Demo Data from EDBT 2026 / reviewers in the wild / expert
Haijiang Ye
dblp:126/3566
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Reconfigurable computing and FPGAs · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Reconfigurable computing and FPGAs › FPGA configuration
configuration compression |
0.2 | 1 | 2013 | FPGA bitstream compression and decompression using LZ and golomb coding (abstract only) · FPGA 2013 |
Reconfigurable computing and FPGAs
FPGA configuration |
0.2 | 1 | 2013 | FPGA bitstream compression and decompression using LZ and golomb coding (abstract only) · FPGA 2013 |
Methods — techniques the papers use, named apart from their topics
golomb coding · 0.2RLE · 0.2LZ coding · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | FPGA bitstream compression and decompression using LZ and golomb coding (abstract only)abstractIn this paper we propose an optimized bitstream compression algorithm based on LZ and a novel architecture of decompressor, the proposed algorithm improves the Compression Ratio by fully utilizing the regularity of configuration bits of CLB (Configurable Logic Box) in FPGA and using the variable length Golomb coding method. The experimental results show that the Optimized method can improve the Compression Ratio of LZSS by 32.3% for bitstream with high regularity and 10.3% for bitstream with low regularity, and our approach shows a higher flexibility than the BMC+RLE arithmetic when compressing the bitstream with high regularity for various FPGA. Moreover, we design a two-buffer-window decompressor to download the compressed bitstreams. In order to increase the throughput of the proposed decompressor, we design a multi-stage data selector in it. The post-simulation of the decompressor shows that its throughput is up to 9280 Mbps under 65nm CMOS process. And that is 4352Mbps when verified on a Virtex-5 FPGA. Jinsong Mao, Hao Zhou 0008, Haijiang Ye, Jinmei Lai 0001 |
FPGA | 3 |