基本信息
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职业迁徙
个人简介
RESEARCH INTERESTS
Accelerating Statistical Machine Learning
Novel computer architectures targeted at machine learning problems that rely on Markov Chain Monte Carlo techniques and probabilistic computing in general.
Multicore/multiprocessor and Distributed Systems (including data centers)
Cache coherence protocols, memory consistency, runtime systems to expose and exploit parallelism. I also explore the use of new hardware technology in data centers.
Architectures for Emerging Technologies
Computational paradigms enabled by new technologies.
Memory Systems
General aspects of memory hierarchies such as cache design, prefetching, latency tolerance, etc.
Energy Efficient Computing
Processor and memory design, operating system support.
Accelerating Statistical Machine Learning
Novel computer architectures targeted at machine learning problems that rely on Markov Chain Monte Carlo techniques and probabilistic computing in general.
Multicore/multiprocessor and Distributed Systems (including data centers)
Cache coherence protocols, memory consistency, runtime systems to expose and exploit parallelism. I also explore the use of new hardware technology in data centers.
Architectures for Emerging Technologies
Computational paradigms enabled by new technologies.
Memory Systems
General aspects of memory hierarchies such as cache design, prefetching, latency tolerance, etc.
Energy Efficient Computing
Processor and memory design, operating system support.
研究兴趣
论文共 7 篇作者统计合作学者相似作者
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ACM SIGARCH Computer Architecture Newsno. 4 (1993): 8-10
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