PapersToRead(for a seminar)
 Share
The version of the browser you are using is no longer supported. Please upgrade to a supported browser.Dismiss

 
Comment only
 
 
ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
TitleBookYearPresentedLink
2
SpotADAPT: Spot-Aware Deployment of Analytical Processing Tasks on Amazon EC2DOLAP2015X
https://dl.acm.org/citation.cfm?id=2811222.2811227
3
Packing Light: Portable Workload Performance Prediction for the CloudICDEW2013O
http://ieeexplore.ieee.org/document/6547460/
4
Cost efficient gradient boostingNIPS2017X
http://papers.nips.cc/paper/6753-cost-efficient-gradient-boosting.pdf
5
LightGBM: A Highly Efficient Gradient Boosting Decision TreeNIPS2017X
http://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree.pdf
6
Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts ApproachMiddleware2017O
https://dl.acm.org/citation.cfm?id=3135984
7
Transparent Avoidance of Redundant Data Transfer on GPU-enabled Apache SparkGPGPU2018X
https://dl.acm.org/citation.cfm?id=3180276
8
Amdahl's Law in the Datacenter Era: A Market for Fair Processor AllocationHPCA2018X
https://users.cs.duke.edu/~zahedi/pub/hpca18.pdf
9
Triple-H: A Hybrid Approach to Accelerate HDFS on HPC Clusters with Heterogeneous Storage ArchitectureCCGrid2015X
http://ieeexplore.ieee.org/abstract/document/7152476/
10
Tachyon: Reliable, Memory Speed Storage for Cluster Computing FrameworksSOCC2014O
https://dl.acm.org/citation.cfm?id=2670985
11
The use of a modified Fedorov exchange algorithm to optimise sampling times for population pharmacokinetic experiments
Computer Methods and Programs in Biomedicine
2005X
https://www.sciencedirect.com/science/article/pii/S016926070500146X
12
Design of Experiments: The D-Optimal Approach and Its Implementation As a Computer Algorithmthesis2008X
http://www8.cs.umu.se/education/examina/Rapporter/FabianTtriefenbach.pdf
chpater 3 discusses how to implement d-optimal design (including Fedorov)
13
Skyway: Connecting Managed Heaps in Distributed Big Data SystemsASPLOS2018X
https://people.cs.uchicago.edu/~shanlu/paper/asplos18_skyway.pdf
14
Performance Analysis of Cloud ApplicationsNSDI2018X
https://www.usenix.org/system/files/conference/nsdi18/nsdi18-ardelean.pdf
15
Dione: Profiling spark applications exploiting graph similarityBigData2017O
https://ieeexplore.ieee.org/abstract/document/8257950/
16
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-TimeWWW2018X
https://dl.acm.org/citation.cfm?id=3186183
17
Algorithmic Glass Ceiling in Social Networks: The effects of social recommendations on network diversityWWW2018X
https://dl.acm.org/citation.cfm?id=3186140
18
Fact Store at Scale for Netflix RecommendationsSpark Summit2018X
https://databricks.com/session/fact-store-scale-for-netflix-recommendations?mkt_tok=eyJpIjoiWW1Oa056RTVaVEpqTkRVMSIsInQiOiJTNytUVUlxTlYxaTZyenU0K1lLQk9Gck55bml0QnJGN2dKNDk1Rk82NUNnMkg3YkhiSFdVNGhiaHM4aTZPcHhXdTN2RDg5QjlXNUtvd1hHY2VWWnhpbjRkZlhHcnVMdXh1d0JPZEdERDYxeG01MENDbit5ZlFacXI4b1wvaXhiazAifQ%3D%3D
19
Service Fabric: A Distributed Platform for Building Microservices in the CloudEurosys2018X
https://dl.acm.org/citation.cfm?id=3190546
20
Reducing DRAM footprint with NVM in FacebookEurosys2018X
https://dl.acm.org/citation.cfm?id=3190524
21
Optimus: an efficient dynamic resource scheduler for deep learning clustersEurosys2018X
https://dl.acm.org/citation.cfm?id=3190517
22
Medea: scheduling of long running applications in shared production clustersEurosys2018X
https://dl.acm.org/citation.cfm?id=3190549
23
High-Performance Design of Apache Spark with RDMA and Its Benefits on Various WorkloadsBigData2016X
https://ieeexplore.ieee.org/abstract/document/7840611/
24
SOCK: Rapid Task Provisioning with Serverless-Optimized ContainersATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-oakes.pdf
25
Peeking Behind the Curtains of Serverless PlatformsATC2018O
https://www.usenix.org/system/files/conference/atc18/atc18-wang-liang.pdf
26
Locality-Aware Software Throttling for Sparse Matrix Operation on GPUsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-chen-yanhao.pdf
27
On the diversity of cluster workloads and its impact on research resultsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-amvrosiadis.pdf
28
SLAOrchestrator: Reducing the Cost of Performance SLAs for Cloud Data AnalyticsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-ortiz.pdf
29
Albis: High-Performance File Format for Big Data SystemsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-trivedi.pdf
30
Litz: Elastic Framework for High-Performance Distributed Machine LearningATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-qiao.pdf
31
Selecta: Heterogeneous Cloud Storage Configuration for Data AnalyticsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-klimovic-selecta.pdf
32
Remote regions: a simple abstraction for remote memoryATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-aguilera.pdf
33
Understanding Ephemeral Storage for Serverless AnalyticsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-klimovic-serverless.pdf
34
SAND: Towards High-Performance Serverless ComputingATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-akkus.pdf
35
Metis: Robustly Tuning Tail Latencies of Cloud SystemsATC2018X
https://www.usenix.org/system/files/conference/atc18/atc18-li-zhao.pdf
36
Serverless Data Analytics with FlintCloud2018X
37
Exploring Serverless Computing for Neural Network TrainingCloud2018X
38
Evaluation of Production Serverless Computing EnvironmentsCloud2018X
39
Making Serverless Computing More ServerlessCloud2018X
40
Performance and Behavior Characterization of Amazon EC2 Spot InstancesCloud2018X
41
Estimating Cloud Application Performance Based on Micro-Benchmark ProfilingCloud2018X
42
Performance Evaluation of Low Latency Communication Alternatives in a Containerized Cloud EnvironmentCloud2018X
43
FIOS: Feature Based I/O Stream Identification for Improving Endurance of Multi-Stream SSDsCloud2018X
44
A Comparative Study of Containers and Virtual Machines in Big Data EnvironmenCloud2018O
45
Data Plane Offloading on a High-speed Parallel Processing ArchitectureCloud2018X
46
Migrating VM Workloads to Containers: Issues and ChallengesCloud2018X
47
Micky: A Cheaper Alternative for Selecting Cloud InstancesCloud2018X
48
Towards Automatic Tuning of Apache Spark ConfigurationCloud2018X
49
Toward Cost-effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical MemoryCloud2018O
50
Performance Evaluation of a MongoDB and Hadoop Platform for Scientific Data AnalysisScienceCloud2013O
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.643.3630&rep=rep1&type=pdf
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
Loading...
Main menu