July 31 — In collaboration with Supercomputing 2014, the WHPC network are running a half day workshop on Friday 21 November 2014 in New Orleans.
The workshop aims to address gender issues in HPC research and innovation, the challenges facing women and how gender inequality can impact efficacy of the scientific method and research quality. The workshop will include talks from female early career researchers and invited talks by world-leading women working in the field of HPC, describing the challenges facing women in HPC careers and how to improve the representation of women in supercomputing.
We welcome participation from everyone in the HPC community to discuss the most appropriate and beneficial actions that can be taken to address the gender imbalance in HPC and the strategies that could be adopted to achieve these goals.
Call for Papers
Closing date: Thursday 14 August 2014
As part of the workshop we invite submissions from female early career researchers (papers or posters) to present their work in a supportive environment that promotes the engagement of women in HPC research and applications, providing opportunities for peer to peer networking and the opportunity to interact with female role models.
Applicants must be female and either PhD candidates or early career researchers who have been awarded their PhD within 5 years of 1st November 2014.
Submissions are invited in the following categories:
- Extended abstract (max 500 words) on research in any area that utilises high performance computing;
- Short abstract (max 250 words) for a poster in any area that utilizes high performance computing.
How to Apply
Please email a PDF containing the following information to firstname.lastname@example.org(link sends e-mail):
- Application type (extended or short abstract);
- Name, affiliation;
- Current position (e.g. PhD candidate, post-doctural researcher, lecturer etc.) and year of PhD award (if applicable);
- Abstract (max 500 words for an extended abstract, max 250 words for short abstract).
Source: Women in High Performance Computing