{"id":57,"date":"2022-04-28T15:44:12","date_gmt":"2022-04-28T07:44:12","guid":{"rendered":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/?page_id=57"},"modified":"2025-10-16T22:07:40","modified_gmt":"2025-10-16T14:07:40","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/research\/","title":{"rendered":"Research Projects"},"content":{"rendered":"\n

We work on the efficient (i.e., low power and energy) and high performance (i.e., real-time) computing which integrates computer architecture, digital circuit design, and AI neural networks.<\/em><\/strong><\/p>\n\n\n\n

Research Topics: <\/span><\/strong><\/h2>\n\n\n\n

Embedded AI Systems<\/strong>: Hardware-aware model compression, perception-driven scheduling, and cross-layer optimization for embedded machine learning applications. (\ud83d\udd17Link Button<\/a>)<\/p>\n\n\n\n

LLM-Driven Embedded and Hardware Coding<\/strong>: LLM for GPU CUDA Programming. (\ud83d\udd17Link Button<\/a>)<\/p>\n\n\n\n

Real-Time Computing on GPU\/FPGA Heterogeneous Architectures:<\/strong> System-level modeling, timing analysis, and scheduling frameworks to guarantee performance predictability in complex GPU\/FPGA computing environments. (\ud83d\udd17Link Button<\/a>)<\/p>\n\n\n\n

FPGA\/ASIC-based AI Accelerator Design<\/strong>: Design of customized accelerators and systolic arrays for deep neural networks, sparse computations, and sensor fusion tasks. (\ud83d\udd17Link Button<\/a>)<\/p>\n\n\n\n

PDN and Low-Power Processor Design: <\/strong>Power delivery network design and reinforcement learning\u2013based runtime management for energy efficiency. (\ud83d\udd17Link Button<\/a>)
<\/p>\n","protected":false},"excerpt":{"rendered":"

We work on the efficient (i.e., low power and energy) and high performance (i.e., real-time) computing which integrates computer architecture, digital circuit design, and AI neural networks. Research Topics: Embedded AI Systems: Hardware-aware model compression, perception-driven scheduling, and cross-layer optimization for embedded machine learning applications. (\ud83d\udd17Link Button) LLM-Driven Embedded and Hardware Coding: LLM for GPU CUDA […]<\/p>\n","protected":false},"author":42,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-57","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/pages\/57","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/users\/42"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/comments?post=57"}],"version-history":[{"count":52,"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/pages\/57\/revisions"}],"predecessor-version":[{"id":695,"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/pages\/57\/revisions\/695"}],"wp:attachment":[{"href":"https:\/\/sites.gc.sjtu.edu.cn\/zouan\/wp-json\/wp\/v2\/media?parent=57"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}