******* Please note early registration deadline : August 22nd 2013 ********

IISWC 2013
2013 Annual IEEE International Symposium on Workload Characterization
Portland, Oregon, September 22-24, 2013
http://www.iiswc.org

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This symposium is dedicated to the understanding and characterization of
Workloads that run on all types of computing systems. New applications and
programming paradigms continue to emerge rapidly as the diversity and
performance of computers increase. On one hand, improvements in computing
technology are usually based on a solid understanding and analysis of
existing workloads. On the other hand, computing workloads evolve and
change with advances in microarchitecture, compilers, programming languages,
and networking/communication technologies. Whether they are smart phones
and deeply embedded systems at the low end or massively parallel systems
at the high end, the design of future computing machines can be significantly
improved if we understand the characteristics of the workloads that are
expected to run on them. This symposium will focus on characterizing and
understanding emerging applications in consumer, commercial and scientific
computing.

IMPORTANT DATES:
Early Registration Deadline: August 22, 2013
Hotel Discount Rate Cut-off Date: August 29, 2013

PROGRAM HIGHLIGHTS

Sept 22nd, Sunday : TUTORIALS
Sept 23rd, Monday : CONFERENCE DAY 1
Keynote by Raj Yavatkar (Intel Fellow)
Session 1. Characterizing Parallel Workloads
Session 2. Best Paper Session
Session 3. Big Data
Poster Session
Excursion and Dinner (Portland Spirit Cruise on Willamette River)
Sept 24th, Tuesday: CONFERENCE DAY 2
Session 4. Mobile Systems
Session 5. Virtualization and System Management
Session 6. Hot Workloads Special Session (Invited industry speakers)
Session 7. GPUs and Accelerators

FULL PROGRAM DETAILS

Tutorials (Sept 22nd, Sunday)

Half-day (morning) The Sniper Multi-core Simulator (by Ghent University) -
Half-day (afternoon) Modeling Exascale Applications with SST/macro and Eiger
(by Georgia Tech and Sandia National Labs)
Half day (TBA) Genomics and Towards Personalized Medicine (by Intel and OHSU)
06:00-09:00pm Reception

Conference Day 1 (Sept 23rd, Monday)

08:30-09:30am Keynote by Raj Yavatkar (Intel Fellow)
09:30-10:00 Break
10:00-12:00 Session 1. Characterizing Parallel Workloads
Characterizing Multi-threaded Applications for Designing
Sharing-aware Last-level Cache Replacement Policies
(Mis)Understanding the NUMA Memory System Performance of
Multithreaded Workloads
iBench: Quantifying Interference for Datacenter Workloads
Do C and Java Programs Scale Differently on Hardware
Transactional Memory?
12:00-01:30pm Lunch
01:30-03:00 Session 2. Best Paper Session
ACE: Abstracting, Characterizing and Exploiting Datacenter
Power Demands
Quantifying the Energy Cost of Data Movement in Scientific
Applications
Characterizing Data Analysis Workloads in Data Centers
03:00-3:30 Break
03:30-5:00 Session 3. Big Data
HcBench: Methodology, Development, and Characterization of a
Customer Usage Representative Big Data/Hadoop Benchmark
Semantic Characterization of MapReduce Workloads
Characterizing the Efficiency of Data Deduplication for Big Data
Storage Management
05:00-05:30 Poster Session
06:30-09:30pm Excursion and Dinner (Portland Spirit Cruise on Willamette River)

Conference Day 2 (Sept 24th Tuesday)

08:30-10:00am Session 4. Mobile Systems
A Structured Approach to the Simulation, Analysis and
Characterization of Smartphone Applications
WiBench: An Open Source Kernel Suite for Benchmarking Wireless Systems
MobileBench: An Emerging Mobile Platform Benchmark Suite; Performance,
Energy Characterizations and Its Architectural Implications
10:00-10:30am Break
10:30am-Noon Session 5. Virtualization and System Management
Revisiting the Management Control Plane in Virtualized Cloud
Computing Infrastructure
Modeling Virtual Machines Misprediction Overhead
Performance Implications of System Management Mode
Noon-1:30pm Lunch
01:30-03:30pm Session 6. Hot Workloads Special Session
Invited speakers are Harvey Tuch (VMware), Mei Chen (Intel),
Mike Flynn/Jacob Bower (Maxeler) and Mark Shaw (Microsoft)
03:30-04:00pm Break
04:00-05:30pm Session 7. GPUs and Accelerators
On the performance and energy-efficiency of multi-core SIMD CPUs
and CUDA-enabled GPUs
R-Graph: A Characterization of GPGPU Graph Applications
Platform-independent characterization of function-level communication
in workloads using Dynamic Binary Instrumentation

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