Section 1: Algorithms<\/p>\n
Design, analysis, and implementation of parallel algorithms in science and engineering, focusing on issues such as<\/p>\n
Scalability and speedup<\/p>\n
Efficient utilization of the memory hierarchy<\/p>\n
Communication and synchronization<\/p>\n
Data Management and Exploration<\/p>\n
Energy Efficiency.<\/p>\n
The parallel computing aspects should be emphasized.<\/p>\n
Section 2: Software and Architectures<\/p>\n
Software engineering for developing and maintaining parallel software, including<\/p>\n
Parallel programming languages, compilers, and environments<\/p>\n
Tools and techniques for generating reliable and efficient parallel code<\/p>\n
Testing and debugging techniques and tools<\/p>\n
Best practices of parallel computing on multicore, manycore, and stream processors<\/p>\n
Software, architectures and operating systems for all types of parallel computers may be considered, including multicores, GPU accelerators, FPGA reconfigurable systems, high-end machines and cloud computing.<\/p>\n
Section 3: Applications<\/p>\n
The application of parallel computing to solve all types of business, industrial, scientific, and engineering problems using high-performance computing technologies, in particular:<\/p>\n
Applications of high-end computers, including exascale<\/p>\n
Applications of multicore \/ manycore processors<\/p>\n
Applications for heterogeneous systems, including FPGAs, GPUs, etc.<\/p>\n
Cloud and Grid computing applications<\/p>\n
Data intensive (Big Data) analytics and applications.<\/p>\n","protected":false},"excerpt":{"rendered":"
Section 1: Algorithms Design, analysis, and implementation of parallel algorithms in science and engineering, focusing on issues such as Scalability and speedup Efficient utilization of the memory hierarchy Communication and synchronization Data Management and Exploration Energy Efficiency. The parallel computing aspects should be emphasized. Section 2: Software and Architectures Software engineering for developing and maintaining […]<\/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":[86],"tags":[],"class_list":["post-13202","post","type-post","status-publish","format-standard","hentry","category-events"],"views":2283,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13202","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=13202"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13202\/revisions"}],"predecessor-version":[{"id":13203,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13202\/revisions\/13203"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}