K
Kai Li
Researcher at Princeton University
Publications - 328
Citations - 76948
Kai Li is an academic researcher from Princeton University. The author has contributed to research in topics: Computer science & Cache. The author has an hindex of 76, co-authored 220 publications receiving 56127 citations. Previous affiliations of Kai Li include EMC Corporation & Baylor College of Medicine.
Papers
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Proceedings ArticleDOI
ImageNet: A large-scale hierarchical image database
TL;DR: A new database called “ImageNet” is introduced, a large-scale ontology of images built upon the backbone of the WordNet structure, much larger in scale and diversity and much more accurate than the current image datasets.
Proceedings ArticleDOI
The PARSEC benchmark suite: characterization and architectural implications
TL;DR: This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark suite for studies of Chip-Multiprocessors (CMPs), and shows that the benchmark suite covers a wide spectrum of working sets, locality, data sharing, synchronization and off-chip traffic.
Proceedings ArticleDOI
Search and replication in unstructured peer-to-peer networks
TL;DR: This paper proposes a query algorithm based on multiple random walks that resolves queries almost as quickly as Gnutella's flooding method while reducing the network traffic by two orders of magnitude in many cases.
Journal ArticleDOI
Memory coherence in shared virtual memory systems
Kai Li,Paul Hudak +1 more
TL;DR: Both theoretical and practical results show that the memory coherence problem can indeed be solved efficiently on a loosely coupled multiprocessor.
Benchmarking modern multiprocessors
Kai Li,Christian Bienia +1 more
TL;DR: A methodology to design effective benchmark suites is developed and its effectiveness is demonstrated by developing and deploying a benchmark suite for evaluating multiprocessors called PARSEC, which has been adopted by many architecture groups in both research and industry.