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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 2015 Retreat: Posters
Persistent Adaptive Radix Trees: Efficient Fine-Grained Updates to Immutable Data
Ankur Dave, Joseph E. Gonzalez (UC Berkeley), Ion Stoica (UC Berkeley and Databricks), Michael J. Franklin (UC Berkeley)
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GraphX: Unified Data-Parallel and Graph-Parallel Analytics
Joseph Gonzalez (UC Berkeley), Reynold Xin (Databricks), Ankur Dave, Dan Crankshaw, Mike Franklin (UC Berkeley), Ion Stoica (UC Berkeley and Databricks)
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Affinity-Aware Work-Stealing for Integrated CPU-GPU Processors
Naila Farooqui (Georgia Tech), Rajkishore Barik (Intel Labs), Brian T. Lewis (Intel Labs), Tatiana Shpeisman (Intel Labs)
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Towards Real-World Deployment of Cloudlets
Kiryong Ha (CMU), Padmanabhan Pillai (Intel Labs), Mahadev Satyanarayanan (CMU)
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Wearable Cognitive Assistance Applications on Cloudlets
Zhuo Chen (CMU), Lu Jiang (CMU), Wenlu Hu (CMU), Kiryong Ha (CMU), Brandon Amos (CMU), Padmanabhan Pillai (Intel Labs) , Alex Hauptmann (CMU), Mahadev Satyanarayanan (CMU)
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Adaptive VM Handoff Across Cloudlets
Kiryong Ha (CMU), Yoshihisa Abe (CMU), Zhuo Chen (CMU), Wenlu Hu (CMU), Brandon Amos (CMU), Padmanabhan Pillai(Intel Labs), Mahadev Satyanarayanan (CMU)
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FlexRR: Solving the Straggler Problem for Iterative Convergent Parallel ML
Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Greg Ganger, Phillip B. Gibbons, Garth Gibson, Eric Xing (CMU)
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Exploiting Bounded Staleness To Speed Up Big Data Analytics
Henggang Cui (CMU), James Cipar (CMU), Qirong Ho (CMU), Jin Kyu Kim (CMU), Abhimanu Kumar (CMU), Seunghak Lee (CMU), Wei Dai (CMU), Jinliang Wei (CMU), Greg Ganger (CMU), Phil Gibbons (Intel Labs), Garth Gibson (CMU), Eric Xing (CMU)
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ELF: Efficient Lightweight Fast Stream Processing at Scale
Liting Hu, Karsten Schwan, Hrishikesh Amur, Xin Chen (Georgia Tech)
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Stellula: An Integrated Information Plane for Federated Sites
Liting Hu (Georgia Tech), Michael A. Kozuch (Intel Labs), Karsten Schwan (Georgia Tech)
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Raising the Bar for Using GPUs in Software Packet Processing
Anuj Kalia (CMU), Dong Zhou (CMU), Michael Kaminsky (Intel Labs), David Andersen (CMU)
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Architecting to Achieve a Billion Requests Per Second Throughput on a Single Key-Value Store Server Platform
Sheng Li (Intel Labs), Hyeontaek Lim (CMU), Victor W. Lee (Intel Labs), Jung Ho Ahn (Seoul National University), Anuj Kalia (CMU), Michael Kaminsky (Intel Labs), David G. Andersen (CMU), Seongil O (Seoul National University), Sukhan Lee (Seoul National University), Pradeep Dubey (Intel Labs)
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A Heterogeneous Key-Value System with Fast Load Balancing
Xiaozhou Li (Princeton University), Raghav Sethi (Princeton University), Michael Freedman (Princeton University), David Andersen (CMU), Michael Kaminsky (Intel Labs)
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Efficient Regular Expression Queries on Compressed Data
Anurag Khandelwal, Rachit Agarwal, Ion Stoica (UC Berkeley)
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Towards Accurate and Fast Evaluation of Multi-Stage Log-Structured Designs
Hyeontaek Lim (CMU), David G. Andersen (CMU), Michael Kaminsky (Intel Labs)
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Mobile Traffic Compression Methods
Themistoklis Melissaris (Princeton University), Margaret Martonosi (Princeton University)
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ShardFS vs. IndexFS: Replication vs. Caching Strategies for Distributed Metadata Management in Cloud Storage Systems
Lin Xiao, Kai Ren, Qing Zheng, Garth Gibson (CMU)
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Scaling File System Metadata Throughput using IndexFS
Kai Ren, Qing Zheng, Swapnil Patil, Garth Gibson (CMU)
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GraphReduce: Processing Large-Scale Graphs on Accelerator-Based Systems
Dipanjan Sengupta (Georgia Tech), Shuaiwen Leon Song (Pacific Northwest National Laboratory), Kapil Agarwal (Georgia Tech), Karsten Schwan (Georgia Tech)
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Page Overlays: An Enhanced Virtual Memory Framework to Enable Fine-grained Memory Management
Vivek Seshadri (CMU), Gennady Pekhimenko (CMU), Olatunji Ruwase (Microsoft Research), Onur Mutlu (CMU), Phillip B. Gibbons (Intel), Michael A. Kozuch (Intel), Todd C. Mowry (CMU), Trishul Chilimbi (Microsoft Research)
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Gather-Scatter DRAM: In-DRAM Address Translation to Improve the Spatial Locality of Non-unit Strided Accesses
Vivek Seshadri (CMU), Thomas Mullins (CMU), Amirali Boroumand (CMU), Onur Mutlu (CMU), Phillip B. Gibbons (Intel), Michael A. Kozuch (Intel Labs), Todd C. Mowry (CMU)
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Fast Bulk Bitwise AND and OR in DRAM
Vivek Seshadri (CMU), Kevin Hsieh (CMU), Amirali Boaroumand (CMU), Donghyuk Lee (CMU), Michael A. Kozuch (Intel Labs), Onur Mutlu (CMU), Phillip B. Gibbons (Intel Labs), Todd C. Mowry (CMU)
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TetriSched: Space-time Soft Constraints in Heterogeneous Datacenters
Alexey Tumanov (CMU), Timothy Zhu (CMU), Jun Woo Park (CMU), Michael A. Kozuch (Intel), Mor Harchol-Balter (CMU), Gregory R. Ganger (CMU)
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Wrangler: Predictable and Faster Jobs in Distributed Processing Systems using Machine Learning
Neeraja J. Yadwadkar, Bharath Hariharan, Ganesh Anathanarayanan, Joseph Gonzalez, and Randy Katz
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A Portable Benchmark Suite for Highly Parallel Data Intensive Query Processing
Jeffrey Young, Ifrah Saeed, Sudhakar Yalamanchili (Georgia Tech)
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An Out-of-Core GPU Accelerated Multi-Predicate Join Algorithm for Graph Processing
Haicheng Wu, Sudhakar Yalamanchili (Georgia Tech)
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Fast Sampling Algorithms for Sparse Latent Variable Models
Manzil Zaheer (CMU), Alex Smola (CMU and Marianas Lab)
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Shared Memory Optimization in Virtualized Cloud
Qi Zhang, Ling Liu (Georgia Tech)
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GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations
Yang Zhou, Ling Liu, Kisung Lee and Qi Zhang (Georgia Tech)
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Timothy Zhu (CMU), Alexey Tumanov (CMU), Michael A. Kozuch (Intel Labs), Mor Harchol-Balter (CMU), and Gregory R. Ganger (CMU)
