When Calvin computer science professor Joel Adams launched Calvin’s first parallel computing course in the late ’90s, the field was “an esoteric elective kind of thing.”Supercomputers, the main ...

Parallel computing for differential equations has emerged as a critical field in computational science, enabling the efficient simulation of complex physical systems governed by ordinary and partial ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

Nvidia Corporation's parallel computing platform, CUDA, is a key factor in the company's competitive advantage, with exponential growth showcased at COMPUTEX 2023, boasting over four million ...

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HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...