rdc | The Randomized Dependence Coefficient in Python | Machine Learning library

I want to implement a simple "GPT" timer that generates an interrupt every 1ms. However, I get an interrupt exactly every 3ms (instead of the desired 1ms).

Where is my error? What values should I set to get a 1ms timer?

Here is my calculation for the GPT timer:

EXPLANATION OF TIMER VALUES:

We take for source clock the PLL1 DIV2 400MHz We define the root divisor at 4 => 400MHz / 4 = 100MHz

100MHz = one increment every 10ns We want an interrupt to be generated every 1 ms

So we have : Output_compare_value = delay_time x GPT_frequency

Output_compare_value = 1 x 10^-3 x (1/(10 x 10^-9)) = 100000

Here is my code (I change the state of a GPIO at each interrupt to check the operation of my timer on the oscilloscope):

After creating 2 security groups and a RDC instance, I am in the terminal and when I tried to connect to mysql using the displayed endpoint with admin password it is giving '110 can not connect'. can you please guide me with possible reason why this is not getting connected? Image of error message is also attached.

I'm trying to use CUDA separable compilation in my project. The project is composed of a binary that depends on a few shared libraries (all built in the same build system). These shared libraries in turn use common CUDA code. When running the binary, I get a segfault similar to here. When I create a minimal example, I get "invalid device function" error instead. If I turn the shared libraries into static libraries, the error goes away. Unfortunately I don't have control over this and need to make it work with shared libraries.

I have seen a couple similar posts here in SO, but they use CMake and the solutions usually involve changing libraries from shared to static, which I can't do in my project. I have double-checked that I'm running the code on the right GPU (and indeed it works if I do some changes, see below), so that's not the issue.

I believe I'm missing something when doing CUDA separable compilation, device linking or creating shared libraries.

Below is a fully reproducible minimal example of the problem:

I have a managed variable in file p2.f95 in module a1. I'm passing this managed variable to kernel in file p6.f95.I am able to access the variable in file p6.f95 but unable to access the same from the kernel i.e; I am not able to print variable value from the device. Can someone please explain why.....?

file1:p2.f95

I am in the process of evaluating vendors for upgrading our existing VMware environment. In a conversation with a provider, he told me that vMotion was not possible without a separate SAN appliance or vSAN (the latter requiring 6+ hosts and expensive licensing).

Under the impression that our 3-host cluster already had vMotion licensing and capability, I tried to "vMotion" a running Windows VM using the vSphere client. I was able to "migrate" both the VM and its disk to a new host and datastore respectively, but nowhere did I see the term "vMotion" in the Recent Tasks log at the bottom of the UI. What I did see there was "Migrating Virtual Machine - Active State" and I was able to maintain an RDC connection and interact with the VM all through the migration process.

My question: Am I misunderstanding the term vMotion? Is it different than migration in an "active state"?

Also, assuming vMotion is an unattended convenience and seeing as we already have an image-level backup solution for our VMs and my company is okay with manually restoring those VMs from a backup (as opposed to the convenience of an "instant," unattended, back-end restoration), is vMotion worth the investment in a dedicated SAN server if we're already capable of "live migration" on demand?

And don't worry about selling me on all the benefits of a SAN. Believe me, I'm already with you on that. The people over here who sign the checks just have different priorities is all.

TWIMC: We're in a 3-host cluster, ESXi 6.0 on all. Enterprise Plus licensing.

How can i convert this example dataframe below. So it creates a spatial object that can be plotted by tmap?

The data consists of two Local Authority District (UK) regions - cornwall and hartlepool. It also consists of corresponding metadata that I would like to plot on the map.

I have put some push notifications in my code, in order to someone to be notified when an action is made. I made the back end with lib.net.webpush 3.1.0 with .net 4.5.2 in C#. So far, the notification system is working very well, but there is something I can't succeed : Within my service worker file (sw.js), using Angular 9, i want, when someone received the notification, that when a user click on it, he is redirect to the page from which it was sent.

first i made it like it (as i read in the doc):

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: