[hpc-announce] CFP: 2025 IEEE International Symposium on Workload Characterization (IISWC 2025) [Deadline Extended: June 30]

[Daniel Wong]

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[CFP] 2025 IEEE International Symposium on Workload Characterization (IISWC
2025)

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Call for Papers for The 2025 IEEE International Symposium on Workload
Characterization (IISWC 2025)
October 12 - 14, 2025
Irvine, CA, USA

https://urldefense.us/v3/__https://iiswc.org/iiswc2025/__;!!G_uCfscf7eWS!YMrdY1ZYxXPnAW-xfzng8edCCYO_VZo9UWHrLmSLiljXVPhYZf-UqzrUPx2_ClIWeg1o8bHhc8Ye70GwYYwfdDM$ 

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Important Deadlines

Paper Submission: June 30, 2025 **Extended**
Rebuttal Period: July 27, 2025 – August 2, 2025
Author Notification: August 12, 2025
Camera-ready Deadline: September 1, 2025

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IISWC invites manuscripts that present original unpublished research in all
areas related to the characterization and analysis of computing system
workloads, including translational research related to production-oriented
commercial systems. Work focusing on emerging technologies and
interdisciplinary work are especially welcome. Topics of interest include
(but are not limited to) characterization of applications in traditional
and emerging domains, characterization of system software and middleware,
implications of workloads in system design, benchmarking methodologies and
suites, and tools for computer systems. A detailed list of the topics can
be found at the end of this CFP.

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Submission Guidelines

Submissions to IISWC can be made in one of the following two categories:
(1) regular papers and (2) tool and benchmark papers. Authors are expected
to use the IISWC 2025 submission template. The primary focus of regular
papers (submission length: 10 pages, excluding references) should be to
describe new research ideas supported by experimental implementation and
evaluation of the proposed research ideas. The primary focus of tool and
benchmark papers should be to describe the design, development, and
evaluation of new open-source tools and benchmarks suites. Submissions in
the regular papers category are also encouraged to open-source their
software or hardware artifacts.

The authors are required to indicate the category of the paper as a part of
the submitted manuscript’s title. On the submission system entry, we ask
the authors to add a prefix to the title indicating the type of the
submission as follows: 1. regular papers: “Regular-TITLE” and 2. tool and
benchmark papers: “Tools-TITLE”.

Papers in the tool and benchmark category with relatively shorter length (6
pages) are welcome if the contributions can be well articulated and
substantiated. However, all submissions in the tool and benchmark category
have the flexibility of using all 10 pages (excluding references).

The submissions in both categories will be evaluated to the same standards
in terms of novelty, scientific value, demonstrated usefulness, and
potential impact to the field. The nature of the contribution differs
between the two categories (new research idea vs. new open-source
benchmark-suite / tool) and papers will be evaluated based on the intended
nature of the contribution, as declared by the chosen paper category at the
time of the submission. The chosen category at the time of the submission
cannot be changed after the submission deadline.

Double-blind submission guidelines apply to the submissions in both
categories.

Open-source benchmarks and tools that have not been previously published
(but may have been open-sourced) are eligible for submission in the tool
and benchmark papers category. When including source code links in their
submission, we require the authors to use new or anonymized code
repositories to preserve the integrity of double-blind review process. All
submitted papers should have obtained legal permission (if applicable) to
open-source the benchmark-suite / tool at the time of submission.

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Artifact Evaluation

This year, IISWC will continue to include an artifact evaluation process to
promote the reproducibility of experimental results. We will invite the
authors of accepted IISWC papers to submit their supporting materials to
the Artifact Evaluation process, which is to assess how the artifacts
support the work described in the papers. This submission will be voluntary
and will not influence the final decision regarding acceptance of the
paper. The description of the artifact will not be included in the page
limit. The artifact submission deadline will be shortly after the
notification of the paper’s acceptance — authors should prepare in advance
to ensure sufficient time for artifact assembly and documentation. More
details of artifact evaluation will be made available to the authors of the
accepted paper.

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Topics of Interest

Characterization of applications in domains including:

  - Life sciences, bioinformatics, scientific computing, finance,
forecasting
  - Machine learning, deep learning, generative AI and LLMs, data
analytics, data mining
  - Cyber-physical systems, pervasive computation, and Internet of Things
(IoT)
  - Security and privacy-preserving computing
  - High performance computing
  - Cloud and edge computing
  - Mobile computing
  - Human-computer interaction (HCI)
  - Search engines, e-commerce, web services, and databases
  - Embedded, multimedia, real-time, 3D-graphics, gaming
  - Blockchain services
  - Augmented reality and virtual reality

Characterization of workloads for emerging workloads and architectures,
such as

  - Accelerator-based computing
  - Quantum computations and communication
  - Serverless computing
  - Near-threshold computing
  - Near data processing architectures
  - Neuromorphic and brain-inspired computing
  - Transactional memory systems
  - Biology (e.g., DNA sequencing) and chemistry workloads

Characterization of OS, Virtual Machine, middleware and library behavior,
including

  - Virtual machines, .NET, Java VM, databases
  - Graphics libraries, scientific libraries
  - Operating system and hypervisor effects and overheads

Implications of workloads in system design, such as

  - Power-aware computing and carbon footprinting
  - Dependable system and software architectures
  - Security, privacy, performance
  - Processors, memory hierarchy, I/O, and networks
  - Design of accelerators, FPGAs, GPUs, CGRAs, etc.
  - Large-scale computing infrastructures and facilities

Benchmark methodologies and suites, including

  - Representative benchmarks for emerging workloads
  - Benchmark cloning methods
  - Profiling, trace collection, synthetic traces
  - Validation of benchmarks

Measurement tools and techniques, including

  - Measurement tools and software for carbon footprinting
  - Instrumentation methodologies for workload verification and
characterization
  - Techniques for accurate analysis/measurement of production systems
  - Analytical and abstract modeling of program behavior and systems