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kose-y / merge-sort.jl
Created August 7, 2020 01:48
CUDA merge sort with Julia
using CUDA
function gpu_bottomUpMerge!(source, dest, first, middle, last)
i = first
j = middle
for k = first:last
if i < middle && (j > last || source[i] < source[j])
dest[k] = source[i]
i += 1
else
dest[k] = source[j]
@kose-y
kose-y / bitonic-sort.jl
Created August 7, 2020 01:46
CUDA bitonic sort with Julia
# Code based on: https://discourse.julialang.org/t/gpu-sort-wip-gpu-1000x-faster-than-cpu-i-must-be-doing-something-wrong/20310/4
# bitonic sorts a vector of any length.
using CUDA
function bisort!(shared, j, k)
tid = UInt(((blockIdx().x - 1) * blockDim().x + threadIdx().x)-1)
ixj = tid⊻UInt(j)
if ixj > tid
if (tid & k) == 0
if shared[tid+1] > shared[ixj+1]
tmp = shared[ixj+1]
@kose-y
kose-y / jupyterhub
Created February 13, 2017 14:02
Jupyterhub init.d script. Put this script in /etc/init.d
#!/bin/sh
### BEGIN INIT INFO
# Provides:
# Required-Start: $remote_fs $syslog
# Required-Stop: $remote_fs $syslog
# Default-Start: 2 3 4 5
# Default-Stop: 0 1 6
# Short-Description: Start daemon at boot time
# Description: Enable service provided by daemon.
### END INIT INFO
@kose-y
kose-y / cholupdate.py
Created May 5, 2016 13:44 — forked from mattjj/cholupdate.py
cholesky updates and downdates
from __future__ import division
import numpy as np
from numpy.random import randn
from scipy.linalg.blas import drot, drotg
# references for updates:
# - Golub and van Loan (4th ed.) Section 6.5.4
# - http://mathoverflow.net/questions/30162/is-there-a-way-to-simplify-block-cholesky-decomposition-if-you-already-have-deco
#
# references for downdates:
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@kose-y
kose-y / springer-free-maths-books.md
Created December 29, 2015 16:43 — forked from bishboria/springer-free-maths-books.md
Springer have made a bunch of books available for free, here are the direct links