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document
Chen, Jianyu (author), Daverveldt, Maurice (author), Al-Ars, Z. (author)
With the continued increase in the amount of big data generated and stored in various application domains, such as high-frequency trading, compression techniques are becoming ever more important to reduce the requirements on communication bandwidth and storage capacity. Zstandard (Zstd) is emerging as an important compression algorithm for big...
conference paper 2021
document
Fang, J. (author), Chen, Jianyu (author), Al-Ars, Z. (author), Hofstee, H.P. (author), Hidders, Jan (author)
While in-memory databases have largely removed I/O as a bottleneck for database operations, loading the data from storage into memory remains a significant limiter to end-to end performance. Snappy is a widely used compression algorithm in the Hadoop ecosystem and in database systems and is an option in often-used file formats such as Parquet...
conference paper 2018
document
Chen, Jianyu (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
In this paper, we present the design in reconfigurable logic of a matrix multiplier for matrices of 32-bit posit numbers with es=2 [1]. Vector dot products are computed without intermediate rounding as suggested by the proposed posit standard to maximally retain precision. An initial implementation targets the CAPI 1.0 interface on the POWER8...
conference paper 2018