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ringbuffers

A ring buffer, also known as a circular buffer, is a fixed-size data structure that uses a contiguous block of memory as if it were arranged in a circle. It is designed for efficient, low-latency data transfer between producers and consumers without dynamic memory allocation. The buffer’s constant size makes it predictable in worst-case latency and memory usage.

The structure typically maintains two indices: a head for reading and a tail for writing. Elements are

Operations are simple: enqueue writes at the current tail position and advances the tail; dequeue reads from

Concurrency considerations vary by use case. In single-producer, single-consumer scenarios, non-atomic indices suffice and straightforward synchronization

Common uses include streaming I/O, audio processing, inter-thread communication, network buffering, and event logging. Benefits include

written
at
the
tail
and
read
from
the
head.
When
either
index
reaches
the
end
of
the
block,
it
wraps
around
to
the
beginning.
To
distinguish
full
from
empty,
implementations
commonly
reserve
one
slot
and
treat
the
buffer
as
full
when
(tail
+
1)
mod
capacity
equals
head,
or
they
keep
an
explicit
count
of
elements.
the
current
head
position
and
advances
the
head.
The
buffer
is
empty
when
head
equals
tail,
and
full
when
advancing
the
tail
would
collide
with
the
head.
Some
designs
allow
an
overwrite
policy,
where
new
data
overwrites
the
oldest
data
on
overflow,
while
others
signal
overflow
to
the
producer.
is
often
unnecessary.
In
multi-producer
or
multi-consumer
contexts,
careful
synchronization
or
lock-free
algorithms
using
atomic
operations
and
memory
barriers
are
required
to
prevent
data
races
and
ensure
visibility
across
threads
or
cores.
a
bounded
memory
footprint,
constant-time
operations,
and
cache-friendly
access
patterns.
Drawbacks
include
a
fixed
capacity
that
can
lead
to
overflow
or
data
loss
if
not
managed,
and
increased
complexity
when
supporting
concurrent
access.
Variants
may
optimize
for
power-of-two
capacities
or
provide
explicit
element
counts
to
simplify
full/empty
checks.