Using Modern Code to Simulate Brain Development: Interview with Lukas Breitweiser, Intern at CERN openlab
Lukas Breitweiser discusses the importance of applying modern code and parallel computing to drive scientific exploration and discoveries in the context of his CERN openlab internship. An internsh
Mathieu Gravey 介绍了他的英特尔® 现代代码开发人员挑战赛参赛之旅，以及获得奖品 — CERN openlab 实习机会的喜悦。 在参赛过程中，他将现代代码和基于英特尔至强处理器的并行计算应用于优化大脑模拟代码，并将其性能提升了高达 32,000%。 对于此次实习，他希望与世界顶尖的研究科学家合作实现生物和信息系统的融合。
Episode 3 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel architectures” introduces data parallelism and automatic vectorization.
Episode 4 of the hands-on workshop (HOW) series on parallel programming and optimization with Intel architectures introduces thread parallelism and the parallel framework OpenMP.
HPC codes have used MPI and similar models to scale to multiple nodes, but increasingly parallelism is also required within a node, and even within a single core
Episode 7 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel architectures” is Part 1 (of 2) of a series on the optimization of multi-threaded applications.
This tutorial introduces the basic hardware and software architecture of the Intel Xeon Phi coprocessor, describing their general features, and provides a first view of the various programming mode
In Episode 10 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel® architectures” we present additional topics on optimization.