Trustworthy Mandelbrot
Mathematically proven images:
white
 100% exterior
black
 100% interior
otherwise
 not yet determined (zone of unknown)
1 References
Images of Julia sets that you can trust. Luiz Henrique de Figueiredo, Diego Nehab, Jorge Stolfi, João Batista S. de Oliveira. 2013. http://webdoc.sub.gwdg.de/ebook/serien/e/IMPA_A/721.pdf
Rigorous bounds for polynomial Julia sets. Luiz Henrique de Figueiredo, Diego Nehab, Jorge Stolfi, João Batista S. de Oliveira. Journal of Computational Dynamics, 2016, 3(2): 113137. doi: 10.3934/jcd.2016006
2 Algorithm
The Julia set algorithm works by interval arithmetic and cell mapping graph traversals.
The Mandelbrot set algorithm works by classifying Julia sets: if the critical point 0+0i is exterior/interior to the filled Julia set for the interval of the pixel, then the interval is exterior/interior to the Mandelbrot set.
2.1 Optimisations
 bitpacked quad tree saves memory (to be investigated if it saves/costs time vs bytepacked quad tree)
 storing edges as pairs of node ids in two sorted arrays (for binary search) saves memory compared to pointers and linked lists
 when constructing the graph, use one unique node for all exterior targets
 speculatively allocate a large graph and fill it in one pass, giving up on overflow, instead of calculaing size first in another pass
 uint24 for node ids in edge arrays is too slow, uint32 is less frugal spacewise but much faster

glibc
qsort()
may allocate up to 1/4 of physical memory, which is highly undesirable when there are many threads 
naivelyimplemented binary mostsignificantdigit radix sort with uint32 keys
is very competitive timewise with glibc
qsort()
 each thread allocates all its memory upfront, and manages it internally (memory allocation/deallocation mostly follows a stack pattern, the remainder can be solved by moving the top item(s) to another stack at the other end of memory)
 store Julia sets (compressed) on OOM, to avoid having to recalculate when the concurrency is reduced and more memory is available per thread
3 Images
4 Data
4.1 Dump
0 / 1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9 / 10 / 11
This represents about 5 days of computation (wallclock time; mostly with 16 threads active) on an AMD 2700X CPU with 32GB RAM.
4.2 Format
File format:

ASCII header contains
 magic data format identifying string
 complex interval that the image represents (currently always [2.75,1.25]+[2,2]i)

number of branch nodes in the quad tree,
from which the number of size bits for branch nodes is determined
(see
TREE_size_size_for_tree_size()
intree.h
, it would be better for archival if the actually used size size were stored in the file directly)  indication that binary data follows

header terminated by
\n\f
(new line followed by form feed)

uncompressed bitpacked binary quad tree follows

sequence of 8bit bytes, bits in little endian order in each byte

last byte may have unused trailing bits with arbitrary values

2 bits per node
 00 red (zone of unknown)
 01 black (100% interior)
 10 white (100% exterior)
 11 branch (size in units of 2 bits in even number of following bits)

following a branch node and its size, the 4 quadrants follow in order (bottom left, bottom right, top left, top right)

last two nodes of tree are unused (set to black) when the interval is symmetric about the real axis (redundancy elimination)

5 Area
Download the data for the plot.
Level 11’s proven bounds on the area of the Mandelbrot set:
\[1.416492462158203125 \le \text{area}(\mathcal{M}) \le 1.84781646728515625\]
6 Source
code.mathr.co.uk/fractalbits (subdirectory mandelbrottrustworthy
)
git clone https://code.mathr.co.uk/fractalbits.git
cd fractalbits/mandelbrottrustworthy
Source code dependencies: