◆ MATLAB

Accelerate MATLAB code using GPUs

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskRun this signal processing algorithm on the GPU instead of the CPU. I need the results by…+
Run this signal processing algorithm on the GPU instead of the CPU. I need the results by Friday for the presentation to the client.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore I run this large dataset through the image recognition algorithm, make sure it's set up…+
Before I run this large dataset through the image recognition algorithm, make sure it's set up to use the GPU. We need to process this faster than last time to meet the project deadline, and I want to avoid a repeat of the long wait.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe deep learning model I'm training is taking hours on the CPU, and I'm worried we won't have…+
The deep learning model is taking too long to train on the CPU.
The deep learning model I'm training is taking hours on the CPU, and I'm worried we won't have results for the internal review tomorrow. I know we have GPU resources, but I'm not sure if the current setup is actually using them. Is the code configured correctly to leverage the GPU, and what's the fastest way to confirm it?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternMy large-scale simulations are always taking too long, delaying my progress and pushing back…+
My simulations are consistently running slower than expected.
My large-scale simulations are always taking too long, delaying my progress and pushing back deadlines. I suspect I'm not consistently utilizing the available GPU resources effectively. What habit should I adopt to ensure I always optimize my code for GPU acceleration when dealing with large datasets or computationally intensive tasks?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from MATLAB's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.