Filters approximately store a set of items while trading off accuracy for space-efficiency and
can address the limited memory on accelerators, such as GPUs. However, there is a lack of …

In this paper, we present our GPU implementation of the quotient filter, a compact data
structure designed to implement approximate membership queries. The quotient filter is …

Data management on GPUs has become increasingly relevant due to a tremendous rise in
processing power and available GPU memory. Similar to main-memory systems, there is a …

Bloom filters are a probabilistic technique for large-scale set membership tests. They exhibit
no false negative test results but are susceptible to false positive results. They are well …

Nowadays, almost all network traffic is encrypted. Attackers hide themselves using this traffic
and attack over encrypted channels. Inspections performed only on packet headers and …

There has been rapid growth in the field of graphical processing unit (GPU) programming
due to the drastic increase in the computing hardware manufacturing. The technology used …

Key-value storage systems based on LSM-tree exhibit superior write performance, making
them a popular choice as the underlying storage engine for various Internet applications …

Recently, as machine learning algorithms have become more practical, there has been
much effort to implement them on edge devices that can be used in our daily lives. However …

We present the first hardware design that supports operations over the Fano–Elias encoding
(FE-encoding). Our design is a combinational circuit (ie, single clock cycle) that supports …

Traditional filter data structures, such as Bloom filters, do not offer necessary features that
modern high-performance data analytics applications need in order to efficiently perform …