Most of the code I write nowadays is for GPUs using a dialect of C. Anyways, due to the hardware of GPUs there is no convenient debugger and you can't just print to console neither.
Most bugs are solved staring at the code and using pen and paper.

I guess one could call that a quirk.

"OpenGL, OpenCL deprecated in favor of Metal 2 in macOS 10.14 Mojave". Another reason I'm never buying another Apple computer.

I'm reinventing the wheel by making yet another neural network library. It's not any good yet but I learn as I go along.

The only documentation that exists now is the admittedly quite comprehensive code comments. I'm it because Keras (using TensorFlow) requires a 3.5 compute ability rating for CUDA acceleration (which I don't have) and it doesn't support OpenCL. Eventually, I will make my implementation support both with varying levels of acceleration for different compute capabilities with the oldest supported being my hardware. If I ever get around to it.

I'd say wish me luck but determination would be infinitely more useful.

You know your codebase is fucked beyond restoration when a one-dimensional array is indexed using two indices and this formula.

FUCK.

What's your most trusted computer part manufacturer list? Personally, it goes something like this:

CPU: AMD. They're performing at or above Intel's spec, without the weekly IME holes. Sometimes cost a little more, but they last way longer.

GPU: AMD, ASUS, MSI. MSI is usually over-priced but performs a smidge better, ASUS is usually a good middle-ground. Anything with an AMD chipset's usually gonna hold together fairly well, though, and won't require massively-unstable closed-source drivers for decent Linux performance. "but muh cuda" doesn't fly when OpenCL is actually, well, open.

Storage: Seagate, obviously, and SanDisk for cheap SSDs. SanDisk SSDs, especially their cheapest ones, are durable as shit for price. As for the Seagate pick... is that not self-explanatory?

Mobo: ASUS, ASRock if you need garbage in a pinch. ASUS boards are usually fairly tough, and ASRock is cheap trash for that backup tower that's gone bad in the closet.

PSU: EVGA, accept no substitute. EVGA PSUs are durable as fuck and fairly cheap, compared to other "ultra-durable" brands.

Let me start this off by stating I'm a Java dev, and a noob with C++.

Thought it'd be cool to learn some OpenCL, since I want to do some maths stuff and why not learn something new.

So I sat down, installed Nvidia proprietary drivers, broke my x-org server, purged, reinstalled, rebooted and after a while I got stuff sorted out.

Then on to my IDE. I use CLion and it uses Cmake. C++ noob knows shit about Cmake, so struggle for two hours trying to figure out wtf is going on with the OpenCL libs and why they're only partially detected. Fml.

Finally, everything is configured and I'm set. I start working on a Hello World program using OpenCL. Finish it in 20 mins, all good. No output. Do some googling, check my program a million times. Nothing wrong here. Check the kernel, everything as in the tutorial.

I start checking error codes after a while reported by OpenCL (which I had no clue was a thing) and I get some code saying the program was not created properly (to run the kernel). No fucking clue what's up with that. Google around, find another tutorial, rewrite my code in case I'm using outdated code or something. Nothing.

Fast forward an hour, I find out that OpenCL has logs! So I grab some code from the website I found it on, and voila, I finally get some info on what's going on.

Get a load of this bs.

In the kernel file, so that OpenCL knows that it's a function to run, you have to put __kernel. But in all the places I read, it said to put it as _kernel.

Add the underscore, compile, run and everything is perfect.

Then I tried just putting 'kernel'. Also compiles and runs fine.

Two hours hours and my program was fixed by adding an underscore. IF ONLY C++ GAVE AN INDICATION OF WHAT BLEW UP INSTEAD OF SITTING BACK AND BEING LIKE "oh wow man feels bad, work some magic and try again" THEN THIS WOULD NOT HAVE TAKEN SO LONG.

Then again, it was OpenCL that was being shitty with its styling enforcement or whatever the hell the underscore business is. But screw it. C++ eats shit too for this. Sure, maybe Java babies you by giving you the exact error and position that the error took place at. But at least that way you don't waste hours of your life chasing invisible bugs 😠😠

I'm going to eat some food... Too much energy was consumed fighting the system... Then I'll get back to OpenCL because 😇 but that doesn't make it less bs.

It's 2 AM, and I need to get to sleep.
I am not wanting to compile OpenCL for my Pi in the hopes that it helps this go any faster, but I also don't want to waist my time waiting for this to go.

My current dilemma.

may do an extreme rpi project…

is a self driving go kart or self flying drone cooler?

and for the drone, i think it would be easier, what do you guys think?

please answer - also for the drone, is there a way i could get it to connect from anywhere (within reason)? i know if it were a cell phone, i could get a signal from anywhere, but i don't want to pay for a monthly plan.

someone brought something to school today, a "ac receiver" or "av receiver" or something? he pointed it at the board and turn it off, and i heard he opened someone's email with it? does anyone know what this could be?

Now that the RX480 is out, I'm crying I can't afford, but do you guys know where I can find openCL benchmarks?

so I offered to help a guy with his startup idea which is in the making for a year at least. (A telemetry data collection device, mind you). It's an unpaid internship with no strings attached, no contract, mind you.

I am nowhere near the programming pro like most of you guys here, so that's what I want to focus on improving.

First thing he tells me to do is a market research on competitors.... I thought I left that bullshit behind when I left business school..

If I want to work without getting paid, I'd rather stay at home and learn c++ and opencl, and work on the MSc thesis full time, thanks.

Do you think it's the right thing to do or should I give it time?

making a self driving go kart controlled with a rpi, should i use python, java, dart, or something else? python seems like the obvious choice.

i plan on making it have google maps integrated, with netflix and music player, with a touchscreen.

i was thinking c++, but a gui with c++ didn't seem ideal.

what would you use?

also is an rpi too slow to make the go kart be *relatively* safe?

Has anyone here worked with OpenCL ? I was interested in learning it for a while but couldnt find any reliable course/tutorial or even sane documentation to follow. And is it even worth it now!?