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11th APSys 2020: Tsukuba, Japan
- Taesoo Kim, Patrick P. C. Lee:
APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, Tsukuba, Japan, August 24-25, 2020. ACM 2020, ISBN 978-1-4503-8069-0 - Juno Kim, Yun Joon Soh, Joseph Izraelevitz, Jishen Zhao, Steven Swanson:
SubZero: zero-copy IO for persistent main memory file systems. 1-8 - Gongjin Sun, Sang-Woo Jun:
ColumnBurst: a near-storage accelerator for memory-efficient database join queries. 9-16 - Youyun Wang, Chuzhe Tang, Zhaoguo Wang, Haibo Chen:
SIndex: a scalable learned index for string keys. 17-24 - Ryo Nakamura, Yohei Kuga, Kunio Akashi:
How beneficial is peer-to-peer DMA? 25-32 - Giorgos Kappes, Stergios V. Anastasiadis:
Libservices: dynamic storage provisioning for multitenant I/O isolation. 33-41 - Stefan Reif, Benedict Herzog, Fabian Hügel, Timo Hönig, Wolfgang Schröder-Preikschat:
Nearly symmetric multi-core processors. 42-49 - Matthias Hille, Nils Asmussen, Hermann Härtig, Pramod Bhatotia:
A heterogeneous microkernel OS for Rack-Scale systems. 50-58 - Mathias Gottschlag, Tim Schmidt, Frank Bellosa:
AVX overhead profiling: how much does your fast code slow you down? 59-66 - Jingde Chen, Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
Machine learning for load balancing in the Linux kernel. 67-74 - Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu:
Profiling and optimizing deep learning inference on mobile GPUs. 75-81 - Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang:
Saec: similarity-aware embedding compression in recommendation systems. 82-89 - Minsub Kim, Sungjin Lee:
Reducing tail latency of DNN-based recommender systems using in-storage processing. 90-97 - Jifei Yi, Benchao Dong, Mingkai Dong, Haibo Chen:
On the precision of precise event based sampling. 98-105 - Rengan Dou, Xin Wang, Richard T. B. Ma:
Towards application performance fairness on clouds. 106-113 - Yiran Li, Kevin Gao, Xin Jin, Wei Xu:
Concerto: cooperative network-wide telemetry with controllable error rate. 114-121 - Ryan Nathanael, Soenjoto Widodo, Hirotake Abe, Kazuhiko Kato:
HDRF: Hadoop data reduction framework for hadoop distributed file system. 122-129
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