IISWC-2013

September 22-24, 2013

 Portland, Oregon, USA

PROGRAM

Day 1

September 22 (Sunday)

    Tutorials

  • Tutorial I:   (Half-day session - 9am to 12pm)   

    • The Sniper Multi-Core Simulator (by Ghent University)

     

  • Tutorial II:   (Half-day session - 1pm to 4:30pm)   

    • Modeling Exascale Applications with SST/macro and Eiger (by Georgia Tech and Sandia National Labs)

     

  • Tutorial III:   (Half-day session - 1pm to 4:30pm)  Canceled  

    • Genomics and Towards Personalized Medicine (by Intel and OHSU)

     

  • 6:00-9:00pm Reception  

Day 2

September 23 (Monday)

   7:30  -  8:30am     Breakfast
   8:30  -  9:30am     Keynote: Raj Yavatkar (Intel Fellow)
   9:30  -10:00am     Break
 10:00  -12:00pm     Session 1: Characterizing Parallel Workloads
 12:00  -  1:30pm     Lunch
   1:30  -  3:00pm     Session 2: Best Paper Session
   3:00  -  3:30pm     Break
   3:30  -  5:00pm     Session 3: Big Data
   5:00  -  5:30pm     Session 4: Work-In-Progress
   6:30  -  9:30pm     Excursion and Dinner (Portland Spirit Cruise on Willamette River) 

Day 3

September 24 (Tuesday)

   7:30  -  8:30am     Breakfast
   8:30  -10:00am     Session 5: Mobile Systems
 10:00  -10:30am     Break
 10:30  -12:00pm     Session 6: Virtualization and System Management
 12:00  -  1:30pm     Lunch
   1:30  -  3:30pm     Session 7: Hot Workloads Special Session
   3:30  -  4:00pm     Break
   4:00  -  5:30pm     Session 8: GPUs and Accelerators

 

 

Place Information at Hilton Hotel

 

 

Day 1 -  Sunday, September 22, 2013

 

 

Day 2 -  Monday, September 23, 2013

 

    7:30  -  8:30     Breakfast
    8:30  -  9:30     Keynote: Raj Yavatkar (Intel Fellow) "From Nano to Massive: what does it mean for workloads and architectures?" (abstract)  
    9:30  -10:00     Break

  10:00  -12:00     Session 1: Characterizing Parallel Workloads

      Chair:Ravi Soundararajan, VMware


●    Characterizing Multi-threaded Applications for Designing Sharing-aware Last-level Cache Replacement Policies
Ragavendra Natarajan (University of Minnesota, Twin Cities), Mainak Chaudhuri (Indian Institute of Technology, Kanpur)


●    (Mis)Understanding the NUMA Memory System Performance of Multithreaded Workloads
Zoltan Majo (ETH Zurich), Thomas R. Gross (ETH Zurich)


●    iBench: Quantifying Interference for Datacenter Workloads
Christina Delimitrou (Stanford University), Christos Kozyrakis (Stanford University)


●    Do C and Java Programs Scale Differently on Hardware Transactional Memory?
Rei Odaira (IBM Research - Tokyo), Jose G. Castanos (IBM Research - Watson Research Center), Takuya Nakaike (IBM Research - Tokyo)


  12:00  -  1:30     Lunch

    1:30  -  3:00     Session 2: Best Paper Session

      Chair: David Brooks, Harvard University


●    ACE: Abstracting, Characterizing and Exploiting Datacenter Power Demands
Di Wang (The Pennsylvania State University), Chuangang Ren (The Pennsylvania State University), Sriram Govindan (Microsoft), Anand Sivasubramaniam (The Pennsylvania State University), Bhuvan Urgaonkar (The Pennsylvania State University), Aman Kansal (Microsoft Research), Kushagra Vaid (Microsoft)


●    Quantifying the Energy Cost of Data Movement in Scientific Applications
Gokcen Kestor (Pacific Northwest National Laboratory), Roberto Gioiosa (Pacific Northwest National Laboratory), Darren Kerbyson (Pacific Northwest National Laboratory), Adolfy Hoisie (Pacific Northwest National Laboratory)


●    Characterizing Data Analysis Workloads in Data Centers
Zhen Jia (Chinese Academy of Sciences), Lei Wang (Chinese Academy of Sciences), Jianfeng Zhan (Chinese Academy of Sciences), Lixin Zhang (Chinese Academy of Sciences)


    3:00  -  3:30     Break

    3:30  -  5:00     Session 3: Big Data

      Chair: Rajeev Balasubramonian, University of Utah


●    HcBench: Methodology, Development, and Characterization of a Customer Usage Representative Big Data/Hadoop Benchmark
Vikram A. Saletore (Intel Corporation), Karthikeyan Krishnan (Intel Corporation), Vish Viswanathan (Intel Corporation), Matthew E. Tolentino (Intel Corporation)


●    Semantic Characterization of MapReduce Workloads
Zhihong Xu (University of Nebraska Lincoln), Martin Hirzel (IBM Watson Research), Gregg Rothermel (University of Nebraska Lincoln)


●    Characterizing the Efficiency of Data Deduplication for Big Data Storage Management
Ruijin Zhou (University of Florida), Ming Liu (University of Florida), Tao Li (University of Florida)


    5:00  -  5:30     Session 4: Work-In-Progress

      Chair: Carole-Jean Wu, Arizona State University


●    Power and Performance of GPU-accelerated Systems: A Closer Look
Yuki Abe (Kyushu University), Hiroshi Sasaki (Kyushu University), Koji Inoue (Kyushu University), Shinpei Kato (Nagoya University), Masato Edahiro (Nagoya University), Martin Peres (Laboratoire Bordelais de Recherche en Informatique)


●    Hardware-Independent Application Characterization
Scott Pakin (Los Alamos National Laboratory), Pat McCormick (Los Alamos National Laboratory)


    6:30  -  9:30     Excursion and Dinner (Portland Spirit Cruise on Willamette River)

 

 

Day 3 -  Tuesday, September 24, 2013

 

    7:30  -    8:30     Breakfast

    8:30  -  10:00     Session 5: Mobile Systems

      Chair: Harvey Tuch, VMware


●    A Structured Approach to the Simulation, Analysis and Characterization of Smartphone Applications
Dam Sunwoo (ARM), William Wang (ARM), Mrinmoy Ghosh (ARM), Chander Sudanthi (ARM), Geoffrey Blake (ARM), Christopher D. Emmons (ARM), Nigel Paver (ARM)


●    WiBench: An Open Source Kernel Suite for Benchmarking Wireless Systems
Qi Zheng (University of Michigan at Ann Arbor), Yajing Chen (University of Michigan at Ann Arbor), Ronald Dreslinski (University of Michigan at Ann Arbor), Chaitali Chakrabarti (Arizona State University), Achilleas Anastasopoulos (University of Michigan at Ann Arbor), Scott Mahlke (University of Michigan at Ann Arbor), Trevor Mudge (University of Michigan at Ann Arbor)


●    Performance, Energy Characterizations and Architectural Implications of An Emerging Mobile Platform Benchmark Suite – MobileBench
Dhinakaran Pandiyan (Arizona State University), Shin-Ying Lee (Arizona State University), Carole-Jean Wu (Arizona State University)


  10:00  -10:30     Break

  10:30  -12:00     Session 6: Virtualization and System Management

      Chair: Leslie Barnes, AMD


●    Revisiting the Management Control Plane in Virtualized Cloud Computing Infrastructure
Ravi Soundararajan (VMware, Inc.), Lawrence Spracklen (Ayasdi)


●    Modeling Virtual Machines Misprediction Overhead
Divino Cesar (University of Campinas), Rafael Auler (University of Campinas), Rafael Dalibera (University of Campinas), Sandro Rigo (University of Campinas), Edson Borin (University of Campinas), Guido Araujo (University of Campinas)


●    Performance Implications of System Management Mode
Brian Delgado (Intel, Portland State University), Karen Karavanic (Portland State University)


  12:00  -  1:30     Lunch

    1:30  -  3:30     Session 7: Hot Workloads Special Session

      Chair: Steve Reinhardt, AMD


●    Invited Talk I:
Speaker: Harvey Tuch (VMware)
Title: Mobile virtualization: Understanding performance from the application to the metal


●    Invited Talk II:
Speaker: Mei Chen (Intel)
Title: Computational Perception


●    Invited Talk III:
Speaker: Mike Flynn and Jacob Bower (Maxeler)
Title: Workloads for Multiscale Dataflow Computing


●    Invited Talk IV:
Speaker: Mark Shaw (Microsoft)
Title: Optimizing Queries per Watt at Web Scale


    3:30  -  4:00     Break

    4:00  -  5:30     Session 8: GPUs and Accelerators

      Chair: Russell Clapp, Intel


●    On the performance and energy-efficiency of multi-core SIMD CPUs and CUDA-enabled GPUs
Ronald Duarte (University of Rhode Island), Resit Sendag (University of Rhode Island), Frederick Vetter (University of Rhode Island),


●    Pannotia: Understanding Irregular GPGPU Graph Applications
Shuai Che (AMD), Bradford M. Beckmann (AMD), Steven K. Reinhardt (AMD), Kevin Skadron (University of Virginia)


●    Platform-independent analysis of function-level communication in workloads
Siddharth Nilakantan (Drexel University), Mark Hempstead (Drexel University)