The use of domain-specific languages (DSL) is a promising approach to helping programmers write an efficient program for high-performance computing. The programmers would feel difficulties in writing such a program by hand with only low-level abstractions, such as arrays and loops, provided by a general-purpose language. This chapter presents our new implementation technique for domainspecific languages. Since existing techniques are not satisfactory, we developed our technique called deep reification. This chapter also presents Bytespresso, which is our prototype system to use deep reification. Several Java-embedded DSLs implemented with Bytespresso are presented to assess the effectiveness of deep reification and Bytespresso. Program fragments written in these DSLs are embedded in Java but they are dynamically offloaded to native hardware to obtain good execution performance. Since they are embedded in Java, the syntax of Java is reused by those DSLs and hence the development costs of these DSLs are reduced.<\/p>\n","protected":false},"excerpt":{"rendered":"
The use of domain-specific languages (DSL) is a promising approach to helping programmers write an efficient program for high-performance computing. The programmers would feel difficulties in writing such a program by hand with only low-level abstractions, such as arrays and loops, provided by a general-purpose language. This chapter presents our new implementation technique for domainspecific […]<\/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":[1782,14,1651,95,946,20,176],"class_list":["post-18922","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-dsl","tag-high-level-languages","tag-java","tag-nvidia","tag-package"],"views":4619,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/18922","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=18922"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/18922\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18922"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18922"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18922"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}