rdc | Remote Desktop Control | TCP library

I have some of the host names as provided below, i am looking to extract only last three names after dot .

I am trying to optimize a CUDA code with LLVM passes on a PowerPC system (RHEL 7.6 with no root access) equipped with V100 GPUs, CUDA 10.1, and LLVM 11 (built from source). Also, I tested clang, lli, and opt on a simple C++ code, and everything works just fine.

After days of searching, reading, and trials-and-errors, I managed to compile a simple CUDA source. The code is the famous axpy:

i developed a MS Access desktop database app a decade ago that im attempting to rebuild using node, electron and mysql now that im a recovering windows user.

ive started by recreating the simplest form in the app after importing the necessary parts of the db: https://imgur.com/a/oRfcsXw.

the problem is in the datacontrol's operation (bottom left), specifically when using the new record button (">+"). while it sometimes properly increments the record number ("336" in the screen shot), other times it does not. when it sticks, continuing to add records eventually makes it suddenly catch up before it eventually sticks again. debugging indicates the cause being that rows.length in newRecord() is not being reported correctly.

it seems safe to assume this is related to my frustratingly inexplicable inability to fully comprehend asynchronous execution, callbacks, promises and async/await, despite being moderately intelligent and banging my head against countless articles on the subject over the past four days. i guess i just need to see an example of how to do it as it applies to my situation before im able to better grasp the concept. so feel free to ignore the great many flaws in this noobie's code below, some of which he is aware, and im sure a great many of which he is not, and just focus on how i might get an accurate rows.length.

I’m trying to write a kernel whose threads iteratively process items in a work queue. My understanding is that I should be able to do this by using atomic operations to manipulate the work queue (i.e., grab work items from the queue and insert new work items into the queue), and using grid synchronization via cooperative groups to ensure all threads are at the same iteration (I ensure the number of thread blocks doesn’t exceed the device capacity for the kernel). However, sometimes I observe that work items are skipped or processed multiple times during an iteration.

The following code is a working example to show this. In this example, an array with the size of input_len is created, which holds work items 0 to input_len - 1. The processWorkItems kernel processes these items for max_iter iterations. Each work item can put itself and its previous and next work items in the work queue, but marked array is used to ensure that during an iteration, each work item is added to the work queue at most once. What should happen in the end is that the sum of values in histogram be equal to input_len * max_iter, and no value in histogram be greater than 1. But I observe that occasionally both of these criteria are violated in the output, which implies that I’m not getting atomic operations and/or proper synchronization. I would appreciate it if someone could point out the flaws in my reasoning and/or implementation. My OS is Ubuntu 18.04, CUDA version is 10.1, and I’ve run experiments on P100, V100, and RTX 2080 Ti GPUs, and observed similar behavior.

The command I use for compiling for RTX 2080 Ti:

nvcc -O3 -o atomicsync atomicsync.cu --gpu-architecture=compute_75 -rdc=true

Some inputs and outputs of runs on RTX 2080 Ti:

I am stuck for 4 days on the same issue so I hope getting some help hear. I am trying to load data to a database through an SQL script but often when I run the app for the first time I have an error :

I am trying to do something like that:

I'm trying to play with mixing CUDA and C++. I encountered the following error:

main.cpp: define "main()". Call "gpu_main()" and "add_test()"
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|--> add_func.cu: define "gpu_main()" and "__global__ void add()" as kernel. The "add()" will call "add_test()"
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|--> basic_add.cu: define "__host__ __device__ int add_test(int a, int b)"

I compile the code this way:

My goal is to set a host variable passed by reference into a cuda kernel: