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EuroSys 2020: Heraklion, Greece
- Angelos Bilas, Kostas Magoutis, Evangelos P. Markatos, Dejan Kostic, Margo I. Seltzer:
EuroSys '20: Fifteenth EuroSys Conference 2020, Heraklion, Greece, April 27-30, 2020. ACM 2020, ISBN 978-1-4503-6882-7
Cloud computing/systems for ML/ML for systems I
- Shubham Chaudhary
, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Srinidhi Viswanatha:
Balancing efficiency and fairness in heterogeneous GPU clusters for deep learning. 1:1-1:16 - Liangyi Gong, Zhenhua Li, Feng Qian, Zifan Zhang, Qi Alfred Chen, Zhiyun Qian, Hao Lin
Experiences of landing machine learning onto market-scale mobile malware detection. 2:1-2:14
Kernel/efficient data structures/programming languages and verification I
- Baptiste Lepers, Redha Gouicem
Provable multicore schedulers with Ipanema: application to work conservation. 3:1-3:16 - Charalampos Stylianopoulos, Ivan Walulya, Magnus Almgren
Delegation sketch: a parallel design with support for fast and accurate concurrent operations. 4:1-4:16 - Andreia Correia, Pascal Felber
Persistent memory and the rise of universal constructions. 5:1-5:15 - Jan Nordholz:
Design of a symbolically executable embedded hypervisor. 6:1-6:16 - Meni Orenbach, Andrew Baumann, Mark Silberstein:
Autarky: closing controlled channels with self-paging enclaves. 7:1-7:16
Kernel/efficient data structures/programming languages and verification II
- Alex Kogan, Dave Dice, Shady Issa
Scalable range locks for scalable address spaces and beyond. 8:1-8:15 - Yuvraj Patel, Leon Yang, Leo Prasath Arulraj, Andrea C. Arpaci-Dusseau
Avoiding scheduler subversion using scheduler-cooperative locks. 9:1-9:17 - Chi Li, Shu Wang
Statically inferring performance properties of software configurations. 10:1-10:16 - Hsuan-Chi Kuo, Dan Williams, Ricardo Koller, Sibin Mohan:
A Linux in unikernel clothing. 11:1-11:15
Cloud computing/systems for ML/ML for systems II
- Amir Hossein Nodehi Sabet, Zhijia Zhao, Rajiv Gupta
Subway: minimizing data transfer during out-of-GPU-memory graph processing. 12:1-12:16 - Kasra Jamshidi
Peregrine: a pattern-aware graph mining system. 13:1-13:16 - Emmanuel Amaro, Christopher Branner-Augmon, Zhihong Luo, Amy Ousterhout, Marcos K. Aguilera, Aurojit Panda, Sylvia Ratnasamy, Scott Shenker:
Can far memory improve job throughput? 14:1-14:16 - Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez
A fault-tolerance shim for serverless computing. 15:1-15:15 - Krzysztof Rzadca, Pawel Findeisen, Jacek Swiderski, Przemyslaw Zych, Przemyslaw Broniek, Jarek Kusmierek, Pawel Nowak, Beata Strack
Autopilot: workload autoscaling at Google. 16:1-16:16 - Adriana Szekeres, Michael J. Whittaker, Jialin Li, Naveen Kr. Sharma, Arvind Krishnamurthy
Meerkat: multicore-scalable replicated transactions following the zero-coordination principle. 17:1-17:14
Scheduling/resilience/security in the cloud
- Wenjia Zhao, Kangjie Lu, Yong Qi, Saiyu Qi:
MPTEE: bringing flexible and efficient memory protection to Intel SGX. 18:1-18:15 - Laiping Zhao, Yanan Yang
Rhythm: component-distinguishable workload deployment in datacenters. 19:1-19:17 - Tatiana Jin, Zhenkun Cai, Boyang Li, Chengguang Zheng, Guanxian Jiang, James Cheng:
Improving resource utilization by timely fine-grained scheduling. 20:1-20:16 - Hyungjun Oh, Bongki Cho, Changdae Kim, Heejin Park, Jiwon Seo:
AniFilter: parallel and failure-atomic cuckoo filter for non-volatile memories. 21:1-21:15 - Jingwei Li
Balancing storage efficiency and data confidentiality with tunable encrypted deduplication. 22:1-22:15
Networking/distributed systems/storage systems/NVM
- Paulo Gouveia, João Neves, Carlos Segarra, Luca Liechti, Shady Issa
Kollaps: decentralized and dynamic topology emulation. 23:1-23:16 - Vitor Enes
State-machine replication for planet-scale systems. 24:1-24:15 - Marios Kogias, Edouard Bugnion:
HovercRaft: achieving scalability and fault-tolerance for microsecond-scale datacenter services. 25:1-25:17 - Eitan Rosenfeld, Aviad Zuck, Nadav Amit
RAIDP: replication with intra-disk parity. 26:1-26:17 - Eran Gilad, Edward Bortnikov, Anastasia Braginsky, Yonatan Gottesman, Eshcar Hillel, Idit Keidar, Nurit Moscovici, Rana Shahout:
EvenDB: optimizing key-value storage for spatial locality. 27:1-27:16 - Robert Schmid, Max Plauth
Accessible near-storage computing with FPGAs. 28:1-28:12 - David Sidler, Zeke Wang, Monica Chiosa
StRoM: smart remote memory. 29:1-29:16
Cloud computing/systems for ML/ML for systems III
- Muhammad Tirmazi, Adam Barker, Nan Deng, Md E. Haque, Zhijing Gene Qin, Steven Hand, Mor Harchol-Balter
Borg: the next generation. 30:1-30:14 - Tan N. Le, Xiao Sun, Mosharaf Chowdhury, Zhenhua Liu:
AlloX: compute allocation in hybrid clusters. 31:1-31:16 - James Cadden, Thomas Unger, Yara Awad, Han Dong
SEUSS: skip redundant paths to make serverless fast. 32:1-32:15 - Shichang Xu, Subhabrata Sen, Z. Morley Mao:
CSI: inferring mobile ABR video adaptation behavior under HTTPS and QUIC. 33:1-33:16
Kernel/efficient data structures/programming languages and verification III
- Yingtong Liu, Hsin-Wei Hung, Ardalan Amiri Sani:
Mousse: a system for selective symbolic execution of programs with untamed environments. 34:1-34:15 - Nadav Amit
Don't shoot down TLB shootdowns! 35:1-35:14 - Anil Altinay, Joseph Nash, Taddeus Kroes
BinRec: dynamic binary lifting and recompilation. 36:1-36:16 - Seongjae Park, Paul E. McKenney, Laurent Dufour, Heon Y. Yeom:
An HTM-based update-side synchronization for RCU on NUMA systems. 37:1-37:15 - Dayeol Lee, David Kohlbrenner, Shweta Shinde
Keystone: an open framework for architecting trusted execution environments. 38:1-38:16 - Ankur Dave, Chester Leung, Raluca Ada Popa, Joseph E. Gonzalez
Oblivious coopetitive analytics using hardware enclaves. 39:1-39:17
Cloud computing/systems for ML/ML for systems IV
- Arya Mazaheri
Accelerating winograd convolutions using symbolic computation and meta-programming. 40:1-40:14 - Guangyuan Piao
Env2Vec: accelerating VNF testing with deep learning. 41:1-41:16 - Bo Sang, Pierre-Louis Roman
PLASMA: programmable elasticity for stateful cloud computing applications. 42:1-42:15 - Daniele Rogora, Antonio Carzaniga
Analyzing system performance with probabilistic performance annotations. 43:1-43:14
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