Complex physical simulations have driven the need for exascale computing, but reaching exascale will require more power-efficient supercomputers. Heterogenous hardware offers one way to increase efficiency, but is difficult to program and lacks a unifying programming model. Abstracting problems at the level of the domain rather than hardware offers an alternative approach. In this paper we describe the design of Liszt, a domain-specific language for solving partial-differential equations on meshes. There have been many domain-specific languages and frameworks proposed for physical simulation. Liszt is unique in that it targets current and future heterogeneous platforms. We have found that designing a DSL requires a careful balance between features that allow for automatic parallelization, and features that make the language flexible.<\/p>\n","protected":false},"excerpt":{"rendered":"
Complex physical simulations have driven the need for exascale computing, but reaching exascale will require more power-efficient supercomputers. Heterogenous hardware offers one way to increase efficiency, but is difficult to program and lacks a unifying programming model. Abstracting problems at the level of the domain rather than hardware offers an alternative approach. In this paper […]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[11,89,3],"tags":[215,955,1782,14,452,20,298,176,550,551,67,660,378],"class_list":["post-5951","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-code-generation","tag-compilers","tag-computer-science","tag-cuda","tag-heterogeneous-systems","tag-nvidia","tag-optimization","tag-package","tag-partial-differential-equations","tag-pdes","tag-performance","tag-programming-languages","tag-tesla-c2050"],"views":2274,"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5951","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=5951"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5951\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}