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ISTC-CC NEWSLETTER
RESEARCH HIGHLIGHTS
Ling Liu's SC13 paper "Large Graph Processing Without the Overhead" featured by HPCwire.
ISTC-CC provides a listing of useful benchmarks for cloud computing.
Another list highlighting Open Source Software Releases.
Second GraphLab workshop should be even bigger than the first! GraphLab is a new programming framework for graph-style data analytics.
ISTC-CC 2013 Retreat: Posters
vTube: Efficient Streaming of Virtual Appliances Over Last-Mile Networks
Yoshihisa Abe†, Roxana Geambasu‡, Kaustubh Joshi•, H. Andrés Lagar-Cavilla⋆, Mahadev Satyanarayanan† †Carnegie Mellon University, ‡Columbia University, •AT&T Research, ⋆GridCentric
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Differentiated Storage Services Gen-2: Enabling Storage QoS for Virtual Machines
Rachata Ausavarungnirun†, Paul Brett‡, Scott Hahn‡, Michael Mesnier‡, Onur Mutlu† †Carnegie Mellon University ‡Intel Labs
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What Test Should I Run? Improving Concurrency Tests with State Space Estimation
Ben Blum, Jiri Simsa, Garth Gibson (CMU)
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Improving DRAM Performance by Parallelizing Refreshes with Accesses
Kevin Chang†, Donghyuk Lee†, Zeshan Chisti§, Alaa Alameldeen§, Chris Wilkerson§, Yoongu Kim†, Onur Mutlu† †Carnegie Mellon University, §Intel Labs
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Scalable Crowd-Sourcing of Video from Mobile Devices
Pieter Simoens*†, Yu Xiao*‡, Padmanabhan Pillai§, Zhuo Chen*, Kiryong Ha*, Mahadev Satyanarayanan* *Carnegie Mellon University †Ghent University ‡Aalto University §Intel Labs
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LazyTable: Distributed Machine Learning with the Stale Synchronous Parallel Model
Qirong Ho, Henggang Cui, James Cipar, Jin Kyu Kim, Abhimanu Kumar, Seunghak Lee, Wei Dai, Jinliang Wei, Greg Ganger, Phil Gibbons*, Garth Gibson, Eric Xing (CMU, *Intel)
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Exploiting Bounded Staleness To Speed Up Big Data Analytics
Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Abhimanu Kumar, Seunghak Lee, Wei Dai, Jinliang Wei, Greg Ganger, Phil Gibbons*, Garth Gibson, Eric Xing (CMU, *Intel)
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Discretized Streams: Fault-Tolerant Streaming Computation at Scale
Matei Zaharia, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, Ion Stoica (UC Berkeley)
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Hyrax: Edge Clouds of Mobile Devices
Utsav Drolia, Jiaqi Tan, Rolando Martins, Rajeev Gandhi and Priya Narasimhan (CMU)
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Dataflow-Analysis-Based Dynamic Parallel Monitoring
Michelle L. Goodstein (CMU), Shimin Chen (ICT CAS), Phillip B. Gibbons (Intel Labs), Michael A. Kozuch (Intel Labs) and Todd C. Mowry (CMU)
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OpenStack++ for Cloudlets
Kiryong Ha, Padmanabhan Pillai†, Mahadev Satyanarayanan Carnegie Mellon University and †Intel Labs
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Big Machine Learning: Needs and Directions
Qirong Ho, Jim Cipar, Wei Dai, Jinliang Wei, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons*, Gregory R. Ganger, Garth Gibson, Eric P. Xing (CMU, *Intel)
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QuiltView: a Crowd-Sourced Video Response System
Zhuo Chen, Wenlu Hu, Kiryong Ha, Jan Harkes, Benjamin Gilbert, Jason Hong, Asim Smailagic, Dan Siewiorek, Mahadev Satyanarayanan (Carnegie Mellon University)
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Design Space Analysis for Heterogeneous Systems
Wenhao Jia (Princeton), Tae Jun Ham (Princeton), Kelly A. Shaw (Univ of Richmond), Margaret Martonosi (Princeton)
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STRADS: A Distributed ML Task Scheduler For Large-Scale Convex Optimization Problems
Jin Kyu Kim, Seunghak Lee, Eric Xing, Garth Gibson (CMU)
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A Case for Exploiting Subarray-Level Parallelism (SALP) in DRAM
Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu (CMU)
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Automated Performance Problem Mitigation in Multi-service Apps
Elie Krevat, Greg Ganger (CMU)
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Tiered-Latency DRAM: A Low Latency and Low Cost DRAM Architecture
Donghyuk Lee, Yoongu Kim , Vivek Seshadri, Jamie Liu, Lavanya Subramanian, Onur Mutlu (CMU)
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Hardware + Algorithms = Seriously Concurrent Hash Tables
Xiaozhou Li (Princeton), David G. Andersen (CMU), Michael Kaminsky (Intel Labs), Michael J. Freedman (Princeton)
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Tachyon: Reliable File Sharing at Memory-speed Across Cluster Frameworks
Haoyuan Li, Ali Ghodsi, Matei Zaharia, Eric Baldeschwieler, Scott Shenker, Ion Stoica (UC Berkeley)
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MICA: A Holistic Approach to Near-Line-Rate In-Memory Key-Value Caching on General-Purpose Hardware
Hyeontaek Lim (CMU), Dongsu Han (KAIST), David G. Andersen (CMU), Michael Kaminsky (Intel Labs)
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AndyVision: Leveraging Embedded-to-Cloud Framework in Retail Environments
Kunal Mankodiya, Rolando Martins, Utsav Drolia, Jon Francis, Rajeev Gandhi and Priya Narasimhan (CMU)
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Experiences with Fault-Injection in a Byzantine Fault-Tolerant Protocol
Rolando Martins, Rajeev Gandhi and Priya Narasimhan (CMU)
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A Case for Efficient Hardware/So5ware Cooperative Management of Storage and Memory
Justin Meza1, Yixin Luo1, Samira Khan1,3, Jishen Zhao2, Yuan Xie2,4, Onur Mutlu1 1Carnegie Mellon University, 2Pennsylvania State University, 3Intel Labs, 4AMD Research
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Approximating User-Defined Functions in BlinkDB
Sameer Agarwal, Ariel Kleiner, Henry Milner, Barzan Mozafari*, Aurojit Panda, Purnamitra Sarkar, Ameet Talwalkar, Michael Jordan, Samuel Madden^, Ion Stoica (U Michigan-Ann Arbor*, MIT^, UC Berkeley)
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Egalitarian Paxos
Iulian Moraru, David Andersen, Michael Kaminsky* (CMU, *Intel)
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Linearly Compressed Pages: A Low Complexity, Low Latency Main Memory Compression Framework
Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Philip B. Gibbons*, Michael A. Kozuch, and Todd C. Mowry (CMU, *Intel)
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Base-Delta-Immediate Compression: Practical Data Compression for On-Chip Caches
Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu (CMU), Phillip B. Gibbons, Michael A. Kozuch (Intel Pittsburgh), Todd C. Mowry (CMU)
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Scaling Distributed File System Metadata Throughput
Kai Ren, Swapnil Patil, Kartik Kulkarni, Adit Madan, Garth Gibson (CMU)
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Agentless Cloud-wide Monitoring of Virtual Disk State
Wolfgang Richter*, Canturk Isci✝, Benjamin Gilbert*, Jan Harkes*, Vasanth Bala✝, Mahadev Satyanarayanan* (*Carnegie Mellon University, ✝IBM Research)
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Exploration of Data Warehousing and Graph Applications with GPUs
Ifrah Saeed, Se Hoon Shon, Haicheng Wu, Jeffery Young, Sudhakar Yalamanchili (Georgia Tech)
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RowClone: Fast and Energy-efficient In-DRAM Bulk Data Copy and Initialization
Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons*, Michael A. Kozuch*, Todd C. Mowry (CMU, * Intel)
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Reducing Contention Through Priority Updates
Julian Shun, Guy Blelloch, Jeremy Fineman, Phillip Gibbons* (CMU, *Intel)
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MISE: Providing Performance Predictability and Improving Fairness in Shared Main Memory Systems
Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu (CMU)
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Tetrisched: Space-Time Scheduling for Heterogeneous Datacenters
Alexey Tumanov, Timothy Zhu, Michael A. Kozuch*, Mor Harchol-Balter, Gregory R. Ganger (CMU, *Intel)
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ANUMA: Asymmetry-aware Execution Placement on Manycore Chips
Alexey Tumanov, Joshua Wise, Onur Mutlu, Greg Ganger (CMU)
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ShardFS: Scalable Metadata for HDFS
Lin Xiao, Alex Degtiar, Ge Gao, Yu Su, Chaomin Yu, Garth Gibson (CMU)
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Out-of-core Metadata for HDFS
Lin Xiao, Garth Gibson (CMU)
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FastHASH: A New Algorithm for Fast and Comprehensive Next-generation Sequence Mapping
Hongyi Xin (CMU), Donghyuk Lee (CMU), Farhad Homozdiari (UCLA), Can Alkan (Bilkent University), Onur Mutlu (CMU)
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SpringFS: Bridging Agility and Performance in Elastic Distributed Storage
Lianghong Xu, James Cipar, Elie Krevat, Alexey Tumanov, Nitin Gupta, Gregory Ganger (Carnegie Mellon University), Michael Kozuch (Intel Labs Pittsburgh)
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Oncilla -- A GAS Run-time for Efficient Resource Partitioning in Accelerated Clusters
Jeffrey Young, Se Hoon Shon, Alex Merritt, Sudhakar Yalamanchili, Karsten Schwan (Georgia Tech)
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Scalable, High Performance Ethernet Forwarding with CuckooSwitch
Dong Zhou, Bin Fan, Hyeontaek Lim, David G. Andersen, Michael Kaminsky* (CMU, *Intel Labs)
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Per-Application Server Specialization in Data Centers
Timothy Zhu (CMU), Anshul Gandhi (CMU), Mor Harchol-Balter (CMU), Michael A. Kozuch (Intel)
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Enabling End-to-End Latency & Throughput SLOs on Shared Storage
Timothy Zhu, Alexey Tumanov, Michael A. Kozuch*, Mor Harchol-Balter, Gregory R. Ganger (Carnegie Mellon University, *Intel Labs)
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