Usage   Performance


About the Performance category (1)
Avoiding memory allocation for vector operations (8)
Allocations in construction of composite type with StaticArray field (3)
Performance regression with indexing a `reinterpret`ed array in v0.7 (3)
Efficient finite difference operators (11)
Save memory of a translational symmetric matrix (2)
Binary data reader 200x+ slower on 0.7 (9)
CuArrays and garbage collection when doing FFT convolutions (2)
@inbounds: is the compiler now so smart that this is no longer necessary? ( 2 ) (34)
Generate functions inside a function from string ( 2 ) (36)
Default sin / cos functions do not scale on multithreading (20)
Julia Markdown: Error converting document to pdf. Try running latex manually (2)
Poor performance on cluster multithreading ( 2 3 ) (41)
Slowdown of Distributions.jl on 0.7? (9)
Getting data directly from a website (10)
optimising for loop performance (15)
How to change date format and keep the type of variable? (7)
Optimising function with const instead of struct? (10)
OpenBLAS is faster than Intel MKL on AMD Hardware (Ryzen) (12)
How to set gap between multiple scatter plot - Plotly (3)
Why isn't pmap faster than map in this example? (9)
Question about Multi-threading Performance (4)
Looping over different types with common behavior (10)
Parallel computing on a subset of an array (13)
Performance discrepancy in sparse matrix product (5)
Saving values from GPU during Euler stepping in ODE ( 2 ) (24)
dot syntax in pyjulia (5)
This should be documented in performance tips if not a temporary bug (20)
@fastmath switched off in Julia 0.7-Dev, deliberately? (8)
Findmax on ranges (4)