DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Joo-Young | ko |
dc.contributor.author | Hauck, Scott | ko |
dc.contributor.author | Burger, Doug | ko |
dc.date.accessioned | 2020-10-26T05:55:33Z | - |
dc.date.available | 2020-10-26T05:55:33Z | - |
dc.date.created | 2020-10-12 | - |
dc.date.issued | 2014-05-11 | - |
dc.identifier.citation | 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014, pp.161 - 164 | - |
dc.identifier.uri | http://hdl.handle.net/10203/276986 | - |
dc.description.abstract | Data compression is crucial in large-scale storage servers to save both storage and network bandwidth, but it suffers from high computational cost. In this work, we present a high throughput FPGA based compressor as a PCIe accelerator to achieve CPU resource saving and high power efficiency. The proposed compressor is differentiated from previous hardware compressors by the following features: 1) targeting Xpress9 algorithm, whose compression quality is comparable to the best Gzip implementation (level 9); 2) a scalable multi-engine architecture with various IP blocks to handle algorithmic complexity as well as to achieve high throughput; 3) supporting a heavily multi-threaded server environment with an asynchronous data transfer interface between the host and the accelerator. The implemented Xpress9 compressor on Altera Stratix V GS performs 1.6-2.4Gbps throughput with 7 engines on various compression benchmarks, supporting up to 128 thread contexts. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A scalable multi-engine Xpress9 compressor with asynchronous data transfer | - |
dc.type | Conference | - |
dc.identifier.wosid | 000410585800039 | - |
dc.identifier.scopusid | 2-s2.0-84912528697 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 161 | - |
dc.citation.endingpage | 164 | - |
dc.citation.publicationname | 22nd IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2014 | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Boston | - |
dc.identifier.doi | 10.1109/FCCM.2014.49 | - |
dc.contributor.localauthor | Kim, Joo-Young | - |
dc.contributor.nonIdAuthor | Hauck, Scott | - |
dc.contributor.nonIdAuthor | Burger, Doug | - |
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