{"id":1731097,"date":"2025-06-17T11:18:32","date_gmt":"2025-06-17T15:18:32","guid":{"rendered":"https:\/\/med.virginia.edu\/faculty\/faculty-listing\/ks7h\/"},"modified":"2025-06-25T15:18:01","modified_gmt":"2025-06-25T19:18:01","slug":"ks7h","status":"publish","type":"faculty-listing","link":"https:\/\/med.virginia.edu\/faculty\/faculty-listing\/ks7h\/","title":{"rendered":"Skadron, Kevin"},"content":{"rendered":"

Dr. Skadron directs the LAVA lab (Laboratory for Computer Architecture at Virginia), and his research focuses on the architecture of processors in the presence of physical constraints, such as power and thermal limits and reliability challenges, and the application of accelerator hardware such as GPUs, FPGAs, and hardware accelerators. He is also Director of the Center for Automata Processing (CAP) and the Center for Research on Intelligent Storage and Processing in Memory (CRISP)<\/p>\n","protected":false},"featured_media":1734443,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_links_to":"","_links_to_target":""},"otheraff":[],"phd-degree":[],"primary":[2358],"research-discipline":[],"research-opportunity":[],"training-grant":[],"class_list":["post-1731097","faculty-listing","type-faculty-listing","status-publish","has-post-thumbnail","hentry","primary-computer-science"],"acf":[],"yoast_head":"\nSkadron, Kevin - Research Faculty Directory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/med.virginia.edu\/faculty\/faculty-listing\/ks7h\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Skadron, Kevin - Research Faculty Directory\" \/>\n<meta property=\"og:description\" content=\"Dr. Skadron directs the LAVA lab (Laboratory for Computer Architecture at Virginia), and his research focuses on the architecture of processors in the presence of physical constraints, such as power and thermal limits and reliability challenges, and the application of accelerator hardware such as GPUs, FPGAs, and hardware accelerators. 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