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upd cfp for 2025
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K-Wu committed Nov 28, 2024
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6 changes: 3 additions & 3 deletions 2025/_includes/dates.html
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<h1>Important Dates (AoE)</h1>
<div id="description">
<p><b>Paper Submission:</b> TBD </p>
<p><b>Paper Notification:</b> TBD </p>
<p><b>Camera-ready Deadline:</b> TBD </p>
<p><b>Paper Submission:</b> January 17, 2025 </p>
<p><b>Paper Notification:</b> February 17, 2025 </p>
<p><b>Camera-ready Deadline:</b> March 6th, 2025 </p>
</div>
2 changes: 1 addition & 1 deletion 2025/_includes/instructions.html
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Expand Up @@ -9,7 +9,7 @@ <h1>Papers Submission Instructions</h1>

<p>Submissions will be judged based on relevance, significance, originality, correctness, and clarity.</p>

<p>Submission site: <a href="https://easychair.org/conferences/?conf=ashes2024">https://easychair.org/conferences/?conf=ashes2025</a></p>
<p>Submission site: <a href="https://easychair.org/conferences/?conf=ashes2025">https://easychair.org/conferences/?conf=ashes2025</a></p>

</div>

110 changes: 75 additions & 35 deletions 2025/cfp.html
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layout: default
title: AsHES Workshop
---
<div style="color: red; text-align: center; font-size: 6rem;">Under Constrution</div>
<div id="sub-frame">
<h1>Workshop Scope and Goals</h1>
<div id="description">
<h1>Workshop Scope and Goals</h1>
<div id="description">

<p>The current computing landscape has witnessed a rapid and ongoing surge of change and innovation. This change has been driven by the relentless need to improve the energy-efficiency, memory, and computational throughput across all levels of the architectural hierarchy. The mounting volume of data that today's systems need to organize poses new challenges to the architecture, which can no longer be solved with classical, homogeneous designs. Advancements in all these areas have led Heterogeneous systems to become the norm rather than the exception.</p>

Expand All @@ -16,43 +15,84 @@ <h1>Workshop Scope and Goals</h1>
<p>The goal of this workshop is to bring together researchers and practitioners who are at the forefront of Heterogeneous computing to learn the opportunities and challenges in future Heterogeneous system design trends and thus help influence the next trends in this area.</p>


<p><b>Topics of interest include</b> (but are not limited to):</p>
<ul>
<li>Applications for GPU-based systems, and hybrid/heterogeneous systems</li>
<li>Techniques for optimizing kernels for execution on GPUs, FPGAs, TPUs, DPUs, and new emerging heterogeneous platforms</li>
<li>Strategies for programming heterogeneous systems using high-level models such as OpenMP, OpenACC, SYCL, OneAPI, Kokkos, Raja, and low-level models such as OpenCL, CUDA</li>
<li>Methods and tools to tackle challenges from heterogeneity in AI/ML/DL, Big Data, Cloud Computing, Edge-Computing, Real-time Systems, and High-Performance Computing</li>
<li>Strategies for application behavior characterization and performance optimization for accelerators</li>
<li>Models of application performance on heterogeneous and accelerated HPC systems</li>
<li>Compiler Optimizations and tuning heterogeneous systems including parallelization, loop transformation, locality optimizations, vectorization</li>
<li>Implications of workload characterization in heterogeneous and accelerated architecture design</li>
<li>Benchmarking and performance evaluation for heterogeneous systems at all levels of the system stack</li>
<li>Tools and techniques to address both performance and correctness to assist application development for accelerators and heterogeneous processors</li>
<li>System software techniques to abstract application domain-specific functionalities for accelerators</li>
<li>Innovative use of heterogeneous computing in AI for science or optimizations for AI</li>
<li>Design and use of domain-specific functionalities on accelerators</li>
</ul>
<p><b>Topics of interest include</b> (but are not limited to):</p>
Applications for GPU-based systems, and hybrid/heterogeneous systems
<ul>
<li>Applications leveraging GPUs, FPGAs, TPUs, DPUs, and On-Chip Accelerators</li>
<li>AI/ML workloads including generative AI training/inference (e.g. LLMs, LDMs), recommendation systems and
AI for
science and engineering</li>
<li>Scientific and engineering applications</li>
<li>Big data and cloud computing workloads</li>
<li>Edge computing and real-time applications</li>
<li>Application behavior characterization and performance analysis</li>
<li>Domain-specific applications and benchmarks</li>
</ul>

<p><b>Paper Tracks:</b></p>
Systems Architecture and Design
<ul>
<li>Heterogeneous system architectures (ARM, RISC-V, custom extensions)</li>
<li>Memory hierarchies and novel memory systems</li>
<li>Energy efficiency and thermal considerations</li>
<li>Security and reliability in heterogeneous systems</li>
<li>Design space exploration and trade-off analysis</li>
<li>Performance modeling and prediction</li>
<li>Emerging accelerator architectures (dataflow, neuromorphic, etc.)</li>
</ul>

<p>There are two paper tracks available for AsHES’24:</p>
<ul>
<li>1) Full paper track (8 - 10 pages) including citations;</li>
<li>2) Short paper track (maximum of 4 pages) including citations; meant to highlight early investigations of innovative ideas.</li>
</ul>
Programming Models and Development Tools
<ul>
<li>High-level programming models (OpenMP, OpenACC, SYCL, OneAPI, Kokkos, Raja)</li>
<li>Low-level programming interfaces (OpenCL, CUDA)</li>
<li>Debugging and profiling tools</li>
<li>Performance optimization and autotuning frameworks</li>
<li>Testing and verification methods for heterogeneous systems</li>
<li>Workload characterization tools</li>
<li>Benchmarking suites and methodologies</li>
</ul>

<p>Submitted papers will undergo a single-blind review process, so the authors do not need to anonymize a submission.</p>
Heterogeneous System Software and Runtime Systems
<ul>
<li>Compiler optimizations for heterogeneous systems</li>
<li>Runtime systems and resource management</li>
<li>Operating system support for heterogeneous computing</li>
<li>Virtualization and containerization for heterogeneous systems</li>
<li>Task scheduling and load balancin</li>
<li>Memory management and data movement optimization</li>
<li>System-level monitoring and telemetry</li>
<li>Integration of heterogeneous components and interfaces</li>
<li>Communication software/middleware for heterogeneous systems</li>
</ul>

</div> <!-- End of Workshop Scope and Goals -->
<p><b>Paper Tracks:</b></p>

{% include dates.html %}
<p>There are two paper tracks available for AsHES’25:</p>
<ul>
<li>1) Full paper track (10 pages) including citations;</li>
<li>2) Short paper track (maximum of 4 pages) including citations; meant to highlight early investigations
of innovative ideas.</li>
</ul>

<h1>Proceedings</h1>
<div id="description">
The proceedings of this workshop will be published electronically together with IPDPS proceedings via the IEEE Xplore Digital Library. Instructions for authors can be found on the IPDPS 2024 <a href="https://www.ipdps.org/ipdps2024/2024-author-resources.html">webpage</a>.
</div> <!-- End of Proceedings -->
<p>Submitted papers will undergo a single-blind review process, so the authors do not need to anonymize a
submission.</p>

{% include instructions.html %}
{% include journal.html %}
</div> <!-- End of Workshop Scope and Goals -->

</div> <!-- End of sub-frame -->
{% include dates.html %}

<h1>Best-paper award</h1>
<div id="description">
The best paper will receive a certificate of recognition. This award will be given based on the paper's
originality, impact, and overall quality
</div> <!-- End of Best-paper award -->

<h1>Proceedings</h1>
<div id="description">
The proceedings of this workshop will be published electronically together with IPDPS proceedings via the IEEE
Xplore Digital Library.
</div> <!-- End of Proceedings -->

{% include instructions.html %}
{% include journal.html %}

</div> <!-- End of sub-frame -->

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