dlink | Deno module linker

Here's the key issue and the part that will be most helpful to other readers of this question. Catkin configures CMake to build shared libraries by default but CUDA separable compilation and nvlink only work with static libraries. You need to set your CUDA libraries (in your case, those in cwru_davinci_kinematics) to be static, always. You can do that by adding the STATIC keyword to the add_library call, as in:

The problem was not related to PowerPC architecture. I needed to pass the fatbin file to the host-side compilation command with -Xclang -fcuda-include-gpubinary -Xclang axpy.fatbin to replicate the whole compilation behavior.

Here is the corrected Makefile:

If raw_input_file_list is a string, raw_input_file_list[x] is the xth character of that string.

What you might want to do is to use the split() method to split the string by commas into a list, and iterate through that list:

I don't think you're doing anything wrong here, it's just life as an email sender. Yahoo and Microsoft domains tend to use delivery deferral to throttle deliveries, whereas gmail tends to just put everything in the spam folder.

It's not saying that there is anything wrong with this particular message, but that it doesn't like the overall aggregate of messages that it's seeing from you. This may be due to some things that are within your control, so make sure that your SPF records are correct, and that you are doing DKIM signing (which is particularly important for Yahoo – they invented it and enforce it very strictly).

I see that you are sending via your localhost - that is fine, so long as your local mail server is DKIM signing for you and relaying correctly. High volume delivery is almost impossible with free/open-source mail servers as they usually lack things like delivery throttling, or they have it but it's difficult to configure.

Using MS VS 2019 and CUDA 11.0, the following steps allowed me to create a dynamic parallelism (CDP) example:

1. Create a new CUDA Runtime project

2. In the kernel.cu file that is generated, modify the kernel like so:

If you want to write your own PTX (or modify PTX), the proper CUDA methodology to use is the CUDA driver API and associated compilation flow.

The CUDA vectorAddDrv sample code has all the plumbing and workflow that you need.

Apparently, adding

set_target_properties(my_library PROPERTIES CUDA_SEPARABLE_COMPILATION ON)

to the CMakeLists.txt in root/my_library did the trick. I did try the option globally with

set(CUDA_SEPARABLE_COMPILATION ON)

in the CMakeLists.txt in the root directory, but that did not work. I dont know why.

Short answer: You can't. You are making an async request. The function will return before the results are available. You need to rewrite your function to take a completion handler. You would then invoke the completion handler when the result is available. This is widely discussed on this board.

Your updated getBookTitle(completion:) function looks good, but now you have a sequencing problem.

Your prepare(for segue:) method in your first view controller uses your networkService.getBookTitle(completion:) function, and in the completion handler it sets destinationVC.bookName.

However, remember that networkService.getBookTitle(completion:) runs asynchronously. It returns immediately, waits for the network result, and then invokes the completion handler.

Your destination view controller, (of type BookInfoVC) tries to install bookName into its UI in its viewDidLoad method. viewDidLoad() gets called immediately after the first view controller's prepare(for segue:) fires. At the time viewDidLoad is called, bookName is very likely still nil.

You need to add a didSet method on your BookInfoVC's bookName property so it responds to a change to the book name. That might look like this:

Some of the things you are attempting to accomplish at final link need to be accomplished at device link (your 2nd step). The following seems to work for me: