The HEART symposium is an international forum on state-of-the-art research in high-performance and power-efficient computing using accelerator technologies such as FPGAs, GPGPUs, and\/or specialized accelerators.<\/p>\n
The scope of the meeting includes, but is not limited to:<\/p>\n
Architectures and systems:
\n Novel systems\/platforms for efficient acceleration based on FPGA, GPU, and other devices
\n Heterogeneous processor architectures and systems for scalable, high-performance, high-reliability, and\/or low-power computation
\n Reconfigurable and configurable hardware and systems including IP-cores, embedded systems, SoCs, and cluster\/grid\/cloud computing systems for scalable, high-performance and\/or low-power processing
\n Custom computing system for domain-specific applications such as Big-data, multimedia, bioinformatics, cryptography, and more
\n Novel architectures and device technologies that can be applied to efficient acceleration, including many-core\/NoC architectures, 3D-stacking technologies and optical devices<\/p>\n
Software and applications:
\n Novel applications of high-performance computing and Big-data processing with efficientacceleration and custom computing
\n System software, compilers and programming languages for efficient accelerationsystems \/ platforms, including many-core processors, GPUs, FPGAs and otherreconfigurable \/custom processors
\n Run-time techniques for acceleration, including Just-in-Time compilation and dynamicpartial-reconfiguration
\n Performance evaluation and analysis for efficient acceleration
\n High-level synthesis and design methodologies for heterogeneous, reconfigurable and\/orcustom processors\/systems<\/p>\n","protected":false},"excerpt":{"rendered":"
The HEART symposium is an international forum on state-of-the-art research in high-performance and power-efficient computing using accelerator technologies such as FPGAs, GPGPUs, and\/or specialized accelerators. The scope of the meeting includes, but is not limited to: Architectures and systems: Novel systems\/platforms for efficient acceleration based on FPGA, GPU, and other devices Heterogeneous processor architectures and […]<\/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-10428","post","type-post","status-publish","format-standard","hentry","category-events"],"views":4381,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10428","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=10428"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10428\/revisions"}],"predecessor-version":[{"id":10429,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10428\/revisions\/10429"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10428"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10428"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}