Heterogeneous Computing Solutions
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 June 2024) | Viewed by 2474
Special Issue Editor
Interests: high performance computing; parallel programming; linear algebra; computational fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
While computing technologies have remained relatively stable for nearly two decades, new architectural features, such as specialized hardware, heterogeneous cores, deep memory hierarchies, and near-memory processing, have emerged as possible solutions to address the concerns of energy efficiency, manufacturability, and cost. However, we expect this ‘golden age’ of architectural change to lead to extreme heterogeneity, and it will have a major impact on software systems and applications. In this upcoming exascale and extreme heterogeneity era, it will be critical to explore new software approaches that will enable us to effectively exploit this diverse hardware to advance science, and next-generation systems with heterogeneous elements will need to accommodate complex workflows. This is mainly due to the many forms of heterogeneous accelerators (no longer just GPU accelerators) in this heterogeneous era, and the need for mapping different parts of an application onto elements most appropriate for that application component.
The goal of this Special Issue is to provide a forum to discuss new and emerging solutions to address these important challenges in the upcoming extreme heterogeneity era. Papers are being sought on many aspects of heterogeneous computing, including (but not limited to):
Heterogeneous programming environments and runtime systems
- Programming models and systems
- Parallel resource management on heterogeneous systems
- Automated parallelization and compiler techniques (Autotuning)
Heterogeneous solutions for HPC and scientific applications
- Parallel and distributed algorithms
- Parallel libraries and frameworks
- Parallel processing on heterogeneous systems
Heterogeneous (including non-von Neuman) architectures
- Power/energy management
- Heterogeneous architectures for emerging application domains
- Architecture designs including non-von Neuman architectures, memory and interconnection Reliability/benchmarking/measurements
- Debugging, performance tools and techniques
- Fault tolerance and resilience
- Application/hardware benchmarks
Dr. Pedro Valero-Lara
Guest Editor
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Keywords
- heterogeneous computing
- programing
- scientific applications
- hardware
- CPU+GPU
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