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Chapter and Conference Paper
AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking
AI benchmarking provides yardsticks for benchmarking, measuring and evaluating innovative AI algorithms, architecture, and systems. Coordinated by BenchCouncil, this paper presents our joint research and engin...
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Chapter and Conference Paper
Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for edge computing benchmarking, ...
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Chapter and Conference Paper
The Implementation and Optimization of Matrix Decomposition Based Collaborative Filtering Task on X86 Platform
With the rapid development of the information age, the recommendation system becomes more and more significant to help people find hidden information from the big dataset in daily lives. Collaborative filterin...