Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021)最新文献

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XJoin XJoin

Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021) Pub Date : 2021-06-20 DOI: 10.1145/3465998.3466012

Eugenio Marinelli, Raja Appuswamy

{"title":"XJoin","authors":"Eugenio Marinelli, Raja Appuswamy","doi":"10.1145/3465998.3466012","DOIUrl":"https://doi.org/10.1145/3465998.3466012","url":null,"abstract":"Modern server hardware is increasingly heterogeneous with a diverse mix of XPU architectures deployed across CPU, GPU, and FPGAs. However, till date, database developers have had to rely on either proprietary, architecture-specific solutions (like CUDA), or low-level, cross-architecture solutions that complicate development (like OpenCL). The lack of portable parallelism caused by the absence of a common high-level programming framework is one of the main reasons preventing a wider adoption of XPUs by database systems. In this paper, we take the first steps towards solving this problem using oneAPI-a cross-industry effort for developing an open, standards-based unified programming model that extends standard C++ to provide portable parallelism across diverse processor architectures. In particular, we port a recently-proposed, highly-optimized, GPU-based hash join algorithm from CUDA to Data Parallel C++ (DPC++). We then execute the hash join on multicore CPUs, integrated GPUs (Intel GEN9), and discrete GPUs (Intel DG1 and NVIDIA GeForce) without changing a single line of kernel code to demonstrate that DPC++ enables portable parallelism. We compare the performance of DPC++ kernels with hand-optimized CUDA kernels and model-based theoretical performance bounds to demonstrate the performance-portability trade off in using DPC++.","PeriodicalId":382224,"journal":{"name":"Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125927605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

GalOP

Proceedings of the 17th International Workshop on Data Management on New Hardware (DaMoN 2021) Pub Date : 2021-06-20 DOI: 10.1145/3465998.3466007

Nils Boeschen, Carsten Binnig

引用次数: 0