Question

Numba: vectorize standard SciPy ufunc's and numpy.sum() syntax error

score 922 · Answer 1 · 2015-06-12 10:30:46

922

Views

Numba: vectorize standard SciPy ufunc's and numpy.sum() syntax error

Published on 12 June 2015 at 10:30

score 419 · Answer 2 · 2015-06-19 14:19:52

419

Views

Numba function slower than C++ and loop re-order further slows down x10

Published on 19 June 2015 at 14:19

score 370 · Answer 3 · 2016-12-14 16:56:07

370

Views

How do I speed up profiled NumPy code - vectorizing, Numba?

Published on 14 December 2016 at 16:56

score 45 · Answer 4 · 2016-12-14 17:16:40

45

Views

Numba type changes when indexing

Published on 14 December 2016 at 17:16

score 141 · Answer 5 · 2016-12-30 11:28:33

141

Views

PyDEM LoweringError: slc0.8

Published on 30 December 2016 at 11:28

score 1.1k · Answer 6 · 2017-01-04 15:44:44

1.1k

Views

'DataFlowAnalysis' object has no attribute 'op_MAKE_FUNCTION' in Numba

Published on 04 January 2017 at 15:44

score 223 · Answer 7 · 2017-01-06 23:29:26

223

Views

Numba corrupts data by affecting in-place

Published on 06 January 2017 at 23:29

score 1.5k · Answer 8 · 2017-01-09 23:25:48

1.5k

Views

numba nopython mode "Undefined variable '$313.3'"

Published on 09 January 2017 at 23:25

score 1.7k · Answer 9 · 2014-11-11 21:46:34

1.7k

Views

Analyzing coverage of numba-wrapped functions

Published on 11 November 2014 at 21:46

score 484 · Answer 10 · 2014-11-14 07:04:11

484

Views

Speeding up take with numba?

Published on 14 November 2014 at 07:04

score 1.1k · Answer 11 · 2014-11-16 18:53:52

1.1k

Views

How to speed up multiple inner products in python

Published on 16 November 2014 at 18:53

score 174 · Answer 12 · 2014-11-16 19:01:20

174

Views

Numbapro trying to vectorize a jit'd function

Published on 16 November 2014 at 19:01

score 280 · Answer 13 · 2014-11-19 06:57:38

280

Views

How to make this rounding function faster?

Published on 19 November 2014 at 06:57

score 605 · Answer 14 · 2014-11-28 10:14:49

605

Views

Numbapro cuda python defining array in thread register in gpu

Published on 28 November 2014 at 10:14

score 2.6k · Answer 15 · 2014-11-23 10:26:24

2.6k

Views

Why would using 8 threads be faster than 4 threads on a 4 core Hyper Threaded CPU?

Published on 23 November 2014 at 10:26

score 842 · Answer 16 · 2014-12-02 10:50:57

842

Views

Simplify statement '.'.join( string.split('.')[0:3] )

Published on 02 December 2014 at 10:50

score 3k · Answer 17 · 2013-12-19 10:39:14

3k

Views

Optimizing access on numpy arrays for numba

Published on 19 December 2013 at 10:39

score 2.8k · Answer 18 · 2017-08-28 17:45:04

2.8k

Views

Numba, Jitclass w/ nopython mode and dictionaries

Published on 28 August 2017 at 17:45

score 4.8k · Answer 19 · 2017-08-31 08:22:06

4.8k

Views

speed up function that takes a function as argument with numba

Published on 31 August 2017 at 08:22

score 2.6k · Answer 20 · 2017-09-01 15:07:32

2.6k

Views

Replacement of dict type for numba as parameters of a python function

Published on 01 September 2017 at 15:07

List Question

Numba: vectorize standard SciPy ufunc's and numpy.sum() syntax error

Numba function slower than C++ and loop re-order further slows down x10

How do I speed up profiled NumPy code - vectorizing, Numba?

Numba type changes when indexing

PyDEM LoweringError: slc0.8

'DataFlowAnalysis' object has no attribute 'op_MAKE_FUNCTION' in Numba

Numba corrupts data by affecting in-place

numba nopython mode "Undefined variable '$313.3'"

Analyzing coverage of numba-wrapped functions

Speeding up take with numba?

How to speed up multiple inner products in python

Numbapro trying to vectorize a jit'd function

How to make this rounding function faster?

Numbapro cuda python defining array in thread register in gpu

Why would using 8 threads be faster than 4 threads on a 4 core Hyper Threaded CPU?

Simplify statement '.'.join( string.split('.')[0:3] )

Optimizing access on numpy arrays for numba

Numba, Jitclass w/ nopython mode and dictionaries

speed up function that takes a function as argument with numba

Replacement of dict type for numba as parameters of a python function

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