the IBM HPC Scientific Computing User Group
of Medicine at Mount Sinai
New York, NY
Apr 15,2016 – Abstract submissions due Accepted on a space-available basis
- Apr 18, 2016 – ScicomP author notification (*)
- May 22-27, 2016 – ScicomP/SPXXL meeting
- May 24, 2016 – Joint ScicomP/SPXXL day (subject to change)
Meeting registration deadlines to be announced.
(*) Early author notification is available on request.
CALL FOR ABSTRACTS
We seek original presentations by HPC application and software developers about recent discoveries, experiences, and lessons learned on IBM HPC products. Speakers will be chosen based on abstracts (1 page max) submitted to http://spscicomp.org/wordpress/scicomp2016/submissions by the deadline above. We invite submissions on applications topics (POWER, Blue Gene, System x, AIX, etc.) as well as system topics for Blue Gene.
ScicomP is an open-membership Working Group of SPXXL. ScicomP meetings target computational scientists and engineers interested in achieving maximum performance and scalability on all IBM HPC platforms, including the POWER, Blade, BlueGene, and Cell platforms. Presentations will be given by both HPC users and IBM staff. The focus of user presentations is on real world experiences in porting, tuning, and running codes on large-scale IBM systems; as well as systems-related topics for the Blue Gene platform. Topics may include (but are not limited to) code migration, scalable algorithms, hybrid programming models, exploiting system architectures, and scheduling and execution frameworks. IBM staff presentation topics include hardware and software road maps for large systems; application development support software tools; performance programming, measurement, analysis, and tuning techniques.
SPXXL is an organization with systems-oriented interests in large-scale scientific technical computing on IBM hardware. Information about the SPXXL meeting will be available on the private SPXXL member web site.
The Icahn School of Medicine at Mount Sinai is an international leader in medical and scientific training, biomedical research, and patient care. Scientific Computing accelerates scientific discovery through the effective use of high performance computing systems.
Raymond Loy, Argonne Leadership Computing Facility