Thread pooling in cpp on gnu linux Post: 302247599

7 More Discussions You Might Find Interesting

1. Programming

Connection Pooling

Hi , Could anyone suggest how do you implement a Connection pool in C? Connection pool to store/reuse connections to any resource manager .. database, MQSeries. How is this done? Regards, VJ

2. Linux

Hello all, I'm looking in to building a Redhat/Windows machine for myself and was wondering if Redhat linux support 800Mhz front side bus speed or hyper-thread? If so would I have to recompile the kernel to enable this feature? Thanks

3. UNIX for Dummies Questions & Answers

GNU and Linux: Different or the same?

Sorry for sounding like an incredible n00b, but as I have been lurking and searching on the net, I have come across something that may be common sense to most, but to me is confusing. I constantly see the word GNU when I do searches for Linux, both on this web site and on search engines. I found...

4. Shell Programming and Scripting

Connection pooling in perl

I am developing a web based application using perl. I need to use the concept of connection pooling in it. I am using apache server & my db is postgres. Can any one help me in this regard. If any sample script or the site provide will be of greater help. Thanks & Regards, Alma

5. SCO

GNU cpp and make on SCO

Installed GNU make and the GNU C/C++ compiler on SCO Openserver 5.0.7 recently. Only a normal user is able to run make and compile programs - root is not able to. Under root, make do run, but root can't access the compiler at all, even tho I set root's path to point to the compiler....

6. Fedora

FreeBSD or GNU/Linux?

Hi, i'm working on micro$oft windows based networking environment's. i want learn other os than micro$oft windows. i tested FreeBSD & Gnu/Linux (Fedora). both are similar. which of following is best choice for me? for networking? and which of them has future (for e.g not discontinued after 2...

7. UNIX for Advanced & Expert Users

Thread implementation in Linux

I read about Thread implementation in linux. it says a thread is treated as a process. that means every thread (which should be light weight) has it's own task_struct (which is quite heavy, tipically 1.5kb). still results favors linux then other operating system which have additional support for...

LEARN ABOUT MOJAVE

mpscnnpooling

MPSCNNPooling(3)					 MetalPerformanceShaders.framework					  MPSCNNPooling(3)

NAME

       MPSCNNPooling

SYNOPSIS

       #import <MPSCNNPooling.h>

       Inherits MPSCNNKernel.

       Inherited by MPSCNNDilatedPoolingMax, MPSCNNPoolingAverage, MPSCNNPoolingL2Norm, and MPSCNNPoolingMax.

   Instance Methods
       (nonnull instancetype) - initWithDevice:kernelWidth:kernelHeight:
       (nonnull instancetype) - initWithDevice:kernelWidth:kernelHeight:strideInPixelsX:strideInPixelsY:
       (nullable instancetype) - initWithCoder:device:
       (nonnull instancetype) - initWithDevice:

   Additional Inherited Members
Detailed Description
       This depends on Metal.framework	Pooling is a form of non-linear sub-sampling. Pooling partitions the input image into a set of rectangles
       (overlapping or non-overlapping) and, for each such sub-region, outputs a value. The pooling operation is used in computer vision to reduce
       the dimensionality of intermediate representations.

Method Documentation
   - (nullable instancetype) initWithCoder: (NSCoder *__nonnull) aDecoder(nonnull id< MTLDevice >) device
       NSSecureCoding compatability  See MPSKernel::initWithCoder.

       Parameters:
	   aDecoder The NSCoder subclass with your serialized MPSCNNPooling
	   device The MTLDevice on which to make the MPSCNNPooling

       Returns:
	   A new MPSCNNPooling object, or nil if failure.

       Reimplemented from MPSCNNKernel.

       Reimplemented in MPSCNNDilatedPoolingMax, MPSCNNPoolingAverage, MPSCNNPoolingL2Norm, and MPSCNNPoolingMax.

   - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device
       Standard init with default properties per filter type

       Parameters:
	   device The device that the filter will be used on. May not be NULL.

       Returns:
	   A pointer to the newly initialized object. This will fail, returning nil if the device is not supported. Devices must be
	   MTLFeatureSet_iOS_GPUFamily2_v1 or later.

       Reimplemented from MPSCNNKernel.

   - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(NSUInteger) kernelWidth(NSUInteger) kernelHeight
       Initialize a pooling filter

       Parameters:
	   device The device the filter will run on
	   kernelWidth The width of the kernel. Can be an odd or even value.
	   kernelHeight The height of the kernel. Can be an odd or even value.

       Returns:
	   A valid MPSCNNPooling object or nil, if failure.

   - (nonnull instancetype) initWithDevice: (nonnull id< MTLDevice >) device(NSUInteger) kernelWidth(NSUInteger) kernelHeight(NSUInteger)
       strideInPixelsX(NSUInteger) strideInPixelsY
       Initialize a pooling filter

       Parameters:
	   device The device the filter will run on
	   kernelWidth The width of the kernel. Can be an odd or even value.
	   kernelHeight The height of the kernel. Can be an odd or even value.
	   strideInPixelsX The output stride (downsampling factor) in the x dimension.
	   strideInPixelsY The output stride (downsampling factor) in the y dimension.

       Returns:
	   A valid MPSCNNPooling object or nil, if failure.

       Reimplemented in MPSCNNPoolingAverage, MPSCNNPoolingL2Norm, and MPSCNNPoolingMax.

Author
       Generated automatically by Doxygen for MetalPerformanceShaders.framework from the source code.

Version MetalPerformanceShaders-100				  Thu Feb 8 2018						  MPSCNNPooling(3)

7 More Discussions You Might Find Interesting

1. Programming

Connection Pooling

Discussion started by: vjsony

2. Linux

Linux Hyper-thread support?

Discussion started by: larry