Hardware accelerators are rapidly becoming a central architectural feature to improve computation power performance. CPU ISA extensions, custom-designed engines, and FPGA-based systems have been proposed as acceleration architectures to improve program execution in scientific, machine-learning, database, and other application domains. Although much effort has been devoted to the design of accelerators, there is still a large gap of knowledge on how to make effective use of and compile for such architectures. As history has already taught us, having a great architecture is only half of the path to designing an efficient computing machine. Understanding the techniques required for quality code generation is central to the long-term establishment of an acceleration-based architectural paradigm.
This special issue of IEEE Micro will explore academic and industrial research on topics that relate to compiling for accelerators. Topics of interest include, but are not limited to:
- Compiling for CPU ISA extensions
- Code generation for neural processing units
- Compiling for neural network training
- Programming linear algebra engines
- Code generation and programming for database accelerators
- Processor-accelerator interface design and programmability
- Compiling for energy efficiency
- Pattern matching and code replacement for acceleration instructions
- High-level synthesis design of custom engines
- DSL and parallel programming models for accelerators
- Compiler intermediate representation (IR) and optimization techniques for accelerators
- Programming FPGAs for custom computing engines
- Tools and libraries to support code generation for accelerators
Submission Deadline: December 22, 2021
Initial notifications: March 15, 2022
Revised papers due: April 8, 2022
Final notifications: May 13, 2022
Final versions due: May 31, 2022
Publication: July/August 2022
Please see the Author Information page and the Magazine Peer Review page for more information. Please submit electronically through ScholarOne Manuscripts, selecting this special-issue option.
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