kohnakagawa

static inline void transpose_4x4(const __m256d& va,
                                 const __m256d& vb,
                                 const __m256d& vc,
                                 const __m256d& vd,
                                 __m256d& vx,
                                 __m256d& vy,
                                 __m256d& vz) {
  const auto tmp0 = _mm256_unpacklo_pd(va, vb);
  const auto tmp1 = _mm256_unpackhi_pd(va, vb);
  const auto tmp2 = _mm256_unpacklo_pd(vc, vd);

kohnakagawa

#![feature(iterator_step_by, cfg_target_feature, target_feature)]

extern crate rand;
use rand::distributions::{IndependentSample, Range};

extern crate stdsimd;
use stdsimd::vendor::*;

use std::time::Instant;

kohnakagawa

#include <stdio.h>

int main() {
  int a = -123;
  int b = 0, c = 0;
  __asm__ volatile("movl %2, %%eax\n\t"
                   "cdq \n\t"
                   "movl %%edx, %0\n\t"
                   "movl %%eax, %1\n\t"
                   :"=r"(b), "=r"(c)

kohnakagawa

global start

section .data
message: db 'Hello World', 0xa, 0
numtable: dq '0123456789abcdef'
buffer: db 'abcdefghi'
length: equ $ - buffer

section .text
start:

kohnakagawa

;; -*- mode: emacs-lisp -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default
   ;; Base distribution to use. This is a layer contained in the directory

kohnakagawa

;; -*- mode: emacs-lisp -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default
   ;; Base distribution to use. This is a layer contained in the directory

kohnakagawa

library(plotly)
library(reshape2)

fname <-  "avx2_vs_gpu.dat"

time.breakdown <- read.table(fname, header = TRUE)
time.breakdown <- cbind(nodes = rownames(time.breakdown), time.breakdown)
colnames(time.breakdown) <- c("device", "other", "comm", "pair", "force")

df <- melt(time.breakdown)

kohnakagawa

library(ggplot2)
library(reshape2)

out.file <- "test.png" # output file name
dat <- read.table("test.dat") # input data
colnames(dat) <- c("Apple", "Orange", "Grape", "Pear") # column names

df <- melt(dat)
print(df)

kohnakagawa

000000000040092c <add_v8df(double __vector const&, double __vector const&)>:
  40092c:	55                   	push   rbp
  40092d:	48 89 e5             	mov    rbp,rsp
  400930:	48 83 ec 60          	sub    rsp,0x60
  400934:	48 89 7d f8          	mov    QWORD PTR [rbp-0x8],rdi
  400938:	48 89 75 a8          	mov    QWORD PTR [rbp-0x58],rsi
  40093c:	48 89 55 b0          	mov    QWORD PTR [rbp-0x50],rdx
  400940:	c7 45 a0 08 00 00 00 	mov    DWORD PTR [rbp-0x60],0x8
  400947:	c7 45 a4 00 00 00 00 	mov    DWORD PTR [rbp-0x5c],0x0
  40094e:	8b 45 a4             	mov    eax,DWORD PTR [rbp-0x5c]

kohnakagawa

#!/bin/bash
convert -font Helvetica -pointsize 60 -gravity south -annotate 0x0-570+525 "(a)" input.jpeg tmp.jpeg
convert -font Helvetica -pointsize 60 -gravity south -annotate 0x0+70+525  "(b)" tmp.jpeg out.jpeg
rm -f tmp.jpeg