- edges),
performance is a key factor. One
option of
improving it is by
parallelising known MST algorithms. This
algorithm utilises the cut-property of MSTs...
- via the
llvmlite Python package. It
offers a
range of
options for
parallelising Python code for CPUs and GPUs,
often with only
minor code changes. Numba...
-
powerful than its predecessor. The GPU was
identical to the original. In
parallelised benchmarks, the
Raspberry Pi 2 V1.1
could be up to 14
times faster than...
- of the
Guarded Horn
Clauses language by
Kazunori Ueda),
making it a
parallelised Prolog variant.
Comparison of
Prolog implementations Prolog syntax and...
-
parallelized repeated penalized regression"
implements an alternate,
parallelised "2D"
tuning method of the ℓ parameters, a
method claimed to
result in...
- game
where the team
could have more control.
Their main
effort was in "
parallelising the
rendering system to take
advantage of
multiple CPU cores", with...
- and so on.
Basic operations like insertion,
removal or
update can be
parallelised by
defining operations that
process bulks of
multiple elements. It is...
- this is
often slower than the
above method where the nand/and can be
parallelised): ( 0 ≤ i ≤ 15): F := D xor (B and (C xor D)) (16 ≤ i ≤ 31): F := C xor...
- make
better use of
hardware resources. The
second example is that of
parallelising a for loop: for (i = 0; i < count; i++) { results[i] = do_work(data...
-
design of
hardware and microcode, this
property can be
exploited to
parallelise operations that use
different areas of the CPU; for example, in the case...
