Chemical process simulations are crucial for optimizing industrial operations, but they often require significant ...

In this video, Torsten Hoefler from ETH Zurich presents: Scientific Benchmarking of Parallel Computing Systems. "Measuring and reporting performance of parallel computers constitutes the basis for ...

Viewshed analysis is a critical process within Geographic Information Systems (GIS) that determines the visibility of terrain from a given observation point. Recent progress in parallel computing ...

With support and funding from Intel, research at the new center will use high performance parallel computing to solve problems in finance. Researchers will develop computational algorithms and ...

The PicoCray project connects multiple Raspberry Pi Pico microcontroller modules into a parallel architecture leveraging an I2C bus to communicate between nodes.

Important parallel algorithms and data structures will be discussed, including the notion of lock-free data structures. Note that this class lightly touches upon GPU programming; students primarily ...

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...

Parallel computing is the fundamental concept that, along with advanced semiconductors, has ushered in the generative-AI boom.

Oak Ridge National Laboratory, in partnership with Quantum Brilliance, has installed a Quantum Brilliance computer system at ...