Parallel programming is an essential approach to addressing the growing demand for computational performance and efficiency in the modern computing era. As problems become increasingly complex and ...

One of the easiest ways to parallelize your code in MATLAB and C/C++ is to use the built-in functions and libraries that support parallel computing. For example, in MATLAB, you can use the parfor ...

Another way to optimize your code is to avoid doing the same or unnecessary work multiple times. For example, if you have a loop that calculates a value based on a constant expression, you can ...

Enhancing Code LLMs for parallel programming involves creating HPC-INSTRUCT, a large synthetic dataset of 120k instruction-response pairs derived from open-source parallel code snippets and LLM ...

[Editor's note: Part 2 of this series shows how to optimize DSP “kernels,” i.e., inner loops. For more programming tips, see the DSP programmer’s guide.] DSP applications typically have tough ...

In the optimized code, two unit32 variables are used to store data for encoding validation. In the corresponding assembly code, the MOVWU instruction is used to obtain a piece of W (4 bytes) data to ...

How does parallel programming differ from asynchronous programming, ... ConfigureAwait(false) can provide small code optimization. And if you are supporting .NET Framework applications, things get ...

Contribute to eminb61/Parallel-Programming-Optimizing-Matrix-Multiplication development by creating an account on GitHub. Skip to content. Navigation Menu Toggle navigation. Sign in ...

The programming considerations presented in this article affect both C and assembly programming today on most high-performance DSPs. While tools such as C compilers and linear assemblers are available ...

[Editor's note: Part 2 shows how to optimize DSP kernels (i.e., inner loops), and how to write fast floating-point and fractional code. Part 4 explains why it is important to optimize “control code,” ...