Held in conjunction with the International Conference on Computational Science (ICCS 2019)
Faro, Algarve, Portugal, 12-14 June 2019

The International Conference on Computational Science is an annual conference that brings together researchers and scientists

from mathematics and computer science as basic computing disciplines, researchers from various application areas who are pioneering

computational methods in sciences such as physics, chemistry, life sciences, and engineering, as well as in arts and humanitarian fields,

to discuss problems and solutions in the area, to identify new issues, and to shape future directions for research.

ICCS is an A-rank conference in the CORE classification.

The future aims toward increasing parallelism and heterogeneity of
systems to tackle the so-called power-wall while permitting a roadmap
of increased performance. Several challenges rise for programming such
systems. The ALCHEMY workshop goal is to show some of these relevant
challenges and finding ways to tackle them, while permitting programmers
to focus on important part of application designs and letting compilers
or runtime optimization do most of the work toward good performance.

ALCHEMY is the track of ICCS addressing new distributed and parallel
systems for compute-intensive applications, including heterogeneous
aspects. It is also a good place of exchange between the traditional
HPC domain of research and all the emerging HPES (High-Performance
Embedded Systems) domain, since the programming issues are mostly the
same, with a relatively high cost of communication and the difficulty
to program hundreds of cores often under performance and power usage
constraints.

Original high quality submission are encouraged on all topics related to
parallel and distributed programming issues including (but not limited to):

* High-level Programming
 * Programming models and languages
 * Compilers for programming languages
 * Runtime generation for parallel programming
 * Handling heterogeneity in parallel and distributed systems

* Operational research and optimizations
 * Application, runtime, system and hardware sizing
 * Task scheduling
 * Task placement, application mapping

* System and runtime
 * New operating systems, dedicated OS
 * Dedicated runtimes
 * Shared memory, data consistency models and protocols

* Hardware architecture
 * Architecture support for massive parallelism management
 * Specific or reconfigurable accelerators (use of FPGA), many-cores
 * Enhanced communications
 * New memory technologies (NVRAM)

* Security
 * Accelerators for security
 * Crypto systems

* In-situ systems and user experimentations
 * User feedback on existing architectures
 * Heterogeneous integration within HPC systems (micro-servers)
 * Coping with heterogeneity at the user level