020-12-16T01:50:28Z-
dc.date.available2020-12-16T01:50:28Z-
dc.date.created2020-12-15-
dc.date.created2020-12-15-
dc.date.issued2020-06-03-
dc.identifier.citation47th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2020, pp.1064 - 1075-
dc.identifier.urihttp://hdl.handle.net/10203/278539-
dc.description.abstractWe propose ZnG, a new GPU-SSD integrated architecture, which can maximize the memory capacity in a GPU and address performance penalties imposed by an SSD. Specifically, ZnG replaces all GPU internal DRAMs with an ultra-low-latency SSD to maximize the GPU memory capacity. ZnG further removes performance bottleneck of the SSD by replacing its flash channels with a high-throughput flash network and integrating SSD firmware in the GPU's MMU to reap the benefits of hardware accelerations. Although flash arrays within the SSD can deliver high accumulated bandwidth, only a small fraction of such bandwidth can be utilized by GPU's memory requests due to mismatches of their access granularity. To address this, ZnG employs a large L2 cache and flash registers to buffer the memory requests. Our evaluation results indicate that ZnG can achieve 7.5× higher performance than prior work.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis-
dc.typeConference-
dc.identifier.wosid000617734800079-
dc.identifier.scopusid2-s2.0-85091980062-
dc.type.rimsCONF-
dc.citation.beginningpage1064-
dc.citation.endingpage1075-
dc.citation.publicationname47th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2020-
dc.identifier.conferencecountrySP-
dc.identifier.conferencelocationVirtual-
dc.identifier.doi10.1109/ISCA45697.2020.00090-
dc.contributor.localauthorJung, Myoungsoo-
dc.contributor.nonIdAuthorZhang, Jie-
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EE-Conference Papers(학술회의논문)
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