Seminars
About Seminar
We have talks about topics regarding big data, including serverless computing, algorithms, performance analysis, and large-scale platofrms.
Currently, the seminar information is as follows:
- Every Monday (2020.01.11~)
- 14:30 - 16:00
- G-LAB(623), Future Hall, Kookmin University (or Zoom)
- Topic: ACM Symposium on Cloud Computing 2020 (SoCC '20) Papers
Students who are interested can attend seminars
Schedule
| Date | Presenter | Topic | Link | Presentation |
|---|---|---|---|---|
| 2021-05-31 | 이성재 | RubberBand: Cloud-based Hyperparameter Tuning | paper | ppt |
| 2021-05-24 | 박정애 | Serverless Linear Algebra | paper | ppt |
| 2021-04-26 | 허윤서 | Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments | paper | ppt |
| 2021-04-12 | 최운호 | Improving the Accuracy, Adaptability, and Interpretability of SSD Failure Prediction Models | paper | ppt |
| 2021-04-05 | 손태선 | Early Exit에 대하여 | paper | ppt |
| 2021-03-29 | 이성재 | Once for All: Train One Network and Specialize it for Efficient Deployment | paper | ppt |
| 2021-03-22 | 박수빈 | Personalizing Session-Based Recommendations with Hierarchical Recurrent Neural Networks | paper | ppt |
| 2021-03-15 | 박수빈 | Session-Based Recommendations with Recurrent Neural Networks | paper | ppt |
| 2021-03-08 | 박정애 | Occupy the Cloud: Distributed Computing for the 99% | paper | ppt |
| 2021-02-22 | 최재강 | Wukong: a scalable and locality-enhanced framework for serverless parallel computing | paper | ppt |
| 2021-02-15 | 허윤서 | Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors | paper | ppt |
| 2021-02-08 | 이성재 | PaGraph: Scaling GNN Training on Large Graph via Computation-aware Caching | paper | ppt |
| 2021-02-01 | 최운호 | Making Edge Computing Resilient | paper | ppt |
| 2021-01-18 | 손태선 | Elastic Parameter Server Load Distribution in Deep Learning Clusters | paper | ppt |
| 2021-01-11 | 허윤서 | Dimensionality Reduction | ppt | |
| 2020-11-26 | 박정애 | Stratus: Clouds with Microarchitectural Resource Management | paper | ppt |
| 2020-11-19 | 박주언 | A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines | paper | ppt |
| 2020-11-12 | 최재강 | Disaggregation and the Application | paper | ppt |
| 2020-11-05 | 최운호 | No Reservations: A First Look at Amazon Reserved Instance Marketplace | paper | ppt |
| 2020-10-29 | 손태선 | Auto-sizing for Stream Processing Applications at LinkedIn | paper | ppt |
| 2020-10-15 | 이성재 | Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems | paper | ppt |
| 2020-10-08 | 박정애 | On the Impact of Isolation Costs on Locality-aware Cloud Scheduling | paper | ppt |
| 2020-09-24 | 손태선 | Apache Parquet | ppt | |
| 2020-09-17 | 박주언 | A Cloud-native Architecture for Replicated Data Services | paper | ppt |
| 2020-09-10 | 최재강 | Towards Plan-aware Resource Allocation in Serverless Query Processing | paper | ppt |
| 2020-09-03 | 최운호 | Securing RDMA for HIgh-Performance Datacenter Storage Systems | paper | ppt |
| 2020-08-26 | 손태선 | Resource Efficient Stream Processing Platform with Latency-Aware Scheduling Algorithms | paper | ppt |
| 2020-08-12 | 박정애 | Serverless Boom or Bust? An Analysis of Economic Incentives | paper | ppt |
| 2020-08-05 | 이성재 | Towards GPU Utilization Prediction for Cloud Deep Learning | paper | ppt |
| 2020-07-29 | 박주언 | More IOPS for Less: Exploiting Burstable Storage in Public Clouds | paper | ppt |
| 2019-04-02 | 김정출 | SOCK : Rapid Task Provisioning with Serverless-Optimized Containers | paper | ppt |
| 2019-02-14 | 손성수 | Dynamic Control of CPU Usage in a Lambda Platform | paper | ppt |
| 2019-01-30 | 박정애 | μSuite: A Benchmark Suite for Microservices | paper | ppt |
| 2019-01-30 | 민지수 | Matrix Computations and Optimization in Apache Spark | paper | ppt |
| 2019-01-24 | 손명준 | Exploring Serverless Computing for Neural Network Training | paper | ppt |
| 2019-01-24 | 김정출 | Serverless Computing : One Step Forward, Two Steps Back | paper | ppt |
| 2019-01-17 | 김현준 | HoloClean: Holistic Data Repairs with Probabilistic Inference | paper | ppt |
| 2019-01-17 | 이창우 | Machine Learning Winter School 2018 | paper | ppt |
| 2018-12-12 | 김정출 | BIGDATA 2018 | paper | ppt |
| 2018-10-09 | 김현준 | A Comparative Study of Containers and Virtual Machines in Big Data Environment | paper | ppt |
| 2018-10-02 | 손성수 | Toward Cost-effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory | paper | ppt |
| 2018-09-18 | 이창우 | Performance Evaluation of a MongoDB and Hadoop Platform for Scientific Data Analysis | paper | ppt |
| 2018-09-04 | 김정출 | Selecta: Heterogeneous Cloud Storage Configuration for Data Analytics | paper | ppt |
| 2018-08-02 | 손성수 | Peeking Behind the Curtains of Serverless Platforms | paper | ppt |
| 2018-07-19 | 손명준 | CLOUD2018 & Lessons from OSG School 2018 | CLOUD2018 | HTCondor ppt & hands-on |
| 2018-07-05 | 김정출 | Improving spark application throughput via memory aware task co-location: a mixture of experts approach | paper | ppt |
| 2018-06-28 | 손명준 | Dione: Profiling spark applications exploiting graph similarity | paper | ppt |
| 2018-06-18 | 손성수 | Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks | paper | ppt |
| 2018-03-28 | 김정출 | PerfOrator: eloquent performance models for Resource Optimization | paper | ppt |
| 2018-03-21 | 손성수 | Performance Characterization and Acceleration of In-Memory File Systems for Hadoop and Spark Applications on HPC Clusters | paper | ppt |
| 2018-03-15 | 손명준 | Design of Experiments | link paper | ppt |
| 2018-02-28 | 김정출 | WSDM CUP 2018 | paper | ppt |
| 2018-02-21 | 손성수 | SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs | paper | ppt |
| 2018-01-24 | 손명준 | Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce | paper | ppt |
| 2018-01-17 | 손성수 | Resource Elasticity for Large-Scale Machine Learning | paper | ppt |
| 2017-12-27 | 이경용 | Autonomic BigData Cloud Computing | ||
| 2017-10-30 | 손명준 | Predicting cloud performance for HPC applications: a user-oriented approach | paper | ppt |
| 2017-10-23 | 김정출 | boosting (ADAboosting and Gradient boosting) and random forest | ppt | |
| 2017-10-16 | 손성수 | Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics | paper | |
| 2017-10-10 | 김남현 | Random forest and decision tree | coursera | |
| 2017-09-19 | 손명준 | OpenCL and its application (Lessons from the summer accelerator school) | ppt gitHub | |
| 2017-09-11 | 김정출 | Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach | paper | ppt |
| 2017-08-31 | 손성수 | Distributed matrix computation on Spark | paper | ppt |
| 2017-08-01 | 손명준 | Exploiting Matrix Dependency for Efficient Distributed Matrix Computation | paper | |
| 2017-07-18 | 김남현 | Matrix multiplication on Sparkk | marlin CARMA | ppt |
| 2017-07-13 | 사라 | Time series for spot instance price | ||
| 2017-06-12 | 손명준 | CPU and GPU orchestration | paper | ppt |
| 2017-05-29 | 김정출 | Containerization VS. Virtualization | paper | |
| 2017-05-22 | 김남현 | Using Spark on GPUs | paper | |
| 2017-05-15 | 사라 | C-Fuzzy Decision Tree | paper | ppt |
| 2017-05-08 | 손명준 | CherryPick | paper | ppt |
| 2017-05-01 | 김정출 | TensorFlow hands-on session | ppt | |
| 2017-04-17 | 이경용 | Autonomic BigData Cloud Computing | ||
| 2017-04-03 | 김남현 | NeuralNet | textbook | |
| 2017-03-27 | 김정출 | TensorFlow | paper | |
| 2017-03-20 | 김정출 | TensorFlow | paper | ppt |
| 2017-03-13 | 손명준 | using spot instances | TR-Spark: Transient Computing for Big Data Analytics | ppt |
| 2017-03-06 | 사라 | spot instance pricing | Characterizing spot price dynamics in public cloud environments | ppt |
| 2017-02-22 | 김정출 | SparkNet | paper YahooHadoop-1 YahooHadoop-2 TensorFrame | ppt |
| 2017-02-08 | 손명준 | Spot instance for deep learning(DeepSpotCloud) | code | paper |
| 2017-02-01 | 사라 | XGBoost | paper site | ppt |
| 2017-01-25 | 김정출 | Virtualization or Containerization? | Quora stackoverflow blog | docs |