[HiPEAC-announce] ISPASS 2009: call for participation
Lieven.Eeckhout at elis.UGent.be
Lieven.Eeckhout at elis.UGent.be
Tue Mar 10 11:47:57 CET 2009
***********************************************************************
* CALL FOR PARTICIPATION *
* *
* ISPASS 2009 *
* *
* http://ispass.org *
* *
* Boston, Massachusetts *
* *
* April 26-28, 2009 *
* *
* EARLY REGISTRATION DEADLINE: April 10, 2009 *
* *
* *
***********************************************************************
We invite you to participate in the 2009 IEEE International Symposium
on Performance Analysis of Systems and Software. This annual
international conference provides a forum for sharing advanced and
well-established academic and industrial R&D work focused on
performance analysis in the design of systems and software. For this
year's exciting mix of system modelling and performance analysis,
please see the advanced program below. Refer to:
http://ispass.org/ispass2009/ for more registration information.
***********************************************************************
*** ADVANCED PROGRAM ***
***********************************************************************
Sunday - April 20 (Sunday)
=========================
WORKSHOPs (UCAS-4, NetEval-2009, VPACT-2009) and Tutorials
MONDAY APRIL 27, 2009
=====================
*****9:00 ? 10:00*****
Keynote
Session chair: Lieven Eeckhout
Title: Accelerating Architecture Research
Speaker: Joel Emer, Intel
Abstract:
With the recent demonstration of 32nm processors we have seen Moore's
law providing another large increase in the number of transistors.
While more transistors provides architects with a great opportunity, I
believe we have been observing increasing challenges in finding the
most effective uses for these transistors. Design team size, mask
costs and fabrication costs are all increasing, thus there is
increasing desire to make the right decisions about which research
ideas to bring forward to design. Unfortunately, our existing
evaluation methodologies are proving increasingly ineffective at
providing compelling evidence that a new idea warrants inclusion in
future designs. In this talk, I will elaborate on these challenges and
discuss some approaches to improve on our ability to prove the merit
of architectural ideas. In particular, there is a recent movement
toward using field-programmable gate arrays (FPGAs) as the basis for
the evaluating future systems. Therefore, I will outline the
alternative approaches to using FPGAs with an emphasis on using FPGAs
to do performance modeling. But designing hardware models is far more
complicated than writing software models, so included in the
discussion will be techniques to reduce that complexity. These will
include a practical approach to modularizing the model, separation of
the functional and timing aspects of the simulation, and additional
infrastructure important for performance modeling.
Bio:
Dr. Joel S. Emer is an Intel Fellow working in the Digital Enterprise
Group, where he is director of micro-architecture research. Before
joining Intel he spent 22 years as a Digital/Compaq employee, where he
worked on processor architecture, performance analysis and performance
modeling methodologies for a number of VAX and Alpha CPUs. He is
widely recognized for his architecture contributions to various VAX
and Alpha processors, also for pioneering efforts in simultaneous
multithreading, for his analysis of the architectural impact of soft
errors and for his seminal work on the now pervasive quantitative
approach to processor evaluation. He also has researched heterogeneous
distributed systems and networked file systems at DEC and during a
three year sabbatical at MIT. His current research interests include
processor reliability, multithreaded processor organizations,
techniques for increased instruction level parallelism, pipeline
organization, instruction and data cache organizations, branch
prediction schemes, and performance modeling. Dr. Emer holds a Ph.D.
in Electrical Engineering from the University of Illinois, and
M.S.E.E. and B.S.E.E. degrees from Purdue University. He is also a
Fellow of both the ACM and the IEEE.
*****10:00 ? 10:30*****
Break
*****10:30 ? 12:00*****
Session 1: Real Hardware Measurements
Session chair: TBD
Characterizing Infrared Measurements for Chip Thermal Management
Wei Huang, University of Virginia
Kevin Skadron, University of Virginia
Sudhanva Gurumurthi, University of Virginia
Robert Ribando, University of Virginia
Mircea R. Stan, University of Virginia
User- and Process-Driven Dynamic Voltage and Frequency Scaling
Bin Lin, Intel
Arindam Mallik, IMEC
Peter Dinda, Northwestern University
Gokhan Memik, Northwestern University
Robert Dick, Northwestern University
On the accuracy of performance counter measurements
Dmitrijs Zaparanuks, University of Lugano
Milan Jovic, University of Lugano
Matthias Hauswirth, University of Lugano
*****12:00 ? 13:30*****
Lunch
*****13:30 ? 15:00*****
Session 2: Tools
Session chair: TBD
GARNET: A Detailed On-Chip Network Model inside a Full-System Simulator
Niket Agarwal, Princeton University
Tushar Krishna, Princeton University
Li-Shiuan Peh, Princeton University
Niraj Jha, Princeton University
Cetra: A trace and analysis framework for the evaluation of Cell BE systems
Julio Merino, Universitat Politècnica de Catalunya
Lluc Alvarez, Universitat Politècnica de Catalunya
Marisa Gil, Universitat Politècnica de Catalunya
Nacho Navarro, Universitat Politècnica de Catalunya
Zesto: A Cycle-Level Simulator for Highly Detailed Microarchitecture
Exploration
Gabriel H. Loh, Georgia Tech
Samantika Subramaniam, Georgia Tech
Yuejian Xie, Georgia Tech
*****15:00 ? 15:30*****
Break
*****15:30 ? 17:00*****
Session 3: Parallelism
Session chair: TBD
Parallelism in Irregular Applications
Milind Kulkarni, The University of Texas at Austin
Martin Burtscher, The University of Texas at Austin
Calin Cascaval, IBM Research
Keshav Pingali, The University of Texas at Austin
Exploring Speculative Parallelism in SPEC2006
Venkatesan Packirisamy, University of Minnesota
Antonia Zhai, University of Minnesota
Pen-Chung Yew, University of Minnesota
Machine Learning Based Online Performance Prediction for Runtime
Parallelization and Task Scheduling
Jiangtian Li, North Carolina State University
Xiaosong Ma, North Carolina State University and Oak Ridge National Laboratory
Karan Singh, Cornell University
Martin Schulz , Lawrence Livermore National Laboratory
Bronis R. de Supinski, Lawrence Livermore National Laboratory
Sally A. McKee, Cornell University
*****15:30 ? 17:00*****
Session 4: Architecture/OS Effects
Session chair: TBD
WARP: Enabling Fast CPU Scheduler Development and Evaluation
Haoqiang Zheng, VMware and Columbia University
Jason Nieh, Columbia University
CMPSched$im: Evaluating OS/CMP Interaction on Shared Cache Management
Jaideep Moses, Intel
Konstantinos Aisopos, Princeton University
Ravi Iyer, Intel
Ramesh Illikkal, Intel
Don Newell, Intel
Aamer Jaleel, Intel
Srihari Makineni, Intel
Understanding the cost of thread migration in Java multi-threaded
applications running on a multi-core
Qi Ming Teng, IBM
Peter F. Sweeney, IBM
Evelyn Duesterwald, IBM
TUESDAY APRIL 28, 2009
======================
*****9:00 ? 10:00*****
Keynote
Title: Performance Analysis in the Real World of On Line Services
Speaker: Dileep Bhandarkar, Microsoft
Abstract:
Performance analysis has always been an integral part of a computer
architect's agenda. However, the term performance is used largely to
measure "speed". The dictionary defines performance more broadly as"
the manner in which or the efficiency with which something reacts or
fulfills its intended purpose". In today's internet based on line
computing environment, performance has taken a broader view. For
example, power and energy efficiency is becoming as or more important
measures of system performance as speed of computation. The industry's
ability to deliver speed has outpaced the ability of most applications
to consume it effectively. This talk will discuss how performance is
viewed in the world of on line web services from an end user's point
of view.
Bio:
Dr. Dileep Bhandarkar joined Microsoft as a Distinguished Engineer
responsible for Server Hardware Architecture and Standards for Global
Foundation Services in May 2007. Global Foundation Services delivers
the foundational platform for Microsoft?s Online Services, including
MSN and Windows Live-branded services, Microsoft communication and
collaboration services, as well as 150 additional services and Web
portals.
He was elected an IEEE Fellow in 1997 for contributions and technical
leadership in the design of complex and reduced instruction set
architecture and in computer system performance analysis. In 1998, he
was recognized as a Distinguished Alumnus of the Indian Institute of
Technology, Bombay, where he received his B. Tech in Electrical
Engineering in 1970. He also has a M.S. and Ph.D. in Electrical
Engineering from Carnegie Mellon University, and has done graduate
work in Business Administration at the University of Dallas.
Prior to joining Microsoft, he was Director of Advanced Architecture
in the CTO Office of Intel?s Digital Enterprise Group and a lead
spokesperson for evangelizing Intel server platform technologies to
the industry and financial analysts. He was an Intel Distinguished
Lecturer for several years. He has held several Director-level
positions related to CPU and Platform Architecture, and Strategic
Planning over a 12 year career at Intel. He was instrumental in
driving the strategic decision to implement AMD compatible 64-bit x86
architecture at Intel, and pioneered the adoption of energy efficient
microprocessor cores across Intel?s product line.
Prior to joining Intel in 1995, he spent almost 18 years at Digital
Equipment Corporation, where he managed processor and system
architecture, and performance analysis work related to the VAX, Prism,
MIPS, and Alpha architectures. He also worked at Texas Instruments for
4 years in their research labs in a variety of areas including
magnetic bubble memories, charge coupled devices, fault tolerant
memories, and computer architecture.
Dr. Bhandarkar holds 16 U.S. Patents and has published more than 30
technical papers in various journals and conference proceedings. He is
also the author of a book titled Alpha Implementations and
Architecture. He has delivered several invited keynote speeches at
computer and financial industry conferences.
*****10:00 ? 10:30*****
Break
*****10:30 ? 12:00*****
Session 5: Workload Characterization and Modeling
Session chair: TBD
The Data-centricity of Web 2.0 Workloads and its Impact on Server Performance
Moriyoshi Ohara, IBM Research
Priya Nagpurkar, IBM Research
Yohei Ueda, IBM Research
Kazuaki Ishizaki, IBM Research
Characterizing and Optimizing the Memory Footprint of De Novo Short
Read DNA Sequence Assembly
Jeffrey J. Cook, University of Illinois at Urbana-Champaign
Craig Zilles, University of Illinois at Urbana-Champaign
An Analytic Model of Software Transactional Memory
Armin Heindl, University of of Erlangen-Nuremberg, Germany
Gilles Pokam, Intel Corporation
Ali-Reza Adl-Tabatabai, Intel Corporation
*****12:00 ? 13:30*****
Lunch
*****13:30 ? 15:00*****
Session 6: GPU Workloads and Trace Compression
Session chair: Bronis de Supinski (LLNL)
Performance Analysis of GPU Compute Workloads via Detailed Simulation
Ali Bakhoda, University of British Columbia
George Lai Yuan, University of British Columbia
Wilson W. L. Fung, University of British Columbia
Henry Wong, University of British Columbia
Tor M. Aamodt, University of British Columbia
Evaluating SIMD/GPU Architectures as a Platform for Network Packet
Signature Matching
Randy Smith, University of Wisconsin--Madison
Neelam Goyal, University of Wisconsin--Madison
Justin Ormont, University of Wisconsin--Madison
Karthikeyan Sankaralingam, University of Wisconsin--Madison
Cristian Estan, University of Wisconsin--Madison
Online compression of cache-filtered address traces
Pierre Michaud, INRIA/IRISA
*****15:00 ? 15:30*****
Break
*****15:30 ? 17:00*****
Session 7: Branch Prediction and Phase Detection
Session chair: TBD
Analysis of the TRIPS prototype block predictor
Nitya Ranganathan, University of Texas at Austin
Doug Burger, Microsoft Research
Stephen W. Keckler, University of Texas at Austin
Experiment Flows and Microbenchmarks for Reverse Engineering of Branch
Predictor Structures
Vladimir Uzelac, University of Alabama in Huntsville
Aleksandar Milenkovic, University of Alabama in Huntsville
Analyzing the Impact of On-chip Network Traffic on Program Phases for CMPs
Yu Zhang, Northwestern University
Gokhan Memik, Northwestern University
Berkin Ozisikyilmaz, Northwestern University
John Kim, Northwestern University
Alok Choudhary, Northwestern University
*****15:30 ? 17:00*****
Session 8: Simulation
Session chair: TBD
SuiteSpecks and SuiteSpots: A Methodology for the Automatic Conversion of
Benchmarking Programs into Intrinsically Checkpointed Assembly Code
Jeff Ringenberg, University of Michigan
Trevor Mudge, University of Michigan
Accurately Approximating Superscalar Processor Performance from Traces
Kiyeon Lee, University of Pittsburgh
Shayne Evans, Lime Brokerage, LLC
Sangyeun Cho, University of Pittsburgh
QUICK: A Flexible Full-System Functional Model
Dam Sunwoo, The University of Texas at Austin
Joonsoo Kim, The University of Texas at Austin
Derek Chiou, The University of Texas at Austin
----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.
More information about the HiPEAC-announce
mailing list