{"id":166686,"date":"2014-05-11T00:00:00","date_gmt":"2014-05-11T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/a-scalable-multi-engine-xpress9-compressor-with-asynchronous-data-transfer\/"},"modified":"2018-10-16T20:43:01","modified_gmt":"2018-10-17T03:43:01","slug":"a-scalable-multi-engine-xpress9-compressor-with-asynchronous-data-transfer","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-scalable-multi-engine-xpress9-compressor-with-asynchronous-data-transfer\/","title":{"rendered":"A Scalable Multi-engine Xpress9 Compressor with Asynchronous Data Transfer"},"content":{"rendered":"
\n

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:<\/p>\n

    \n
  1. Targeting Xpress9 algorithm, whose compression quality is comparable to the best Gzip implementation (level 9);<\/li>\n
  2. A scalable multi-engine architecture with various IP blocks to handle algorithmic complexity as well as to achieve high throughput;<\/li>\n
  3. Supporting a heavily multi-threaded server environment with an asynchronous data transfer interface between the host and the accelerator.<\/li>\n<\/ol>\n

    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.<\/p>\n<\/div>\n

    <\/p>\n","protected":false},"excerpt":{"rendered":"

    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 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