Context
While multi-core processors alleviate several problems that are
related to single-core processors -- known as memory wall, power
wall, or instruction-level parallelism wall -- they raise the issue
of the programmability wall. On the one hand, program development
for multi-core processors, especially for heterogeneous multi-core
processors, is significantly more complex than for single-core
processors. On the other hand, programmers have been traditionally
trained for the development of sequential programs, and only a small
percentage of them have experience with parallel programming.
While in the past only a relatively small group of programmers
interested in High Performance Computing (HPC) was concerned with
the parallel programming issues, the situation has changed
dramatically with the appearance of multi-core processors in
commonly used computing systems. Traditionally parallel programs in
HPC community have been developed by heroic programmers using a
simple text editor as programming environment, programming at a
low-level of abstraction, and doing manual performance optimization.
It is expected that with the pervasiveness of multi-core processors
parallel programming will become mainstream, but it can not be
expected that a mainstream programmer will prefer to use the
traditional HPC methods and tools. Therefore, a new book is needed
that describes the state-of-the-art parallel programming methods and
tools to aid the programmers in mastering the efficient programming
of multi-core and many-core systems.
Target audience
All programmers of modern computing systems (considering the current
pervasiveness of multi-core and many-core systems); Chief
Information Officers (CIO); professors, young researchers (doctoral
students and PostDocs), graduate students.
Topics
Chapters should address programming of multi-core or many-core
computing systems. Topics of interest include,
1: Programming Models and Languages
(programming models and languages for homogeneous and heterogeneous
multi-core and many-core systems)
2: Parallel Algorithms and Data-structures
(parallel algorithms and data-structures for homogeneous and
heterogeneous multi-core and many-core systems)
3: Programming Environments
(software development environments/frameworks, compilers, run-time
systems,..)
4: Performance Evaluation and Optimization
(methods and tools for program performance evaluation, optimization,
auto-tuning, design-space exploration,..)
5: Hardware Support Mechanisms for Programmability
(hardware support mechanisms for auto-tuning, synchronization,
scheduling,..)
6: Applications
(applications that illustrate the software development for
homogeneous or heterogeneous multi-core or many-core systems)
Submission
Authors should submit via e-mail to Editors a short (1--2 pages)
chapter proposal (as PDF or plain text) that contains: (1) title,
(2) names and affiliation of authors, (3) abstract, (4) references
of up to five most relevant publications of authors that are related
to the chapter proposal, (5) chapter mission and topics intended to
be covered by the chapter as well as (6) contact author information.
Thereafter, authors of the accepted proposals will receive from the
Editors detailed guidelines on how to prepare the full chapter. This
book is planned to be published in 2011 in the Wiley Series on
"Parallel and Distributed Computing" by John Wiley & Sons, Inc.
More about the publisher is available
here.
Important dates
Chapter proposal: October 8, 2010
Notification of proposal acceptance: November 24, 2010
Full draft chapter submission: February 13, 2011
Notification of conditional chapter acceptance: May 13, 2011
Final version of chapter: May 20, 2011 (Firm Deadline)
Editors
Sabri Pllana, pllana AT par.univie.ac.at, University of Vienna,
Austria, (Corresponding Editor)
Fatos Xhafa, fatos AT lsi.upc.edu, UPC, BARCELONA TECH, Spain
|
