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GPUs have immensely contributed to various applications: in graphics, AI, scientific computing, you name it. But their ...

GPU programming is a mess. It relies on frameworks that are tied to specific devices, incompatible shading languages, and ...

What is the Bend programming language for parallel computing? Let's take a first look at Bend and how it uses a Python-like ...

Check out IBM Cloud for GPUs → https://ibm.biz/BdPSfV In the latest in our series of lightboarding explainer videos, Alex Hudak is ...

In this video, presenter Noel Chalmers introduces GPU programing concepts specific to ROCm. CTA: https://www.amd.com/rocm ...

In this video, we talk about how why GPU's are better suited for parallelized tasks. We go into how a GPU is better than a CPU at ...

Support this channel at: https://buymeacoffee.com/simonoz Code for animations and examples: ...

Matrix multiplication on a GPU using CUDA C/C++. Code Repository: https://github.com/tgautam03/xGeMM Video Notes: ...

Support this channel at: https://buymeacoffee.com/simonoz Code for animations and examples: ...

What is CUDA and why do we need it? An Nvidia invention, its used in many aspects of parallel computing. We spoke to Stephen ...

This video provides a high-level explanation of graphics programming, as well as the essential knowledge to get started writing ...

Introduction to NVIDIA's CUDA parallel architecture and programming model. Learn more by following @gpucomputing on twitter.

In my previous video, I talked about why CPUs cannot have thousands of cores. While this is true, due to thermal, electrical, and ...

Enroll to gain access to the full course: https://deeplizard.com/course/ptcpailzrd Artificial intelligence with PyTorch and CUDA.

This is a solution to the classic CPU vs GPU technical interview question. Preparing for a technical interview? Checkout ...

What's the difference between a CPU and GPU? And what the heck is a TPU, DPU, or QPU? Learn the how computers actually ...

If you can parallelize your code by harnessing the power of the GPU, I bow to you. GPU code is usually abstracted away by by the ...

I explain the ending of exponential computing power growth and the rise of application-specific hardware like GPUs and TPUs.

Nvidia's CUDA platform is the most popular framework for GPU-accelerated general computing (bar cloud solutions). But for a ...

Support this channel at: https://buymeacoffee.com/simonoz Code for animations and examples: ...