{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:51:25Z","timestamp":1750308685341,"version":"3.41.0"},"reference-count":12,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2013,12,18]],"date-time":"2013-12-18T00:00:00Z","timestamp":1387324800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGARCH Comput. Archit. News"],"published-print":{"date-parts":[[2013,12,18]]},"abstract":"<jats:p>Processing large volumes of information in real time requires large amounts of computational power, which consumes a significant amount of energy. With the rise in the amount of data produced, energy-efficient high-performance information processing systems are becoming a necessity. We present a hybrid CPU-FPGA system for high-throughput classification of streams of textual documents (e.g. emails or web pages). The current system parses the document stream using a multicore CPU and performs classification on the parsed stream using Field-Programmable Gate Arrays (FPGAs). As an example, we demonstrate a Naive Bayes classifier on the TREC Aquaint dataset. Our current solution can classify 10Gb\/s internet traffic in real time. Our aim is to increase the throughput to 100Gb\/s by incorporating the parser into the FPGA design.<\/jats:p>","DOI":"10.1145\/2641361.2641370","type":"journal-article","created":{"date-parts":[[2014,7,7]],"date-time":"2014-07-07T11:55:18Z","timestamp":1404734118000},"page":"53-58","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A hybrid CPU-FPGA system for high throughput (10Gb\/s) streaming document classification"],"prefix":"10.1145","volume":"41","author":[{"given":"Wim","family":"Vanderbauwhede","sequence":"first","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anton","family":"Frolov","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sai Rahul","family":"Chalamalasetti","sequence":"additional","affiliation":[{"name":"Hewlett Packard, Houston, TX"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Margala","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, Lowell, MA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,6,18]]},"reference":[{"volume-title":"University of California","year":"2011","author":"Short J.","key":"e_1_2_1_1_1"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/1643608"},{"volume-title":"Convery Computers","year":"2011","key":"e_1_2_1_3_1"},{"volume-title":"Stone Ridge Technology","year":"2009","author":"Coyne J.","key":"e_1_2_1_4_1"},{"volume-title":"XtremeData","year":"2008","author":"Wood N. 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