nBlock | content filtering , network/ad blocking ecap adapter | Privacy library

by notracking C++ Version: Current License: No License

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kandi X-RAY | nBlock Summary

nBlock is a C++ library typically used in Security, Privacy applications. nBlock has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A network-wide web content filtering & blocking eCAP adapter for Squid. nBlock Aims to replace all sorts of privacy enhancing browser plugins like AdBlock Plus, Decentraleyes, Self-Destructing Cookies and fills the content filtering gaps that come with DNS only filters like Pi-Hole. Please read the installation instructions on how to set up your own instance of nBlock.

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nBlock has a low active ecosystem.

It has 10 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

nBlock has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nBlock is current.

Quality

nBlock has no bugs reported.

Security

nBlock has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nBlock does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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nBlock releases are not available. You will need to build from source code and install.

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Community Discussions

Trending Discussions on nBlock

Is it necessary to use synchronization between two calls to CUDA kernels?

Parallel batched small matrices in CUDA not working with for loop

C memcpy to swap rows of 2D array

webscraping with selenium to click a button and grab everything

terminate called after throwing an instance of 'thrust::system::system_error' what(): parallel_for failed: cudaErrorInvalidValue: invalid argument

AES Encryption program do not work correctly on IDEs

NVIDIA Architecture: CUDA threads and thread blocks

What is the proper way to use stride in cuda to do multiblock reduction?

Code not clear from a movie . Is this legal?

Parallel programming in C not executing instructions

QUESTION

Is it necessary to use synchronization between two calls to CUDA kernels?

Asked 2021-Jun-15 at 13:26

So far I have written programs where a kernel is called only once in the program

So I have a kernel

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ANSWER

Answered 2021-Jun-15 at 12:37

Additional synchronization would not be necessary in this case for at least 2 reasons.

cudaMemcpy is a synchronizing call already. It blocks the CPU thread and waits until all previous CUDA activity issued to that device is complete, before it allows the data transfer to begin. Once the data transfer is complete, the CPU thread is allowed to proceed.
CUDA activity issued to a single device will not overlap in any way unless using CUDA streams. You are not using streams. Therefore even asynchronous work issued to the device will execute in issue order. Item A and B issued to the device in that order will not overlap with each other. Item A will complete before item B is allowed to begin. This is a principal CUDA streams semantic point.

Source https://stackoverflow.com/questions/67985805

QUESTION

Parallel batched small matrices in CUDA not working with for loop

Asked 2020-Oct-19 at 01:37

I have a number (say a million) of small matrices 4 x 3. I would like to do several simple operations with them and I would like my CUDA kernel to parallelize the matrices index only, (not the row/column operations). Let me explain better: I pass as an input to my GPU Kernel an array of matrices A[MatrixNumb][row][col] and I would like operation parallelization to be only on the MatrixNumb (therefore I want to force the operation in one dimension. The example below is with 3 Matrices only, for simplicity. It compiles and runs, however it gives me the wrong results. Basically, it returns the same matrices I give it as an input. I cannot understand why and if I am making any mistake, how can I re-write/think the code? I wrote the code using also CudaMallocManaged, in order to have shared memory between host and device, however it gives me the same results using the classic CudaMalloc and using memcpy.

Source.cpp

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ANSWER

Answered 2020-Oct-19 at 01:37

You had a several issues:

When using managed memory with double or triple pointer access, every pointer in the tree must be allocated using a managed allocator
Your allocation schemes had too many levels, and you were allocating some pointers twice (memory leak).
The order of arguments you are passing to your kernel does not match the order of arguments your kernel expects (n, m were backwards).
Since you are potentially launching more blocks/threads than necessary, your kernel requires a thread check (if-test).
Your code should be in a .cu file, not a .cpp file.

The following code has the above issues addressed, and seems to run without runtime error.

Source https://stackoverflow.com/questions/64414577

QUESTION

C memcpy to swap rows of 2D array

Asked 2020-Oct-03 at 13:40

I am trying to use memcpy C library function to swap rows of 2D array(array of strings). Source files for this task is below:

main.c

...

ANSWER

Answered 2020-Oct-03 at 13:34

You are not allowed to modify string literals. For more information, see c - Why do I get a segmentation fault when writing to a "char *s" initialized with a string literal, but not "char s[]"?.

You can modify values of pointers to swap rows.

Source https://stackoverflow.com/questions/64184670

QUESTION

webscraping with selenium to click a button and grab everything

Asked 2020-Sep-25 at 21:48

I have been working on this scraper for a while and I think it could be improved but I'm not sure where to go from here.

The initial scraper looks like this and I believe it does everything I need it to do:

...

ANSWER

Answered 2020-Sep-25 at 21:48

if the length of your list is the problem, why not using :

Source https://stackoverflow.com/questions/64071393

QUESTION

terminate called after throwing an instance of 'thrust::system::system_error' what(): parallel_for failed: cudaErrorInvalidValue: invalid argument

Asked 2020-Sep-08 at 20:26

I am trying to count the number of times curand_uniform() returns 1.0. However i cant seem to get the following code to work for me:

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ANSWER

Answered 2020-Sep-08 at 20:26

This line:

Source https://stackoverflow.com/questions/63800535

QUESTION

AES Encryption program do not work correctly on IDEs

Asked 2020-Jun-09 at 09:39

Program

...

ANSWER

Answered 2020-Jun-09 at 07:22

Check the encoding your files (Status Bar) and the project (Settings | Editor | File Encodings) have.

Try adding -Dfile.encoding=UTF-8 into Help | Edit Custom VM Options file and restart IDE.

Also check that the console has Font set (Settings (Preferences on macOS) | Editor | Color Scheme | Console Font) which is capable to display all the glyphs.

Source https://stackoverflow.com/questions/62274588

QUESTION

NVIDIA Architecture: CUDA threads and thread blocks

Asked 2020-May-13 at 02:52

This is mostly from the book "Computer Architecture: A Quantitative Approach."

The book states that groups of 32 threads are grouped and executed together in what's called the thread block, but shows an example with a function call that has 256 threads per thread block, and CUDA's documentation states that you can have a maximum of 512 threads per thread block.

The function call looks like this:

...

ANSWER

Answered 2020-May-13 at 02:52

The question is a little unclear in my opinion. I will highlight a difference between thread warps and thread blocks that I find important in hopes that it helps answer whatever the true question is.

The number of threads per warp is defined by the hardware. Often, a thread warp is 32 threads wide (NVIDIA) because the SIMD unit on the GPU has exactly 32 lanes of execution, each with its own ALU (this is not always the case as far as I know; some architectures have only 16 lanes even though thread warps are 32 wide).

The size of a thread block is user defined (although, constrained by the hardware). The hardware will still execute thread code in 32-wide thread warps. Some GPU resources, such as shared memory and synchronization, cannot be shared arbitrarily between any two threads on the GPU. However, the GPU will allow threads to share a larger subset of resources if they belong to the same thread block. That's the main idea behind why thread blocks are used.

Source https://stackoverflow.com/questions/61764625

QUESTION

What is the proper way to use stride in cuda to do multiblock reduction?

Asked 2020-Apr-01 at 07:42

Hello everyone I'm trying to use grid-stride method and atomic functions to do multi-block reduction.
I know that the usual way to do this is to launch two kernels or use lastblock method as directed in this note.(or this tutorial)

However, I thought this could also be done by using grid-stride with atomic code.
As I tested, it worked very well..
until for some number, it gives the wrong answer. (which is very weird)

I have tested for some "n"s and found that I get wrong answer for n = 1234565, 1234566, 1234567.
This is my whole code of doing n sum of 1. So the answer should be n.
Any help or comment is appreciated.

...

ANSWER

Answered 2020-Apr-01 at 07:42

You have gotten quite a lot wrong in your implementation. This will work:

Source https://stackoverflow.com/questions/60951377

QUESTION

Code not clear from a movie . Is this legal?

Asked 2020-Jan-14 at 05:26

Saw this in a movie(Night Hunter 2019) and I never saw a for-statement written this way (assuming this is C++). Is this syntax legal? What is it saying?

(Timestamp 46:30 minutes)

The code I'm referring to is, specifically HUNTER71:

...

ANSWER

Answered 2020-Jan-14 at 05:06

Assuming you are referring to the following snippet:

Source https://stackoverflow.com/questions/59727700

QUESTION

Parallel programming in C not executing instructions

Asked 2019-Dec-01 at 13:41

I need help with C parallel programming, from this graph: graph image

I wrote this code:

...

ANSWER

Answered 2019-Dec-01 at 12:40

is buffered, see stdio(3) and setvbuf(3). You should call fflush(3) at appropriate places, in particular before fork(2).

BTW, the code of your standard libc is free software, probably GNU glibc. Of course it uses syscalls(2). So you should study its source code.

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