This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel ...

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 ...

Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...

While there are not many neuromorphic hardware makers, those on the market (or in the research device sphere) are still looking for ways to run more mainstream workloads. The architecture is aligned ...

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 ...