Greg Ganger - Parallel Data Lab 2015 Retreat Welcome & Overview

Kayvon Fatahalian - Large-scale Visual Computing

Ben Blum - Concurrency Testing with Data-Race Preemption Points

Lianghong Xu - Similarity-based Deduplication for Distributed Document Databases

Timmy Zhu - SNC-Meister: Admitting more workloads with tail latency SLOs

Joy Arulraj - Let’s Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems

Donghyuk Lee - Isolating CPU and IO Traffic with New DRAM Architectures

Rajat Kateja - FTL designs for tail latency reduction

Lin Ma - Multi-level anti-caching for NVM+SSD in H-Store

Alexey Tumanov - Aramid : Scheduling with Time-based Reservations in Heterogeneous Clusters

Qing Zheng - DeltaFS: Scalable File System For Future Exascale Data Centers

Jinliang Wei - Managed bandwidth for distributed ML computations

Aaron Harlap - Addresing the Straggler Problem in Iterative Convergent Parallel ML

Phil Gibbons - Write-efficient Algorithms for Emerging Memory Technologies

Yixin Luo -- Data Retention and Read Disturb in MLC NAND Flash Memory

Henggang Cui - Scalable Deep Learning on Distributed GPUs with a GPU-based Parameter Server

Jin Kyu Kim - STRADS: A Distributed Framework for Scheduled Model-Parallel ML

Saurabh Kadekodi - Caveat-Scriptor: Write Anywhere Shingled Disks

Angela Jiang - Job resource need prediction

Huanchen Zhang - Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes

Kai Ren - TBA

Lin Xiao - ShardFS vs. IndexFS: Replication vs. Caching Strategies for Distributed Metadata Management in Cloud Storage Systems

Gennady Pekhimenko - Exploiting Compressed Block Size as an Indicator of Future Reuse