When working with Microsoft Visual C++ (MSVC) compiler, it could be helpful to know exactly which compiler version is being used - especially when debugging, managing dependencies, or writing conditional...
C++
In performance-critical applications like image processing, scientific simulations, and machine learning, computing operations like element-wise minimum across arrays can become a bottleneck. Thankfully, SIMD instructions available in modern CPUs allow...
Reversing array elements is a common operation in programming, and it can be done efficiently using various methods, such as scalar or SIMD. SIMD allows for parallel processing of multiple...
In performance-critical applications such as scientific computing, graphics, game development, or data processing, converting large arrays of floating-point numbers to integers is a common operation. While a basic scalar loop...
When working with numerical data, a common task is to convert arrays of integers into arrays of floating-point numbers. Although the basic scalar approach works perfectly fine, it may not...
When building modern C or C++ projects, it's common to want to use the latest compiler features and optimizations. But not all compilers - or even versions of the same...
Compiler warnings help developers write cleaner, safer, and more maintainable code. They help catch potential bugs early, enforce good practices, and improve code quality. But unless explicitly enabled, many compilers...
When working with big datasets on a GPU, it's helpful to keep values within a certain range. This process, called clamping, can be done quickly using parallel computing. It helps...
In many high-performance computing tasks - such as data preprocessing, graphics, or scientific simulations - we often need to perform operations on arrays, such as division by a scalar value...
When handling massive datasets or performance-intensive programs, speed and efficiency are essential. A frequently encountered task in such contexts is adding arrays together by summing each element with its counterpart...