- 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...
- 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...
-
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...
- The
compiler is
implemented in Java.
Intel 486
Intel Xeon-Phi (auto
parallelising Xeon Phi compile) AMD
Opteron processor, the
Opteron compiler supports...
- 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...
- of the
Guarded Horn
Clauses language by
Kazunori Ueda),
making it a
parallelised Prolog variant.
Comparison of
Prolog implementations Prolog syntax and...
- 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...
-
prefetching (or even DMA) for its
source data. However, it may be
harder to
parallelise since there is no
guarantee the
writes do not interact, and many systems...
-
include adaptive compilation,
machine learning based optimization, auto-
parallelising compilers and
heterogeneous GPGPU multi-core platforms. He is project...
