Randy H. Katz
University of California, Berkeley
Professor
Department of Electrical Engineering and Computer Sciences
Research Area
#Computer science#Scalability#Engineering#Cloud computing#Embedded system#Scheduling (computing)#Workload#Data collection#Mobile computing#Artificial intelligence
SCIE paper information
Papers relevant to ‘Computer science’: 5
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Multi-task learning for straggler avoiding predictive job scheduling
2016/01 JOURNAL OF MACHINE LEARNING RESEARCH 5 Impact Factor 23 citations
Core Concepts, Challenges, and Future Directions in Blockchain: A Centralized Tutorial
2020/02 ACM COMPUTING SURVEYS 10.282 Impact Factor 17 citations
Papers for author ‘Randy H. Katz’: 6
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Multi-task learning for straggler avoiding predictive job scheduling
2016/01 JOURNAL OF MACHINE LEARNING RESEARCH 5 Impact Factor 23 citations
Moving academic research forward during COVID-19.
2020/06 SCIENCE 47.728 Impact Factor 22 citations
conference information
Papers relevant to ‘Computer science’: 5
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Firesim: FPGA-accelerated cycle-exact scale-out system simulation in the public cloud
2018/06 ISCA Top-tier Conference 97 citations
MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency
2018/11 SENSYS Top-tier Conference 23 citations
Papers for author ‘Randy H. Katz’: 5
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Firesim: FPGA-accelerated cycle-exact scale-out system simulation in the public cloud
2018/06 ISCA Top-tier Conference 97 citations
MARVEL: Enabling Mobile Augmented Reality with Low Energy and Low Latency
2018/11 SENSYS Top-tier Conference 23 citations
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