scholarly journals CyberColombia: a Regional Initiative to Teach HPC and Computational Sciences

2021 ◽  
Vol 13 (2) ◽  
pp. 9
Author(s):  
Esteban Hernández Barragán

The series Summer School HPC Colombia is an initiative to extend high-performance computing-related knowledge in Colombia, and more widely in Latin America, and integrate expertise and research from academia and industry in the same event. This year’s edition, which is the third in the series, was carried out entirely online due to the outbreak of the COVID 19 pandemic during the first half of the year 2020. In this paper, we summarise the aims, development, deployment, and results of the Summer School HPC Colombia2020event. It is an example of the potential that the use of virtual tools and environments has to grow education for HPC

Author(s):  
Miguel A Vega-Rodríguez ◽  
Álvaro Rubio-Largo

Computational biology allows and encourages the application of many different parallelism-based technologies. This special issue brings together high-quality state-of-the-art contributions about parallelism-based technologies in computational biology, from different points of view or perspectives, that is, from diverse high-performance computing applications. The special issue collects considerably extended and improved versions of the best papers, accepted and presented in PBio 2015 (the Third International Workshop on Parallelism in Bioinformatics, and part of IEEE ISPA 2015 ). The domains and topics covered in these seven papers are timely and important, and the authors have done an excellent job of presenting the material.


MRS Bulletin ◽  
1997 ◽  
Vol 22 (10) ◽  
pp. 5-6
Author(s):  
Horst D. Simon

Recent events in the high-performance computing industry have concerned scientists and the general public regarding a crisis or a lack of leadership in the field. That concern is understandable considering the industry's history from 1993 to 1996. Cray Research, the historic leader in supercomputing technology, was unable to survive financially as an independent company and was acquired by Silicon Graphics. Two ambitious new companies that introduced new technologies in the late 1980s and early 1990s—Thinking Machines and Kendall Square Research—were commercial failures and went out of business. And Intel, which introduced its Paragon supercomputer in 1994, discontinued production only two years later.During the same time frame, scientists who had finished the laborious task of writing scientific codes to run on vector parallel supercomputers learned that those codes would have to be rewritten if they were to run on the next-generation, highly parallel architecture. Scientists who are not yet involved in high-performance computing are understandably hesitant about committing their time and energy to such an apparently unstable enterprise.However, beneath the commercial chaos of the last several years, a technological revolution has been occurring. The good news is that the revolution is over, leading to five to ten years of predictable stability, steady improvements in system performance, and increased productivity for scientific applications. It is time for scientists who were sitting on the fence to jump in and reap the benefits of the new technology.


Sign in / Sign up

Export Citation Format

Share Document