Programming for Heterogeneous and Embedded Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 2984
Special Issue Editors
Interests: parallel and distributed computing; parallel programming models; embedded computing
Special Issue Information
Dear Colleagues,
Many computing platforms are currently combining different kinds of computing devices in the same system. They can include multicore CPUs with complex memory hierarchies, massive accelerators such as GPUs, specialized computing units for specific fields such as deep learning, or reconfigurable hardware devices such as FPGAs. These different types of devices are combined to build a range of systems from high-end supercomputers to embedded consumer-electronics systems.
Programming high-performance applications that exploit such parallel, complex, and heterogeneous machines is challenging; it frequently requires a mix of different programming models and languages and is plagued by architecture dependent decisions that compromise portability. New programming models and tools are being proposed. Nevertheless, there is still a long way to go to achieve simple, homogeneous, and productive programming environments for this diverse computing landscape. Contributions on all layers of programming and execution systems for heterogeneous computing are key to develop high-performance applications on modern and future computing platforms.
The aim of this Special Issue is to promote advancement in the following topics:
- Heterogeneous programming, including multicore CPUs, accelerators, and/or domain specific architectures;
- Parallel programming models and languages;
- High-level system synthesis techniques;
- High-performance compiling and code generation;
- Run-time systems for heterogeneous platforms;
- Parallel programming, debugging, and profiling tools;
- Programming for resilience;
- Code and performance portability;
- Reconfigurable and embedded computing;
- New programming and computing paradigms.
Prof. Dr. Arturo Gonzalez-Escribano
Dr. Yuri Torres
Guest Editors
Manuscript Submission Information
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Keywords
- heterogeneous systems
- high-level parallel programming
- programming models, languages, and tools
- code and performance portability
- accelerators
- reconfigurable and embedded computing
