EMI engineers are struggling everyday with complex radiation problems that fails critical products to pass EMI certification and causes big loss of profit. Advances in EMI engineering are following a similar trend like Signal-Integrity engineering 10-years ago when tools nowadays became capable of providing accurate predictive simulations in a reasonable amount of time. With careful engineering utilizing cutting-edge full-wave field-solver software: Momentum (MOM) [1], EMpro (FDTD) [2] along with a hardware boost using heterogeneous massive CPU\/GPU parallel processing (CUDA) technology [3], we can move the EMI teams from the back-end black-magic to a successful cost-effective front-end design. This paper presents an innovative process (Virtual-EMI lab) for pre-and post-tape-out providing the designers with an early stage EMI-suppression matrix (on-chip, on-package and on-board enablers) to find the optimum trade-off between performance and cost. It is also observed that trade-off between SI\/PI and EMI is the common signature of nowadays High-speed-Digital design techniques.<\/p>\n","protected":false},"excerpt":{"rendered":"
EMI engineers are struggling everyday with complex radiation problems that fails critical products to pass EMI certification and causes big loss of profit. Advances in EMI engineering are following a similar trend like Signal-Integrity engineering 10-years ago when tools nowadays became capable of providing accurate predictive simulations in a reasonable amount of time. With careful […]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[89,319,3],"tags":[14,1802,323,322,20],"class_list":["post-4505","post","type-post","status-publish","format-standard","hentry","category-nvidia-cuda","category-electrodynamics","category-paper","tag-cuda","tag-electrodynamics","tag-fdtd","tag-finite-difference-time-domain","tag-nvidia"],"views":1873,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4505","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=4505"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4505\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4505"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4505"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}