To promote advancements in modeling and simulation (ModSim) research,
we are soliciting community input in the form of abstracts. If accepted,
author(s) will be invited to offer a presentation at the annual
gathering of our community, the ModSim 2019 Workshop.
Topic Areas
The overarching theme for this year's workshop is Full-system
Modeling and Simulation. The emphasis will be on methodologies, tools,
best practices, projects, and initiatives that aim to address the
challenges and achieve the goal of modeling performance of full systems
under a realistic application workload. Abstract contributions should
focus on the following topical areas while maintaining a global view of
"system" in consideration:
- Modeling and Simulation of Artificial Intelligence and
Machine Learning as a Method of ModSim - Artificial
Intelligence (AI), in general, and Machine Learning (ML), in
particular, have emerged as important application drivers in all
forms of computing, including large-scale data- and
numerically-intensive high-performance computing (HPC). The trend’s
impact extends beyond the nature of architectures optimized for
executing an ML workload. It also points the way toward applying
AI/ML techniques as ModSim methodologies to support a range of
systems (including but not limited to AI-centric systems). Thus,
abstract submissions in this category should cover topics such as
novel architectures to efficiently support AI/ML workloads, ML as a
methodology for ModSim, and intelligent computational steering
driven by dynamic and offline learning.
- Integrative Methodologies and Tools for Full-system
Modeling and Simulation - This category covers modeling and
simulation technologies to predict performance, energy consumption,
and cost of the whole system. A typical system comprises several
subsystems with a breadth of architectures and exercises a broad
spectrum of applications and workloads. It is highly desirable to
optimize the whole system using ModSim with a level of effort
commensurate with the resulting accuracy and precision. This
workshop seeks abstracts that highlight how to further the state of
the art, as well as future research directions in this field.
- Modeling and Simulation of Subsystems - The
blending of compute, memory devices, storage, and interconnect
combined with application software profoundly impacts current and
future computing systems in terms of performance, reliability,
predictability, power consumption, and cost. Existing technologies
are perceived as limited in terms of compute power, capacity, and
bandwidth. Emerging technology approaches offer the potential to
overcome both technology- and design-related limitations, addressing
system requirements for many different applications. Modeling and
simulating these subsystems is tremendously important, principally
by affording the ability to characterize and quantify data movement,
as well as estimate power consumption and other related behaviors in
large-scale systems. Abstract submissions should relate to computer
subsystem technologies and their characterization and/or provide use
cases that describe how ModSim can help to overcome these
significant challenges.
Submission Guidelines
There is no set word limit for
abstract submissions. However, please limit your submission to one page.
The abstract should provide an overview that adequately summarizes the
topic(s) presented and any proposed impact on ModSim research or
techniques, especially related to full-system modeling and simulation.
The following details a proposed abstract layout and points to consider:
- Abstract title
- Primary research area:
- Modeling and Simulation of Artificial Intelligence and
Machine Learning as a Method of ModSim
- Modeling and Simulation of Subsystems
- Integrative Methodologies and Tools for Full-system Modeling
and Simulation
- What is being modeled? (e.g., performance, reliability, power, other)
- What is the target application?
- What modeling techniques are being used?
- What is novel about the approach versus current state of the art?
- Are preliminary results available?
Important Dates
Sun., Jan 27, 2019 |
Abstract submission opens |
Fri., May 10, 2019 |
Deadline to submit an abstract |
Fri., May 31, 2019 |
Notification of acceptance (by e-mail) |
All abstracts must follow submission guidelines and submitted through EasyChair no later than Friday, May 10, 2019 11:59 PM (EST).
Those with accepted abstracts will be notified via e-mail on Friday, May 31, 2019.
Apply Now Abstract submission is now closed.
Need Assistance?
For questions or assistance, please contact the following:
Patricia Foy (Workshop Coordinator)
(631) 344-5037
pfoy@bnl.gov
Last Modified: October 29, 2021