{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T15:50:12Z","timestamp":1769010612428,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,6,18]],"date-time":"2017-06-18T00:00:00Z","timestamp":1497744000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CCF-1029783"],"award-info":[{"award-number":["CCF-1029783"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["Design Forward,Design Forward-2"],"award-info":[{"award-number":["Design Forward,Design Forward-2"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,6,18]]},"DOI":"10.1145\/3061639.3062212","type":"proceedings-article","created":{"date-parts":[[2017,6,13]],"date-time":"2017-06-13T12:18:42Z","timestamp":1497356322000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":24,"title":["Compiler Techniques to Reduce the Synchronization Overhead of GPU Redundant Multithreading"],"prefix":"10.1145","author":[{"given":"Manish","family":"Gupta","sequence":"first","affiliation":[{"name":"CSE Dept., University of California San Diego"}]},{"given":"Daniel","family":"Lowell","sequence":"additional","affiliation":[{"name":"AMD Research, Advanced Micro Devices, Inc."}]},{"given":"John","family":"Kalamatianos","sequence":"additional","affiliation":[{"name":"AMD Research, Advanced Micro Devices, Inc."}]},{"given":"Steven","family":"Raasch","sequence":"additional","affiliation":[{"name":"AMD Research, Advanced Micro Devices, Inc."}]},{"given":"Vilas","family":"Sridharan","sequence":"additional","affiliation":[{"name":"RAS Architecture, Advanced Micro Devices, Inc."}]},{"given":"Dean","family":"Tullsen","sequence":"additional","affiliation":[{"name":"CSE Dept., University of California San Diego"}]},{"given":"Rajesh","family":"Gupta","sequence":"additional","affiliation":[{"name":"CSE Dept., University of California San Diego"}]}],"member":"320","published-online":{"date-parts":[[2017,6,18]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"AMD CodeXL gpuopen.com\/compute-product\/codexl.  AMD CodeXL gpuopen.com\/compute-product\/codexl."},{"key":"e_1_3_2_1_2_1","unstructured":"HCC https:\/\/github.com\/RadeonOpenCompute\/hcc.  HCC https:\/\/github.com\/RadeonOpenCompute\/hcc."},{"key":"e_1_3_2_1_3_1","unstructured":"HSA http:\/\/www.hsafoundation.com\/standards.  HSA http:\/\/www.hsafoundation.com\/standards."},{"key":"e_1_3_2_1_4_1","unstructured":"HSA Kernel Driver https:\/\/github.com\/HSAFoundation\/HSA-Drivers-Linux-AMD.  HSA Kernel Driver https:\/\/github.com\/HSAFoundation\/HSA-Drivers-Linux-AMD."},{"key":"e_1_3_2_1_5_1","unstructured":"HSA Runtime https:\/\/github.com\/HSAFoundation\/HSA-Runtime-AMD.  HSA Runtime https:\/\/github.com\/HSAFoundation\/HSA-Runtime-AMD."},{"key":"e_1_3_2_1_6_1","unstructured":"AMD. A beginner's guide to computational computing on the amd embedded g-series apu with opencl. White Paper.  AMD. A beginner's guide to computational computing on the amd embedded g-series apu with opencl. White Paper."},{"key":"e_1_3_2_1_7_1","unstructured":"AMD. Graphics Core Next Architecture Generation 3.  AMD. Graphics Core Next Architecture Generation 3."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1177\/1094342009347767"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2898054"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/956417.956571"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463209.2488857"},{"key":"e_1_3_2_1_12_1","unstructured":"M. Heroux etal ASC Co-design Proxy App Strategy. 2016.  M. Heroux et al. ASC Co-design Proxy App Strategy. 2016."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/DATE.2005.98"},{"key":"e_1_3_2_1_14_1","volume-title":"SELSE","author":"Kalra C.","year":"2015"},{"key":"e_1_3_2_1_15_1","volume-title":"DSN","year":"2002"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2897980"},{"key":"e_1_3_2_1_17_1","volume":"200","author":"Michalak S. E.","journal-title":"IEEE Transactions"},{"key":"e_1_3_2_1_18_1","unstructured":"D. Mor. GPGPU for Embedded Systems. White Paper.  D. Mor. GPGPU for Embedded Systems. White Paper."},{"key":"e_1_3_2_1_19_1","unstructured":"NVIDIA. https:\/\/blogs.nvidia.com\/blog\/2016\/08\/22\/parker-for-self-driving-cars. 2016.  NVIDIA. https:\/\/blogs.nvidia.com\/blog\/2016\/08\/22\/parker-for-self-driving-cars. 2016."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/JRPROC.1961.287814"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/339647.339652"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2005.34"},{"key":"e_1_3_2_1_23_1","unstructured":"B. Sander. AMD gcn assembly: Cross-lane operations. 2016.  B. Sander. AMD gcn assembly: Cross-lane operations. 2016."},{"key":"e_1_3_2_1_24_1","unstructured":"M. Schott. NVIDIA reading between the threads. 2016.  M. Schott. NVIDIA reading between the threads. 2016."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/647883.738394"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2008.62"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1037187.1024420"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/545214.545226"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2678373.2665686"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2007.7"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2259016.2259035"}],"event":{"name":"DAC '17: The 54th Annual Design Automation Conference 2017","location":"Austin TX USA","acronym":"DAC '17","sponsor":["EDAC Electronic Design Automation Consortium","SIGDA ACM Special Interest Group on Design Automation","IEEE-CEDA","SIGBED ACM Special Interest Group on Embedded Systems"]},"container-title":["Proceedings of the 54th Annual Design Automation Conference 2017"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3061639.3062212","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3061639.3062212","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3061639.3062212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:36:34Z","timestamp":1750217794000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3061639.3062212"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,18]]},"references-count":31,"alternative-id":["10.1145\/3061639.3062212","10.1145\/3061639"],"URL":"https:\/\/doi.org\/10.1145\/3061639.3062212","relation":{},"subject":[],"published":{"date-parts":[[2017,6,18]]},"assertion":[{"value":"2017-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}