代码搜索：Parallel
找到约 6,530 项符合「Parallel」的源代码
代码结果 6,530
www.eeworm.com/read/179911/5295158
c frpw.c
/*
frpw.c (c) 1996-8 Grant R. Guenther
Under the terms of the GNU public license
frpw.c is a low-level protocol driver for the Freecom "Power"
parallel port IDE
www.eeworm.com/read/179911/5295415
c probe.c
/* $Id: parport_probe.c,v 1.1 1999/07/03 08:56:17 davem Exp $
* Parallel port device probing code
*
* Authors: Carsten Gross, carsten@sol.wohnheim.uni-ulm.de
* Philip Blundell
www.eeworm.com/read/179911/5298306
h ppdev.h
/*
* linux/drivers/char/ppdev.h
*
* User-space parallel port device driver (header file).
*
* Copyright (C) 1998-9 Tim Waugh
*
* This program is free software; you ca
www.eeworm.com/read/169681/5415780
makefile
# Makefile - makefile for bsp/src/drv/parallel
#
# modification history
# --------------------
# 01d,12mar02,dat SPR 72518 Drivers docs in separate directory
# 01c,12oct01,tam added repackaging supp
www.eeworm.com/read/169681/5415882
makefile
# Makefile - makefile for bsp/src/drv/parallel
#
# modification history
# --------------------
# 01c,12mar02,dat SPR 72518 Drivers docs in separate directory
# 01b,12oct01,tam added repackaging supp
www.eeworm.com/read/162614/5526185
f pr24823.f
! { dg-do compile }
! { dg-options "-O2" }
! PR24823 Flow didn't handle a PARALLEL as destination of a SET properly.
SUBROUTINE ZLATMR( M, N, DIST, ISEED, SYM, D, MODE, COND, DMAX,
www.eeworm.com/read/350097/3130051
c frpw.c
/*
frpw.c (c) 1996-8 Grant R. Guenther
Under the terms of the GNU public license
frpw.c is a low-level protocol driver for the Freecom "Power"
parallel port IDE
www.eeworm.com/read/350097/3130308
c probe.c
/* $Id: parport_probe.c,v 1.1 1999/07/03 08:56:17 davem Exp $
* Parallel port device probing code
*
* Authors: Carsten Gross, carsten@sol.wohnheim.uni-ulm.de
* Philip Blundell
www.eeworm.com/read/350097/3133196
h ppdev.h
/*
* linux/drivers/char/ppdev.h
*
* User-space parallel port device driver (header file).
*
* Copyright (C) 1998-9 Tim Waugh
*
* This program is free software; you ca
www.eeworm.com/read/346158/3189654
m mk_fhmm.m
function bnet = mk_fhmm(N, Q, Y, discrete_obs)
% MK_FHMM Make a factorial Hidden Markov Model
%
% There are N independent parallel hidden chains, each connected to the output
%
% e.g., N = 2 (vertical