Artificial intelligence is no longer a futuristic concept—it’s a commercial arms race. Enterprises are rebuilding entire tech stacks around machine ...

Abstract: This paper aims at comparing the serial, shared memory parallelization, and distributed memory parallelization of the dynamic programming algorithm for the Knapsack Problem. Knapsack Problem ...

The Central Treatment and Export Plant (CTEP) has been recently launched in Iran as the largest central processing unit in the country While inaugurating this mega-scale project, President Pezeshkian ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Abstract: Domain-specific architecture has greatly improved performance and energy efficiency in in-memory databases, especially for accelerating single-functional computing logic in analytic query ...

A Tensor Processing Unit (TPU) is a specialized chip designed to accelerate AI and machine learning (ML) tasks. Unlike traditional computer processors (CPUs) or graphics processing units (GPUs), TPUs ...

LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle ...

pandas: For efficient data manipulation and analysis. multiprocessing: To implement parallel processing.