monte | bare minimum for high performance | Networking library
kandi X-RAY | monte Summary
kandi X-RAY | monte Summary
The bare minimum for high performance, fully-encrypted RPC over TCP in Go.
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Top functions reviewed by kandi - BETA
- writeLoop is used to write a buffered connection
- Basic example .
- ReadSized reads the number of bytes in r and returns the resulting slice .
- IsEOF returns true if the given error is an EOF error .
- acquireContext returns a new Context .
- acquirePendingWrite returns a pendingWrite to the given buffer .
- acquirePendingRequest allocates a pending request and returns it .
- AcquireTimer returns a timer with the given timeout . If the timer has no effect it returns a new timer .
- ReleaseTimer returns a timer .
- NewSessionConn returns a new SessionConn .
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Trending Discussions on monte
QUESTION
I have a code that contains several if statements, but, i need to return the previous level if the statement is not satisfy. I tried to put on the "else", but the code continues to stoping. I thried to do a While condition " While != 0" but i stucked in a infinity loop he's my code
...ANSWER
Answered 2021-Jun-15 at 13:26Try replacing the indented 'if' statements with 'elif', don't replace the first 'if' though.
QUESTION
My task is to calculate the approximate value of pi with an accuracy of at least 10^-6. The Monte Carlo algorithm does not provide the required accuracy. I need to use the calculation only through the volume of the sphere. What do you advise? I would be glad to see examples of code in CUDA or pure C++. Thank you.
...ANSWER
Answered 2021-Jun-12 at 12:32Taylor Series can be used to calculate the value of pi accurate up to 5 decimal places.
QUESTION
I have a page in Bootstrap 4. When I added the footer a vertical scrollbar is coming. I don't want the vertical scrollbar. I want the whole page including the footer to adjust within the viewport height. How can I achieve this. Here is the jsfiddle.
...ANSWER
Answered 2021-Jun-11 at 10:35I gave the height in percentage and was able to solve the problem.
QUESTION
This is my first post here and I am not that experienced, so please excuse my ignorance.
I am building a Monte Carlo simulation in C++ for my PhD and I need help in optimizing its computational time and performance. I have a 3d cube repeated in each coordinate as a simulation volume and inside every cube magnetic particles are generated in clusters. Then, in the central cube a loop of protons are created and move and at each step calculate the total magnetic field from all the particles (among other things) that they feel.
At this moment I define everything inside the main function and because I need the position of the particles for my calculations (I calculate the distance between the particles during their placement and also during the proton movement), I store them in dynamic arrays. I haven't used any class or function,yet. This makes my simulations really slow because I have to use eventually millions of particles and thousands of protons. Even with hundreds it needs days. Also I use a lot of for and while loops and reading/writing to .dat files.
I really need your help. I have spent weeks trying to optimize my code and my project is behind schedule. Do you have any suggestion? I need the arrays to store the position of the particles .Do you think classes or functions would be more efficient? Any advice in general is helpful. Sorry if that was too long but I am desperate...
Ok, I edited my original post and I share my full script. I hope this will give you some insight regarding my simulation. Thank you.
Additionally I add the two input files
...ANSWER
Answered 2021-Jun-10 at 13:17I talked the problem in more steps, first thing I made the run reproducible:
QUESTION
Why is it that the matrix multiplication with Numpy is much faster than gsl_blas_sgemm from GSL, for instance:
ANSWER
Answered 2021-Jun-06 at 19:52TL;DR: the C++ code and Numpy do not use the same matrix-multiplication library.
The matrix multiplication of the GSL library is not optimized. On my machine, it runs sequentially, does not use SIMD instructions (SSE/AVX), does not efficiently unroll the loops to perform register tiling. I also suspect it also does not use the CPU cache efficiently due to the lack of tiling. These optimizations are critical to achieve high-performance and widely used in fast linear algebra libraries.
Numpy uses a BLAS library installed on your machine. On many Linux platform, its uses OpenBLAS or the Intel MKL. Both are very fast (they use all the methods described above) and should run in parallel.
You can find which implementation of BLAS is used by Numpy here. On my Linux machine, Numpy use by default CBLAS which internally use OpenBLAS (OpenBLAS is strangely not directly detected by Numpy).
There are many fast parallel BLAS implementations (GotoBLAS, ATLAS, BLIS, etc.). The open-source BLIS library is great because its matrix multiplication is very fast on many different architectures.
As a result, the simplest way to improve your C++ code is to use the cblas_sgemm CBLAS function and link a fast BLAS library like OpenBLAS or BLIS for example.
For more information:
One simple way to see how bad the GSL perform is to use a profiler (like perf on Linux or VTune on Windows). In your case Linux perf, report that >99% of the time is spent in libgslcblas.so (ie. the GSL library). More specifically, most of the execution time is spent in this following assembly loop:
QUESTION
ANSWER
Answered 2021-Jun-05 at 21:39Here's a plot to show what you were working with. I'm hoping it will help you understand what I wrote in my comment better:
You seem to be ignoring the rectangle below y=1. It's area (=4) is the missing quantity. So the code is correct for calculating the non-offset expression x^2. Change to y_n <- runif(n, min = 0, max = 5) and re-run the calculations
The comment was half-the answer, i.e. that you hadn't simulated the point that were between 0 and 1 for y_n's. Those need to be in the Monte Carlo model of integration of an area. The other modification is to add in the correct total area of [-2 < x <2]x[0<5] = 4*5 to the calculation of the total "area" under consideration
QUESTION
I need help. I'm making a program using the youtube library, for c#.
For songs it works perfect. The problem is in the playlist I want to recover "videoId" to add it to a database, to put the videos in "queue".
I am using this method:
...ANSWER
Answered 2021-Jun-05 at 06:08Instead of going to every path you can use below code :
QUESTION
I have an array: [1,1.2,1.4,1.5.....] with 1000 elements. I would like to randomly pick a value from these choices using a weighted gaussian probability with a given mean. For example, I have set mean value of 25. So the weight of choices is a gaussian function which has mean around 25, i.e the most of the numbers picked are around 25.
Duplicate of this question but using python instead of javascript. Probability curve is something like this:
Background Info I am trying to fit a curve on some data which has asymmetric error bars and I cannot find any python module to do such fitting. So I am doing a Monte-Carlo simulation where I randomly pick x and y data points from the error range with data values as mean and repeat it some (let's say) 1000 times and optimize the mean square error.
This is how my data looks like:
...ANSWER
Answered 2021-Jun-03 at 20:22Couldn't you use take advantage of the numpy random sample method?
QUESTION
I am working out of "HTML5 and CSS5 Illustrated Complete" Second Edition by Sasha Vodnik. I did the initial Unit D example to a Tee, however logo styling and the positioning aren't applying correctly or at all.
...ANSWER
Answered 2021-Feb-16 at 19:29Add top: 0; to your header in CSS. It should look like this:
QUESTION
I have 5 sheets in excel with different parameters.
history
ANSWER
Answered 2021-Jun-02 at 20:24If idx is the index of your dataframes:
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