{"id":4068,"date":"2022-07-15T16:13:29","date_gmt":"2022-07-15T08:13:29","guid":{"rendered":"https:\/\/inventec2.mjitec.tw\/?page_id=4068"},"modified":"2023-07-18T14:07:26","modified_gmt":"2023-07-18T06:07:26","slug":"tensor-accelerator-with-data-exchange-mesh","status":"publish","type":"page","link":"https:\/\/inventec2.mjitec.tw\/zh-hans\/ai\/tensor-accelerator-with-data-exchange-mesh\/","title":{"rendered":"Tensor Accelerator with Data Exchange Mesh"},"content":{"rendered":"

[vc_row full_width=”stretch_row”][vc_column]

\r\n
<\/div>\t\t\t\r\n\t\t\t<\/div>[vc_row_inner el_class=”md-full-col”][vc_column_inner el_class=”m_p” width=”1\/2″]\n
\n \t
\n \t\t\n\t \n\t

A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads <\/h2>\n\t <\/div><\/div>[vc_column_text css=”.vc_custom_1660543800614{margin-bottom: 20px !important;}”]<\/p>\n
\n

International Conference on Computer Vision 2017 and International Symposium on Circuits and Systems 2021<\/p>\n<\/div>\n

[\/vc_column_text][vc_column_text css=”.vc_custom_1660543807321{margin-bottom: 5px !important;}”]<\/p>\n

\n
\u4f5c\u8005<\/h6>\n<\/div>\n

[\/vc_column_text][vc_column_text css=”.vc_custom_1660543814153{margin-bottom: 20px !important;}”]<\/p>\n

\n

Yu-Sheng Lin, Wei-Chao Chen, Shao-Yi Chien<\/p>\n<\/div>\n

[\/vc_column_text][vc_column_text css=”.vc_custom_1660543820804{margin-bottom: 5px !important;}”]<\/p>\n

\n
\u53d1\u8868\u65e5\u671f<\/h6>\n<\/div>\n

[\/vc_column_text][vc_column_text]<\/p>\n

\n

May-21<\/p>\n<\/div>\n

[\/vc_column_text][\/vc_column_inner][vc_column_inner el_class=”m_p” width=”1\/2″][vc_single_image image=”2520″ img_size=”full”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column]

\r\n
<\/div>\t\t\t\r\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row”][vc_column][vc_row_inner content_placement=”top” css=”.vc_custom_1657794580528{margin-bottom: 20px !important;}”][vc_column_inner el_class=”m_p paragraph_title” width=”1\/3″]\n
\n \t
\n \t\t\n\t \n\t

\u6982\u8981 <\/h2>\n\t <\/div><\/div>[\/vc_column_inner][vc_column_inner el_class=”m_p” width=”2\/3″][vc_column_text]We propose a dense tensor accelerator called VectorMesh, a scalable, memory-efficient architecture that can support a wide variety of DNN and computer vision workloads. Its building block is a tile execution unit (TEU), which includes dozens of processing elements (PEs) and SRAM buffers connected through a butterfly network. A mesh of FIFOs between the TEUs facilitates data exchange between tiles and promote local data to global visibility.<\/p>\n

Our design performs better according to the roofline model for CNN, GEMM, and spatial matching algorithms compared to state-of-the-art architectures. It can reduce global buffer and DRAM fetches by 2-22 times and up to 5 times, respectively.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner content_placement=”middle” el_class=”md-full-col video_wrap”][vc_column_inner el_class=”m_p”][vc_raw_html]JTNDaWZyYW1lJTIwd2lkdGglM0QlMjIxMDI0JTIyJTIwaGVpZ2h0JTNEJTIyODAwJTIyJTIwc3JjJTNEJTIyaHR0cHMlM0ElMkYlMkZ3d3cueW91dHViZS5jb20lMkZlbWJlZCUyRjBSeThpbERwOUlJJTIyJTIwdGl0bGUlM0QlMjJZb3VUdWJlJTIwdmlkZW8lMjBwbGF5ZXIlMjIlMjBmcmFtZWJvcmRlciUzRCUyMjAlMjIlMjBhbGxvdyUzRCUyMmFjY2VsZXJvbWV0ZXIlM0IlMjBhdXRvcGxheSUzQiUyMGNsaXBib2FyZC13cml0ZSUzQiUyMGVuY3J5cHRlZC1tZWRpYSUzQiUyMGd5cm9zY29wZSUzQiUyMHBpY3R1cmUtaW4tcGljdHVyZSUyMiUyMGFsbG93ZnVsbHNjcmVlbiUzRSUzQyUyRmlmcmFtZSUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column]

\r\n
<\/div>\t\t\t\r\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row][vc_column width=”1\/3″ el_class=”m_p keyword_title”][vc_column_text]<\/p>\n

\u5173\u952e\u5b57<\/h2>\n

[\/vc_column_text][\/vc_column][vc_column width=”2\/3″ el_class=”m_p keyword”][vc_row_inner content_placement=”middle”][vc_column_inner width=”1\/3″][vc_raw_html]JTNDdWwlMjBjbGFzcyUzRCUyMnN0eWxlbGlzdGluZyUyMiUzRSUwQSUyMCUwOSUzQ2xpJTIwc3R5bGUlM0QlMjJsaW5lLWhlaWdodCUzQTM0cHglM0IlMjIlM0VETk4lMjBBY2NlbGVyYXRvciUzQyUyRmxpJTNFJTBBJTNDJTJGdWwlM0U=[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_raw_html]JTNDdWwlMjBjbGFzcyUzRCUyMnN0eWxlbGlzdGluZyUyMiUzRSUwQSUzQyUyRnVsJTNF[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=”1\/3″][vc_raw_html]JTNDdWwlMjBjbGFzcyUzRCUyMnN0eWxlbGlzdGluZyUyMiUzRSUwQSUzQyUyRnVsJTNF[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column]

\r\n
<\/div>\t\t\t\r\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row” el_class=”bg” css=”.vc_custom_1657248474326{padding-top: 50px !important;padding-bottom: 50px !important;}”][vc_column][vc_column_text css=”.vc_custom_1660028955880{margin-bottom: 20px !important;}”]<\/p>\n

\u4e0b\u8f7d\u4e0e\u5206\u4eab<\/h3>\n

[\/vc_column_text][vc_row_inner content_placement=”middle”][vc_column_inner el_class=”download_btn_wrap”][vc_btn title=”PDF” style=”flat” color=”white” align=”center” link=”url:https%3A%2F%2Farxiv.org%2Fpdf%2F2111.12885.pdf|target:_blank” el_class=”download_btn”][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row full_width=”stretch_row”][vc_column…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":4976,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4068","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/pages\/4068","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/comments?post=4068"}],"version-history":[{"count":0,"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/pages\/4068\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/pages\/4976"}],"wp:attachment":[{"href":"https:\/\/inventec2.mjitec.tw\/zh-hans\/wp-json\/wp\/v2\/media?parent=4068"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}