Held in conjunction with the International Conference on Computational Science (ICCS 2018)
Wuxi, China, 11-13 June 2018

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.

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.

The ALCHEMY workshop is the Many-core track of ICCS. 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
many-core programming issues including (but not limited to):

* High-level Programming
 * Programming models and languages for many-cores
 * Compilers for programming languages
 * Runtime generation for parallel programming on manycores
 * Handling heterogeneity in many-cores

* 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 for manycores
 * Shared memory, data consistency models and protocols

* Hardware architecture
 * Architecture support for massive parallelism management
 * Enhanced communications

* Security
 * Accelerators for security
 * Crypto systems for manycores

* In-situ systems and user experimentations
 * User feedback on existing manycore architectures
 * Many-core integration within HPC systems (micro-servers)
 * Coping with heterogeneity