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

Parallel metaheuristics integrate high-level search strategies—such as genetic algorithms, particle swarm optimisation and ant colony optimisation—with concurrent computing architectures to tackle ...

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 ...

Physik Instrumente’s Parallel photonics alignment technology comprises a suite of advanced firmware-level algorithms integrated into the company’s highest-performance motion controllers for 6DOF ...

The U.S. Department of Energy’s (DOE) Argonne National Laboratory and Parallel Works, Inc., a Chicago-based HPC software platform company, have won the Federal Laboratory Consortium’s (FLC) Midwest ...