On Thursday, 3 December 2020 at 16:27:59 UTC, 9il wrote:
Hi all,
Since the first announcement [0] the original benchmark [1] has
been boosted [2] with Mir-like implementations.
... [SNIP]
Kind regards,
Ilya
Very interesting work. What is the difference between Mir's
field, slice, native
On Thursday, 3 December 2020 at 20:25:11 UTC, data pulverizer
wrote:
[snip]
Very interesting work. What is the difference between Mir's
field, slice, native and ndslice? [...]
The document says:
Slice: Python like. Uses D Slices and Strides for grouping
(Red-Black).
Naive: one
On Thursday, 3 December 2020 at 16:27:59 UTC, 9il wrote:
Hi all,
Since the first announcement [0] the original benchmark [1] has
been boosted [2] with Mir-like implementations.
D+Mir:
1. is more abstract than NumPy
2. requires less code for multidimensional algorithms
3. doesn't require
Hi all,
Since the first announcement [0] the original benchmark [1] has
been boosted [2] with Mir-like implementations.
D+Mir:
1. is more abstract than NumPy
2. requires less code for multidimensional algorithms
3. doesn't require indexing
4. uses recursion across dimensions
5. a few
On Thursday, 3 December 2020 at 16:27:59 UTC, 9il wrote:
Hi all,
Since the first announcement [0] the original benchmark [1] has
been boosted [2] with Mir-like implementations.
D+Mir:
1. is more abstract than NumPy
2. requires less code for multidimensional algorithms
3. doesn't require
On Thursday, 3 December 2020 at 21:28:04 UTC, jmh530 wrote:
On Thursday, 3 December 2020 at 20:25:11 UTC, data pulverizer
wrote:
[snip]
Very interesting work. What is the difference between Mir's
field, slice, native and ndslice? [...]
The document says:
Slice: Python like. Uses D
On Thursday, 3 December 2020 at 21:28:04 UTC, jmh530 wrote:
The document says:
Slice: Python like. Uses D Slices and Strides for grouping
(Red-Black).
Naive: one for-loop for each dimension. Matrix-Access via
multi-dimensional Array.
Field: one for-loop. Matrix is flattened. Access
On Thursday, 3 December 2020 at 21:28:04 UTC, jmh530 wrote:
The document says:
Slice: Python like. Uses D Slices and Strides for grouping
(Red-Black).
Naive: one for-loop for each dimension. Matrix-Access via
multi-dimensional Array.
Field: one for-loop. Matrix is flattened. Access
On 12/3/2020 8:27 AM, 9il wrote:
Since the first announcement [0] the original benchmark [1] has been boosted [2]
with Mir-like implementations.
This is really great! Can you write an article about it? Such would be really
helpful in letting people know about it.
