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Designed for professionals with operating systems fundamentals, this book bridges cutting-edge research with practical implementation, where big memory's unique characteristics (persistence at DRAM speeds, massive capacity, and fine-grained access) demand fundamentally new architectural approaches. Learn how to achieve faster queries with learned indexes in the disaggregated memory, how to optimize cuckoo hashing for persistent memory's asymmetric costs, and why the latest GPUs incorporate these persistence techniques. This book also provides efficient and useful toolkits: the RDMA protocols have been adopted in storage tiers, while the lock-free designs improve real-time recommendation systems. Whether building cloud-native databases, low-latency recommendation systems, or memory-driven AI services, these solutions will help exploit the full potential of the big memory.
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Dr.Yu Hua is a Professor in Huazhong University of Science and Technology. His research interests include cloud storage systems, file systems, non-volatile memory architectures, big memory, etc. His papers have been published in major conferences and journals, including OSDI, FAST, MICRO, ASPLOS, VLDB, USENIX ATC, HPCA. He is the Associate Editor in ACM Transactions on Storage (TOS) (2023-). He serves as PC (vice) Chairs in ICDCS 2021, ACM APSys 2019, and ICPADS 2016, as well as PC in OSDI, SIGCOMM, FAST, NSDI, ASPLOS, MICRO. He received the Best Paper Awards in FAST 2023, IEEE/ACM IWQoS 2023 and IEEE HPCC 2021. He is the distinguished member of CCF, and senior member of ACM and IEEE. He has been selected as the Distinguished Speaker of ACM and CCF
