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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.

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Virtual memory primitives for user programs

TL;DR: This work surveys several user-level algorithms that make use of page-protection techniques, and analyzes their common characteristics in an attempt to answer the question, "What virtual-memory primitives should the operating system provide to user processes, and how well do today's operating systems provide them?"
Proceedings ArticleDOI

Storage alternatives for mobile computers

TL;DR: This paper investigates three alternative storage devices for mobile computers: magnetic hard disks, flash memory disk emulators, and flash memory cards and shows that flash memory can reduce energy consumption by an order of magnitude, compared to magnetic disk, while providing good read performance and acceptable write performance.
Journal ArticleDOI

Proteogenomic Characterization of Endometrial Carcinoma.

Yongchao Dou, +219 more
- 20 Feb 2020 - 
TL;DR: A comprehensive proteogenomic characterization of endometrial carcinomas revealed possible new consequences of perturbations to the p53 and Wnt/β-catenin pathways, identified a potential role for circRNAs in the epithelial-mesenchymal transition, and provided new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways.
Proceedings ArticleDOI

Performance evaluation of two home-based lazy release consistency protocols for shared virtual memory systems

TL;DR: Overlapped Home-based LRC takes advantage of the communication processor found on each node of the Paragon to take advantage of some of the protocol overhead of HLRC from the critical path followed by the compute processor, and it is shown that OHLRC provides modest improvements over HLRC.
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Building and using a scalable display wall system

TL;DR: Princeton's scalable display wall project explores building and using a large-format display with commodity components as mentioned in this paper, and the prototype system has been operational since March 1998, with the goal of constructing a collaborative space that fully exploits a large format display system with immersive sound and natural user interfaces.