Apache Spark is an in-memory data processing system that supports both SQL queries and advanced analytics over large data sets. In this paper, we present our design and implementation of Spark-GPU that enables Spark to utilize GPU’s massively parallel processing ability to achieve both high performance and high throughput. Spark-GPU transforms a general-purpose data processing system into a GPU-supported system by addressing several real-world technical challenges including minimizing internal and external data transfers, preparing a suitable data format and a batching mode for efficient GPU execution, and determining the suitability of workloads for GPU with a task scheduling capability between CPU and GPU. We have comprehensively evaluated Spark-GPU with a set of representative analytical workloads to show its effectiveness. Our results show that Spark-GPU improves the performance of machine learning workloads by up to 16.13x and the performance of SQL queries by up to 4.83x.<\/p>\n","protected":false},"excerpt":{"rendered":"
Apache Spark is an in-memory data processing system that supports both SQL queries and advanced analytics over large data sets. In this paper, we present our design and implementation of Spark-GPU that enables Spark to utilize GPU’s massively parallel processing ability to achieve both high performance and high throughput. Spark-GPU transforms a general-purpose data processing […]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,89,3],"tags":[1782,14,1025,20,1526,1896,854],"class_list":["post-16962","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-machine-learning","tag-nvidia","tag-nvidia-geforce-gtx-770","tag-spark","tag-task-scheduling"],"views":3152,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/16962","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16962"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/16962\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16962"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16962"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16962"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}