Computer designers have traditionally separated the role of storage and compute units. Memories and caches stored data. Processor’s logic units computed on the data. Is this separation necessary? A human brain does not separate the two so distinctly. Why should a processor? The in/near-memory computing paradigm blurs this distinction and imposes the dual responsibility on memory substrates: storing and computing on data. Modern processors and accelerators have over 90% of their aggregate silicon area dedicated to memory. In/near-memory processing converts these memory units into powerful allies for massively parallel computing, which can accelerate a plethora of applications including neural networks, graph processing, data analytics, and genome sequencing. Further, these architectures offer an order of magnitude higher bandwidth to access data, and shave off data-movement costs.
This special issue of IEEE Micro will explore academic and industrial research on topics that relate to in-memory computing. Topics include, but are not limited to:
- In/near-memory architectures for general-purpose processing
- In/near-memory domain-specific accelerator architectures for machine learning, graph processing, data analytics, genomics, and other exciting applications
- Emerging memory technologies for in/near-memory computing
- Evaluation of industry/academic in/near-memory prototypes
- Programming models, compilers, and data-offloading architectures
- Interaction of in/near-memory components with CPU architecture
- Multi-tier memory hierarchy architectures for in/near-memory computing
- Memory bottlenecks for emerging data-centric applications
- Memory-centric automata processing
- In/near-memory computing for edge/IoT/embedded systems
- Security implications of in/near-memory computing
Submission deadline: April 27, 2021
Initial notifications: June 29, 2021
Revised papers due: August 3, 2021
Final notifications: August 24, 2021
Final versions due: September 14, 2021
Publication: November/December 2021
For the manuscript submission, acceptable file formats include Microsoft Word and PDF. Manuscripts should not exceed 5,000 words including references, with each average-size figure counting as 250 words toward this limit. Please include all figures and tables, as well as a cover page with author contact information (name, postal address, phone, fax, and email address) and a 200-word abstract. Submitted manuscripts must not have been previously published or currently submitted for publication elsewhere, and all manuscripts must be cleared for publication. All previously published papers must have at least 30% new content compared to any conference (or other) publication. Accepted articles will be edited for structure, style, clarity, and readability. Read IEEE Micro‘s full submission guidelines.
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