Using variable speed drives on pumps reduces parasitic energy loss, enables proper maintenance and lowers capital costs. This article examines a method for determining the optimal number and speed of ...

A new technical paper titled “APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning” was published by researchers at UT Austin and Analog Devices. “Analog ...

Abstract: Modern shared-memory parallel programming models, such as OpenMP and Cilk, enable developers to encode a parallel execution plan within their code. Existing compilers, including Clang and ...

Abstract: Gannet optimization algorithm (GOA) is a meta-heuristic algorithm based on habits of gannet proposed by Zhang et al. In this paper, we propose a Gannet optimization algorithm using parallel ...

A comprehensive collection of CUDA C++ examples demonstrating fundamental to advanced GPU acceleration techniques, focusing on memory management, kernel optimization, and high-performance libraries.

A Distributed Parallel Training Simulation Tool (AdpartSim) for Data Center focuses on helping us study and simulate the parallel optimization strategies of Large Models (LM), as well as the impact of ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

ABSTRACT: With the development of satellite remote sensing technology, more and more requirements are put forward on the timeliness and stability of the satellite weather service system. The FY ...