Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring compression techniques for ROOT IO   ROOT provides an flexible format used throughout the HEP community. The
number of use cases - from an archival data format to end-stage analysis - has
required a number of tradeoffs to be exposed to the user. For example, a high
"compression level" in the traditional DEFLATE algorithm will result in a
smaller file (saving disk space) at the cost of slower decompression (costing
CPU time when read). At the scale of the LHC experiment, poor design choices
can result in terabytes of wasted space or wasted CPU time. We explore and
attempt to quantify some of these tradeoffs. Specifically, we explore: the use
of alternate compressing algorithms to optimize for read performance; an
alternate method of compressing individual events to allow efficient random
access; and a new approach to whole-file compression. Quantitative results are
given, as well as guidance on how to make compression decisions for different
use cases.

15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
18
The categories of this paper are: econ
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int