An efficient graph accelerator with parallel data conflict management
Author:
Affiliation:
1. Huazhong University of Science and Technology, Wuhan, P.R. China
2. National University of Singapore, Singapore, Singapore
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3243176.3243201
Reference34 articles.
1. A scalable processing-in-memory accelerator for parallel graph processing
2. PIM-enabled instructions
3. Scans as primitive parallel operations
4. A Regular Layout for Parallel Adders
5. Automatic memory partitioning and scheduling for throughput and power optimization
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