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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 2012 Retreat: Posters
PACMan: Coordinated Memory Caching for Parallel Analytics Jobs
Ganesh Ananthanarayanan (Berkeley), Ali Ghodsi (Berkeley), Andrew Wang (Berkeley), Dhruba Borthakur (Facebook), Srikanth Kandula (MSR), Scott Shenker (Berkeley), Ion Stoica (Berkeley)
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Analyzing and Optimizing GPU Communication and Computation
Wenhao Jia (Princeton Univ), Kelly A. Shaw (Univ of Richmond), Margaret Martonosi (Princeton Univ)
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Oncilla -- A GAS Run-time for Efficient Resource Partitioning in Data Centers
Jeffrey Young, Alex Merritt, Sudhakar Yalamanchili (Georgia Tech)
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Application-to-Core Mapping Policies to Reduce Memory Interference in Multi-Core Systems
Reetuparna Das§, Rachata Ausavarungnirun, Onur Mutlu, Akhilesh Kumar‡, Mani Azimi‡ (Carnegie Mellon University, §University of Michigan, ‡Intel Labs)
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Staged Memory Scheduling
Rachata Ausvarungnirun, Kevin Chang, Lavanya Subramanian, Gabriel H. Loh§, Onur Mutlu (Carnegie Mellon University, §AMD Research)
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HAT: Heterogeneous Adaptive Throttling for On-Chip Networks
Kevin Chang, Rachata Ausavarungnirun, Chris Fallin, and Onur Mutlu (Carnegie Mellon University)
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MinBD: Minimally-Buffered Deflection Routing for Energy-Efficient Interconnect
Chris Fallin, Greg Nazario, Xiangyao Yu, Kevin Chang, Rachata Ausavarungnirun, Onur Mutlu (Carnegie Mellon University)
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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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Linearly Compressed Pages: A Main Memory Compression Framework with Low Complexity and Low Latency
Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Todd C. Mowry (CMU), Phillip B. Gibbons, Michael A. Kozuch (Intel)
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RowClone: In-DRAM Copy and Initialization of Bulk Data
V. Seshadri, Y. Kim, C. Fallin, D. Lee, G. Pekhimenko, R. Ausavarungnirun, Y. Luo, O. Mutlu, P. B. Gibbons*, M. A. Kozuch*, T. C. Mowry (Carnegie Mellon University, *Intel Labs)
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A Case for Subarray-Level Parallelism (SALP) in DRAM
Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Liu, Onur Mutlu (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 and Onur Mutlu (Carnegie Mellon University)
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RAIDR: Retention-Aware Intelligent DRAM Refresh
Jamie Liu (Carnegie Mellon University), Ben Jaiyen (Carnegie Mellon University), Richard Veras (Carnegie Mellon University), Onur Mutlu (Carnegie Mellon University)
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Identifying and Mitigating Memory Resource Contention to Accelerate Data-Intensive Workloads
Justin Meza*, Jichuan Chang†, Parthasarathy Ranganathan†, Onur Mutlu* (*CMU, †HP Labs)
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MISE: Providing Performance Predictability in Shared Main Memory Systems
Lavanya Subramanian, Vivek Seshadri, Yoongu Kim, Ben Jaiyen, Onur Mutlu (Carnegie Mellon University)
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Row Buffer Locality-Aware Hybrid Memory Caching Policies
HanBin Yoon (CMU), Justin Meza (CMU), Rachata Ausavarungnirun (CMU), Rachael A. Harding (CMU), Onur Mutlu (CMU)
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Data Mapping & Buffering to Exploit Asymmetry in MLC Memory
HanBin Yoon (CMU), Naveen Muralimanohar (HP Labs), Justin Meza (CMU), Onur Mutlu (CMU), Norman P. Jouppi (HP Labs)
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Memory-Effcient GroupBy-Aggregate using Compressed Buffer Trees
Hrishikesh Amur (GT), Wolfgang Richter (CMU), David G. Andersen (CMU), Michael Kaminsky (Intel), Karsten Schwan (GT), Athula Balachandran (CMU), Erik Zawadzki (CMU)
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MemC3: Compact and Concurrent MemCache with Dumber Caching and Smarter Hashing
Bin Fan, Dave Andersen (Carnegie Mellon University), Michael Kaminsky (Intel)
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Hash Filter: Making Bloom Filter Even More Compact And Deletable
Bin Fan, Dave Andersen (Carnegie Mellon University), Michael Kaminsky (Intel)
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Eiger: Stronger Semantics for Low-Latency Geo-Replicated Storage
Wyatt Lloyd (Princeton), Michael J. Freedman (Princeton), Michael Kaminsky (Intel Labs), David G. Andersen (CMU)
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Egalitarian Paxos: There Is More Consensus in Egalitarian Parliaments
Iulian Moraru, David Andersen (Carnegie Mellon University), Michael Kaminsky (Intel)
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Space-Efficient, High-Performance Rank & Select Structures
Dong Zhou, Carnegie Mellon University, David G. Andersen (Carnegie Mellon University), Michael Kaminsky (Intel Labs)
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Dynamic Power Management for Multi-tier Data Centers
Anshul Gandhi, Timothy Zhu, Mor Harchol-Balter, Mike Kozuch* (CMU, *Intel Labs)
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CacheScale: Saving Cash by Using Less Cache
Timothy Zhu, Anshul Gandhi, and Mor Harchol‐Balter (Carnegie Mellon University); Michael A. Kozuch (Intel Labs)
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GraphChi - Large-Scale Graph Computation on Just a PC
Aapo Kyrölä, Guy Blelloch (Carnegie Mellon University), Carlos Guestrin (University of Washington)
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GraphLab2: Distributed Graph-Parallel Computation on Natural Graphs
Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin (Carnegie Mellon University)
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γ-ray: Scalable Real-Time Extraction of Log File Updates from VMs
Wolfgang Richter (Carnegie Mellon) Canturk Isci (IBM Research), Jan Harkes, Benjamin Gilbert, Vasanth Bala (IBM Research), Mahadev Satyanarayanan (Carnegie Mellon)
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Rapid VM Synthesis for Cloudlet
Kiryong Ha (Carnegie Mellon University)
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Virtual Appliance Delivery over Wide Area Networks
Yoshihisa Abe and Mahadev Satyanarayanan (Carnegie Mellon University)
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Scalable Crowd-Sourcing of Video from Mobile Devices
Pieter Simoens (CMU, Ghent University), Yu Xiao (CMU, Aalto University), Padmanabhan Pillai (Intel Labs), Zhuo Chen (CMU), Kiryong Ha (CMU), Mahadev Satyanarayanan (CMU)
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Guardrail: High Fidelity Correctness Checking of Device Drivers for I/O Safety
Olatunji Ruwase (CMU), Michael Kozuch (Intel), Phillip B. Gibbons (Intel), and Todd C. Mowry (CMU)
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LazyTables: Distributed Data for Machine Learning
Jim Cipar, Qirong Ho, Greg Ganger, Eric Xing (Carnegie Mellon University)
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Big Machine Learning: Needs and Directions
Qirong Ho, Jim Cipar, Wei Dai, Jinliang Wei, Henggang Cui, and the rest of the Big Learning team (Carnegie Mellon University)
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Diagnosing Performance Changes by Comparing Request Flows
Raja Sambasivan, Alice Zheng, Eno Thereska, Greg Ganger (Carnegie Mellon University)
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vQuery: Tracking Configuration + Performance
Ilari Shafer, Charlene Zang, Snorri Gylfason*, Greg Ganger (Carnegie Mellon University, *VMware)
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alsched: Algebraic Scheduling in Heterogeneous Clouds
Alexey Tumanov, James Cipar (Carnegie Mellon University), Michael A. Kozuch (Intel Labs), Gregory R. Ganger (Carnegie Mellon University)
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Heterogeneity and Dynamicity of Clouds at Scale: Google Trace Analysis
Charles Reiss (UC Berkeley), Alexey Tumanov (CMU), Gregory R. Ganger (CMU), Randy H. Katz (UC Berkeley), Michael A. Kozuch (Intel Labs)
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JackRabbit: Improved Agility in Elastic Distributed Storage
James Cipar, Lianghong Xu, Elie Krevat, Alexey Tumanov, Nitin Gupta (Carnegie Mellon University), Mike Kozuch (Intel), Greg Ganger (Carnegie Mellon University)
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Landslide: Dynamic Race Detection on Pebbles Kernels
Ben Blum, Jiri Simsa, Garth Gibson (Carnegie Mellon University)
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PLFS-HDFS: HPC Applications on Cloud Storage
Chuck Cranor, Milo Polte, Garth Gibson (Carnegie Mellon University)
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Performing Cloud Computation on a Parallel File System
Ellis Wilson (PSU), Garth Gibson (CMU)
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A Data Correlation-Aware Framework for Sparse Regression in the Cloud
Jin Kyu Kim, Seunghak Lee, Eric Xing, Garth Gibson (Carnegie Mellon University)
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Scaling Metadata Performance for POSIX Applications
Kai Ren, Kartik Kulkarni, Swapnil Patil, Garth Gibson (Carnegie Mellon University)
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Exploratory Testing at Scale
Jiri Simsa, Randy Bryant, Garth Gibson (Carnegie Mellon University), Jason Hickey (Google)
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Scaling Metadata in HDFS
Lin Xiao, Garth Gibson (Carnegie Mellon University)
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Black-Box Localization of Storage Problems in Parallel File Systems
Michael P. Kasick, Priya Narasimhan (Carnegie Mellon University)
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Problem Localization for Hadoop using Draco
Soila Kavulya (CMU), Jiaqi Tan (CMU), Rajeev Gandhi (CMU) and Priya Narasimhan (CMU)
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Visual Signatures for Hadoop Diagnosis
Elmer Garduno (CMU), Soila Kavulya (CMU), Jiaqi Tan (CMU), Rajeev Gandhi (CMU) and Priya Narasimhan (CMU)
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Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop
Jiaqi Tan (CMU), Soila Kavulya (CMU), Rajeev Gandhi (CMU) and Priya Narasimhan (CMU)
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