[hpc-announce] [CfP] Elsevier Parallel Computing - Special Issue (Open Call)

[Giovanni Agosta]

Parallel Computing (Elsevier)
Special Issue on Programming, Resource Management and Autotuning Tools
for Heterogeneous HPC

The complete CfP can be found in the Special Issue web page:
https://www.journals.elsevier.com/parallel-computing/call-for-papers/programming-resource-management-and-autotuning-tools

Call for Papers
Future High Performance Computing (HPC) systems face complex
challenges deriving from the push towards Exascale, the limits of the
power grid to support such large infrastructures, and emerging classes
of applications imposing quality of service requirements other than
pure throughput.

To address such challenges, heterogeneous computing architectures have
emerged as a solution to achieve both higher performance and lower
energy consumption. Their expression in the form of GPGPU and other
many-core accelerators coupled with traditional HPC processors
dominate the current Green500 and Top500 lists. Even higher degrees of
heterogeneity can be achieved by introducing reconfigurable fabrics
and/or application- or domain-specific accelerators.

The cost of heterogeneity lays in the complexity of management.
Writing and managing HPC application is already a challenging task,
requiring the cooperation of domain experts and HPC experts. The
introduction of heterogeneous architectures makes the development and
runtime management even more complex. Furthermore, at Exascale levels,
hardware failures become sufficiently likely that computations running
on such large infrastructure need to take them into account.

As a result, challenges include the management of heterogeneous
resources, energy efficiency of computation, as well as the capability
to meet timing constraints in face of transient or long time hardware
failures. To solve such issues, manual control of computing resource
will not suffice. New programming, resource management and autotuning
models and tools are needed to effectively tackle such challenges.

Papers submitted to the special issue should have a strong emphasis on
multi-node parallelism. Topics to be covered in this special issue
include, but are not limited to, the following:

  *  Runtime resource management for heterogeneous HPC systems;
  *  Power, thermal, and performance prediction and management;
  *  Programming models integrating parallelism at multi-node level
with other aspects, including resource management and access to
heterogeneous resources, access to advanced storage (e.g., converging
Big Data and HPC), fault management;
  *  Strategies, frameworks and methodologies for autotuning and
self-management of the application and system.

Perspective authors are invited to submit technical articles
describing previously unpublished, original, state-of-the-art research
and not currently under review by a conference or a journal. Works
based on previously published research should provide substantial new
content and clearly identify the novel contribution with respect to
previous works. In particular, we invite the authors of papers
presented at the 2017 and 2018 special sessions on European projects
on HPC held at the Computing Frontiers and SAMOS conference to submit
extended versions of their works.

Guest Editors
Dr.Giovanni Agosta, Politecnico di Milano
Dr.Antonino Tumeo, Pacific Northwest National Laboratory

Important Dates
Submission deadline: December 15, 2018
Acceptance deadline: July 31, 2019