WDDD Preliminary Program now available!
Call for Papers [PDF]
| Abstract due:
| April 7rd
April 14th (11:59PM, EST)
WDDD provides the computer systems research
community a forum for work that validates or duplicates earlier results;
deconstructs prior findings by providing greater, in-depth insight into causal
relationships or correlations; or debunks earlier findings by describing
precisely how and why proposed techniques fail where earlier successes were
claimed, or succeed where failure was reported.
Traditionally, computer systems conferences and workshops focus almost
exclusively on novelty and performance, neglecting an abundance of interesting
work that lacks one or both of these attributes. A significant part of research-in
fact, the backbone of the scientific method-involves independent validation
of existing work and the exploration of strange ideas that never pan out.
This workshop provides a venue for disseminating such work in our community.
Published validation experiments strengthen existing work, while thorough
comparisons provide new dimensions and perspectives. Studies that refute
or correct existing work also strengthen the research community, by ensuring
that published material is technically correct and has sound assumptions.
Publishing negative or strange or unexpected results will allow future researchers
to learn the hard lessons of others, without repeating their effort.
This workshop will set a high scientific standard for such experiments,
and will require insightful analysis to justify all conclusions. The workshop
will favor submissions that provide meaningful insights and point to underlying
root causes for the failure or success of the technique under investigation.
Acceptable work must thoroughly investigate and clearly communicate why the
proposed technique performs as the results indicate.
- Independent validation of earlier results with meaningful analysis
- In-depth analysis and sensitivity studies that provide further insight
into earlier findings, or identify key parameters or assumptions that affect
- Studies that refute earlier findings, with clear justification and
- Negative results for ideas that intuitively make sense and should
work, along with explanations for why they do not
- Processor architecture/microarchitecture
- Memory hierarchy
- Multiprocessor systems
- Power-efficient architectures
- Dependable architectures
- Compiler/architecture interaction
- Application-specific, reconfigurable, and embedded architectures
Code generation and Optimization
- Feedback-driven optimization
- Phase-based optimization
- Dynamic compilation, adaptive/continuous optimization
- Modulo/trace scheduling
- Efficient profiling techniques
- Binary translation/optimization
- Parallel compilation/compiler support for thread level speculation
- Submit a 200-word abstract plus title and list of authors in plain
text email by April 7, 2006 to firstname.lastname@example.org.
- Submit a 5000-word or less double-spaced manuscript by April
14, 2006 (11:59 PM Eastern) using the online submission
- Mauricio Breternitz, Intel
- Doug Burger, Univ. of Texas at Austin
- Mikko Lipasti, Univ. of Wisconsin-Madison
- Gabriel Loh, Georgia Tech
- Ken Lueh, Intel
- Yale Patt, Univ. of Texas at Austin
- Ryan Rakvic, US Naval Academy
- Mauricio Serrano, IBM Research