fast-code | Encode/Decode plugin for Chrome | Messaging library

 by   dsh0416 JavaScript Version: v0.1.3 License: MIT

kandi X-RAY | fast-code Summary

kandi X-RAY | fast-code Summary

fast-code is a JavaScript library typically used in Messaging applications. fast-code has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Encode/Decode plugin for Chrome
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            kandi-support Support

              fast-code has a low active ecosystem.
              It has 57 star(s) with 19 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fast-code is v0.1.3

            kandi-Quality Quality

              fast-code has no bugs reported.

            kandi-Security Security

              fast-code has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              fast-code is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fast-code releases are available to install and integrate.

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            fast-code Key Features

            No Key Features are available at this moment for fast-code.

            fast-code Examples and Code Snippets

            No Code Snippets are available at this moment for fast-code.

            Community Discussions

            Trending Discussions on fast-code

            QUESTION

            Error when accessing CUDA array from cudaMalloc
            Asked 2020-Feb-10 at 19:29

            I'm using VS2019 and have an NVIDIA GeForce GPU. I tried the code from this link: https://towardsdatascience.com/writing-lightning-fast-code-with-cuda-c18677dcdd5f

            However, I want to try using cudaMalloc instead of using managed memory with cudaMallocManaged

            I tried the code below:

            ...

            ANSWER

            Answered 2020-Feb-10 at 19:29

            In no particular order:

            1. Device memory (i.e. memory allocated with cudaMalloc) can't be accessed directly on the host, so your maxError calculations are illegal because y is a pointer in device memory. To perform the error check, you require a copy of y to a local host copy of the memory before running the loop
            2. cudaMemset sets bytes, not words (just like regular memset). You either need to set values on the host and copy them to the device, or in another kernel, or use something like thrust::fill_n.
            3. In the spirit of your previous question, there is typically setup latency in the first call of a kernel, so perform a warm-up before timing

            Doing these three things gets me this:

            Source https://stackoverflow.com/questions/60120683

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fast-code

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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