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async function reduce(arr, fn) { | |
let tasks = arr.map(item => ({ item })), | |
reqs = [] | |
while (true) { | |
if (tasks.length === 1) { | |
return tasks[0].item | |
} | |
const toRun = tasks.filter(task => !task.started) | |
for (let i = 0; i + 1 < toRun.length; i += 2) { | |
const [a, b] = toRun.slice(i, i + 2) |
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<html> | |
<body> | |
<script crossorigin src="https://unpkg.com/react@16/umd/react.development.js"></script> | |
<script crossorigin src="https://unpkg.com/react-dom@16/umd/react-dom.development.js"></script> | |
<script src="https://unpkg.com/@babel/standalone/babel.min.js"></script> | |
<script src="index.jsx" type="text/babel"></script> | |
</body> | |
</html> |
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cmake_minimum_required(VERSION 3.18) | |
project(binding) | |
if(WIN32) | |
set(CUDA_NVCC_FLAGS -Xcompiler;"/MD /wd 4819") | |
endif() | |
find_package(CUDA REQUIRED) | |
include_directories(${CMAKE_JS_INC} "${CMAKE_SOURCE_DIR}/include") | |
file(GLOB SOURCE_FILES "src/*.cu") | |
cuda_add_library(${PROJECT_NAME} SHARED ${SOURCE_FILES} ${CMAKE_JS_SRC}) | |
set_target_properties(${PROJECT_NAME} PROPERTIES PREFIX "" SUFFIX ".node") |
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const cluster = require('cluster'), | |
os = require('os') | |
class Worker { | |
destroyed = false | |
/** @type { { [id: string]: { id: string, func: Function, args: any[], resolve: Function, reject: Function } } } */ | |
calls = { } | |
/** @type { import('cluster').Worker } */ | |
worker = this.fork() | |
fork() { |
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<html> | |
<body> | |
<style> | |
svg { | |
user-select: none; | |
} | |
svg polygon { | |
fill: chocolate; | |
} | |
svg circle { |
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#include <stdio.h> | |
// Reference: | |
// https://nosferalatu.com/SimpleGPUHashTable.html | |
// replace the function with cuda implement | |
unsigned long atomicCAS(unsigned long *addr, unsigned long comp, unsigned long val) { | |
auto prev = *addr; | |
if (*addr == comp) { | |
*addr = val; |
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nano /etc/sysctl.conf | |
# uncomment the following line | |
# net.ipv4.ip_forward=1 | |
sysctl -p | |
iptables -t nat -A POSTROUTING -o eth0 -j MASQUERADE |
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rem update blas dir and cuda version | |
set BLAS_DIR=D:\Programs\OpenBLAS-0.3.7-x64 | |
set CUDA_PREFIX=cuda100 | |
set OUTPUT_EXE=build\main | |
set MAGMA_DIR=%~dp0\build\magma | |
if not exist %MAGMA_DIR% ( | |
rem using static library precompiled for pytorch | |
rem https://github.com/pytorch/pytorch/blob/master/docs/source/notes/windows.rst |
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sudo apt install docker.io | |
sudo swapoff -a | |
# then edit /etc/fstab and comment out swap | |
# https://stackoverflow.com/questions/23111631/cannot-download-docker-images-behind-a-proxy | |
sudo mkdir /etc/systemd/system/docker.service.d | |
cat > /etc/systemd/system/docker.service.d/http-proxy.conf << EOF | |
[Service] | |
Environment="HTTP_PROXY=http://nuc7.yff.me:8124/" |