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Thread Hierarchy in CUDA

Last Updated: 13 April 2026

The primary advantage of CUDA programming is the ability to execute thousands of tasks simultaneously. To manage this massive parallelism, NVIDIA uses a structured hierarc...read more

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Passing Parameters & Error Handling in CUDA

Last Updated: 09 April 2026

Efficient CUDA development requires managing data movement between the CPU (Host) and GPU (Device) with precision. Success in parallel programming depends on understanding...read more

CUDA Installation and Setup in VS Code

Last Updated: 27 February 2026

This article explains how to install CUDA Toolkit and configure it with VS Code on Windows for compiling and running CUDA (.cu) programs.PrerequisitesBefore proceeding, en...read more

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Launching a Kernel | CUDA

Last Updated: 26 February 2026

In CUDA, a kernel launch is the process of starting parallel execution of a kernel function on the GPU from the Host (CPU). This is done using the Execution Configuration ...read more

Introduction to GPU Computing

Last Updated: 25 February 2026

GPU computing is the use of a Graphics Processing Unit (GPU) to perform computations faster by executing many operations in parallel, unlike CPU which compute processes se...read more

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__host__ Specifier in CUDA

Last Updated: 17 February 2026

__host__ specifier is a function type qualifier used to explicitly communicate to the compiler that a specific function is designed to reside and execute on the Host (CPU)...read more

Writing First CUDA Program

Last Updated: 14 February 2026

A CUDA program is "heterogeneous," meaning it consists of code that runs on two different systems at once: the Host (CPU) and the Device (NVIDIA GPU). CUDA programming mod...read more

Compiling CUDA Programs (NVCC)

Last Updated: 12 February 2026

The NVIDIA CUDA Compiler (NVCC) is the specialized driver used to transform CUDA C++ source code into executable programs. Because CUDA programs are "heterogeneous" meanin...read more

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Sequential Processing & Need for Parallelism

Last Updated: 11 February 2026

Sequential processing dominated early CPU design, where performance gains were achieved primarily through higher clock speeds and increased transistor density. Program exe...read more

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Last Updated: 13 April 2026

CUDA (Compute Unified Device Architecture) is a GPU computing platform and programming model from NVIDIA that exposes hardware-level parallel execution capabilities to sof...read more

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Setting Up Google Colab for CUDA

Last Updated: 17 February 2026

Google Colab provides a cloud-based environment that grants free access to NVIDIA GPUs. This makes it an ideal platform for developing and testing CUDA (Compute Unified De...read more

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Function Parameter and Pointers

Last Updated: 11 February 2026

In C++, pointers allow functions to access and modify the original data instead of working on copies. They provide better control over memory and parameter passing.Changes...read more

Floating point Manipulating Default Format

Last Updated: 11 February 2026

In C++, floating-point values are printed using a default format, but it can be customized for precision, style, and rounding using stream manipulators. These tools help c...read more

Array Parameters and Pointers

Last Updated: 11 February 2026

Arrays are often passed to functions as parameters in C++. However, since arrays decay into pointers when passed to a function, there are some subtle issues and limitation...read more

C Style String in C++

Last Updated: 12 February 2026

In C, a string is a character array terminated by a null character \0, making its size one more than the number of characters. C++ also supports this, and the compiler aut...read more

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