ACM/SPEC ICPE'17 - Call for Participation (Italy, April 2017)

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ACM/SPEC ICPE'17 - Call for Participation (Italy, April 2017) fithos89@gmail.com (=?UTF-8?B?QW5kcmVhIFJvc8Og?=) (2017-03-13)
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From: =?UTF-8?B?QW5kcmVhIFJvc8Og?= <fithos89@gmail.com>
Newsgroups: comp.compilers
Date: Mon, 13 Mar 2017 22:26:29 -0700 (PDT)
Organization: Compilers Central
Keywords: conference, performance

                                                                                ICPE 2017
                        8th ACM/SPEC International Conference on Performance Engineering


                          B B B B B B B Sponsored by ACM SIGMETRICS, SIGSOFT, and SPEC RG


B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B L'Aqu
ila, Italy
B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B April
22-27, 2017


B B B B B B B B B B B B B B B
B B B B B B B B B B B https://icpe2017.spec.org/
--


The goal of the International Conference on Performance Engineering (ICPE) is
to integrate theory and practice in the field of performance engineering by
providing a forum for sharing ideas and experiences between industry and
academia. Nowadays, complex systems of all types, like Web-based systems, data
centers and cloud infrastructures, social networks, peer-to-peer, mobile and
wireless systems, cyber-physical systems, the Internet of Things, real-time
and embedded systems, have increasingly distributed and dynamic system
architectures that provide high flexibility, however, also increase the
complexity of managing end-to-end application performance.


ICPE brings together researchers and industry practitioners to share and
present their experiences, discuss challenges, and report state-of-the-art and
in-progress research on performance engineering of software and systems,
including performance measurement, modeling, benchmark design, and run-time
performance management. The focus is both on classical metrics such as
response time, throughput, resource utilization, and (energy) efficiency, as
well as on the relationship of such metrics to other system properties
including but not limited to scalability, elasticity, availability,
reliability, and security.


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--


PROGRAM


ICPE'17 takes place from April 22 to 27, 2017.
The main conference runs from April 24 to 26, with a welcome reception on
April 24 and a banquet on April 25.
Tutorials are held on April 22 and 23, while workshops take place on April 22,
23, and 27.


The preliminary program is available at
https://icpe2017.spec.org/conference-program.html


The following eight workshops will be held in conjunction with the main
conference:


- Saturday, April 22:
-- ACPROSS: Autonomous Control for Performance and Reliability Trade-offs in
Internet of Services
-- PABS: Third International Workshop on Performance Analysis of Big Data
Systems
-- WOSP-C: Workshop on Challenges in Performance Methods for Software
Development


- Sunday, April 23:
-- ENERGY-SIM: Third International Workshop on Energy-aware Simulation
-- LTB: Sixth International Workshop on Load Testing and Benchmarking of
Software Systems
-- MoLS: First International Workshop on Monitoring in Large-Scale Software
Systems
-- WEPPE: Workshop on Education and Practice of Performance Engineering


- Thursday, April 27:
-- QUDOS: Third International Workshop on Quality-aware DevOps


More information on the workshops can be found at
https://icpe2017.spec.org/conference-program/conference-workshops.html




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--


REGISTRATION


Registration is open! To register to ICPE'17 or to the co-located workshops
and tutorials, please follow the instruction at the following link:
https://icpe2017.spec.org/registration.html.


Early registration deadline: March 24, 2017




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--


KEYNOTE


We are proud to announce our keynote speakers for ICPE'17:


--------------------------------------


Arif Merchant
(Google)


Title: Autonomic storage management at scale


Abstract:
Cloud data centers use enormous amounts of storage, and it is critical to
monitor, manage, and optimize the storage autonomically. Optimally configuring
storage is difficult because storage workloads are very diverse and change
over time. Data centers measure running workloads, but this measurement data
stream is itself quite large. We present some real world case studies in the
use of big data techniques, sampling, and optimization to manage storage in
data centers.


Short bio:
Arif Merchant is a Research Scientist at Google and leads the Storage
Analytics group, which studies interactions between components of the storage
stack. His interests include distributed storage systems, storage management,
and stochastic modeling. He holds the B.Tech. degree from IIT Bombay and the
Ph.D. in Computer Science from Stanford University. He is an ACM Distinguished
Scientist.


--------------------------------------


Francesco Quaglia
(University of Rome "La Sapienza")


Title: Performance is Also a Matter of Where You Live


Abstract:
Nowadays, a plethora of techniques and methods are available to optimize the
runtime behavior of complex applications, ranging from modeling/prediction
tools to the employment of recognized patterns and/or knowledge-bases on the
expected performance under specific workloads. However, in common scenarios,
the ultimate applications' behavior may depend on features that are scarcely
predictable or difficult to be taken into account when designing the
applications and their own runtime optimizers. Among them, we mention the
actual structure of the underlying hardware and/or virtualized platforms, as
well as specific runtime dynamics such as thread correlation on data and
synchronization---not much the average behavior, rather punctual effects. We
believe that the environment where applications live, like operating systems
and user-space runtime libraries, play a central role in coping with these
features. We similarly believe that such environments must be re-staged so as
to be actually effective in pursuing the performance optimization goal. In
this talk, we discuss specific guidelines to re-stage the environments, based
on a real experience, and we point as well to challenges that are still
untackled and deserve attention by the research community.


Short bio:
Francesco Quaglia received the Laurea degree (MS level) in Electronic
Engineering in 1995 and the PhD degree in Computer Engineering in 1999 from
the University of Rome ``La Sapienza''. From summer 1999 to summer 2000 he
held an appointment as a Researcher at the Italian National Research Council
(CNR). Since January 2005 he works as an Associate Professor at the School of
Engineering of the University of Rome ``La Sapienza", where he has previously
worked as an Assistant Professor since September 2000 to December 2004. His
main research interests are in the areas of high performance computing,
dependable computing, transactional systems, operating systems, automatic code
parallelization, performance analysis and optimization. Currently, he is the
director of the HPDCS (High Performance and Dependable Computing Systems)
Research Lab at the University of Rome ``La Sapienza''.


--------------------------------------


Thomas Wuerthinger
(Oracle Labs)


Title: Micro-Benchmarking Considered Harmful
Subtitle: When the Whole is Faster or Slower Than the Sum of its Parts


Abstract:
Measuring the time spent on small individual fractions of program code is a
common technique for analysing performance behavior and detecting performance
bottlenecks. The benefits of the approach include a detailed individual
attribution of performance and understandable feedback loops when
experimenting with different code versions. There are however severe pitfalls
when following this approach that can lead to vastly misleading results.
Modern optimizing compilers use complex optimization techniques that take a
large part of the program into account. There can be therefore unexpected
side-effects when combining different code snippets or even when running a
presumably unrelated part of the code. This talk will present performance
paradoxes with examples from the domain of dynamic compilation of Java
programs. Furthermore, it will discuss an alternative approach to modelling
code performance characteristics that takes the challenges of complex
optimising compilers into account.


Short Bio:
Thomas Wuerthinger is a Senior Research Director at Oracle Labs leading
programming language implementation teams for languages including Java,
JavaScript, Ruby, and R. He is the architect of the Graal compiler and the
Truffle self-optimizing runtime system. Previously, he worked on the
Crankshaft optimizing compiler of V8 at Google, and the Maxine research
virtual machine at Sun Microsystems. He received a PhD degree from JKU Linz
for his research about dynamic code evolution.




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--


ORGANIZING COMMITTEE


General Chairs
* Walter Binder, UniversitC della Svizzera italiana (USI), Switzerland
* Vittorio Cortellessa, UniversitC dell'Aquila, ItalyB
Research Program Chairs
* Anne Koziolek, Karlsruhe Institute of Technology, Germany
* Evgenia Smirni, College of William and Mary, USA
Industry Program Chairs
* Meikel Poess, Oracle, USA
Tutorials Chair
* Valeria Cardellini, UniversitC di Roma Torvergata, Italy
Workshops Chairs
* Hanspeter MC6ssenbC6ck, Johannes Kepler UniversitC$t Linz, Austria
* Catia Trubiani, Gran Sasso Science Institute, Italy
Posters and Demos Chair
* Lubomir Bulej, Charles University, Czech Republic
Awards Chairs
* Petr Tuma, Charles University, Czech Republic
* Murray Woodside, Carleton University, Canada
Local Organization ChairB
* Antinisca Di Marco, UniversitC dell'Aquila, Italy
Publicity Chairs
* Andrea RosC , UniversitC della Svizzera italiana (USI), Switzerland
* Diego Perez, Politecnico di Milano, Italy
Finance Chair
* AndrC) van Hoorn, University of Stuttgart
Publication and Registration ChairB
* Davide Arcelli, UniversitC dell'Aquila, ItalyB
Web Site Chair
* Daniele Di Pompeo, UniversitC dell'Aquila, Italy


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---


CONTACTS


Do not hesitate to contact the general chairs at <walter.binder@usi.ch> and
<vittorio.cortellessa@univaq.it> for more information about ICPE'17 and the
co-located venues.


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