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<div class="WordSection1">
<p class="MsoNormal"><b><span style="font-size:20.0pt;font-family:"Aptos",sans-serif;color:black">ICICLE Release 2025-05</span></b><span style="font-size:20.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">The ICICLE team aims to build the next generation Cyberinfrastructure (CI) to render Artificial Intelligence (AI) more accessible to everyone and to drive its democratization
further in solving larger societal problems.<o:p></o:p></span></p>
</div>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">It is with great pleasure that we announce
<b><i>2025-05</i></b> release of ICICLE CI components.<o:p></o:p></span></p>
</div>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">This release includes the following components:<o:p></o:p></span></p>
</div>
<p class="MsoNormal" style="background:white"><b><span style="font-size:18.0pt;font-family:"Aptos",sans-serif;color:black">New to ICICLE CI Catalog</span></b><span style="font-size:18.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:15.0pt;font-family:"Aptos",sans-serif;color:black">Intelligent Cyberinfrastructure</span></b><span style="font-size:15.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">AI Foundations</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/github.com/ICICLE-ai/forte-api__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9K8htFdc$" title="https://github.com/ICICLE-ai/forte-api">Forte
v0.1.0</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level2 lfo1">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">A robust out-of-distribution (OOD) detection middleware that protects ML models from processing data they weren’t trained to handle. Forte uses a multi-stage approach leveraging pretrained vision
models (CLIP, ViT-MSN, DINOv2) to extract features, compute topology-aware representations, and detect anomalies without requiring OOD examples during training.<o:p></o:p></span></li></ul>
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo1">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/github.com/ICICLE-ai/PEFT_Vision__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9qv5eh54$" title="https://github.com/ICICLE-ai/PEFT_Vision">PEFT
Vision v0.1</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level2 lfo1">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">A Systematic Framework for Parameter-Efficient Fine Tuning (PEFT) in Visual Recognition. PEFT Vision implements 16 parameter-efficient fine-tuning (PEFT) methods, and enables consistent, reproducible
evaluations of PEFT techniques across computer-vision workloads.<o:p></o:p></span></li></ul>
</ul>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">AI for CI-for-AI</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo2">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/huggingface.co/datasets/ICICLE-AI/ResourceEstimation_HLOGenCNN__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9n8izxqw$" title="https://huggingface.co/datasets/ICICLE-AI/ResourceEstimation_HLOGenCNN">HLO
Feature Dataset for AI Resource Estimation v0.0.1</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level2 lfo2">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">A dataset containing High-Level Optimizer (HLO) graph features and metadata extracted from deep learning training workloads. It supports tasks such as runtime prediction, resource estimation, graph
machine learning, and HPC scheduling optimization. Each entry includes model configuration metadata and associated HLO graph data stored in
</span><code><span style="font-size:10.0pt">.npz</span></code><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"> format.<o:p></o:p></span></li></ul>
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo2">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/github.com/ICICLE-ai/SMART-COMPILER__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9uOB7dao$" title="https://github.com/ICICLE-ai/SMART-COMPILER">Smart
Compiler v1.0</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level2 lfo2">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">A Smart Compiler using AI models and traditional compiler techniques to enhance the performance scalability of C programs and Python programs. By profiling, and finding approaches for optimizations.<o:p></o:p></span></li></ul>
</ul>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Software Architecture and Design</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo3">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/github.com/ICICLE-ai/tapisui-extension-icicle/tree/main__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9rT-rt2Y$" title="https://github.com/ICICLE-ai/tapisui-extension-icicle/tree/main">ICICLEAI
TapisUI Extension v0.1.0</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level2 lfo3">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">A TapisUI extension written in Typescript/React for exposing ICICLEAI functionality to TapisUI deployments for the ‘icicleai’ tenant.<o:p></o:p></span></li></ul>
</ul>
<p class="MsoNormal"><b><span style="font-size:15.0pt;font-family:"Aptos",sans-serif;color:black">Use Inspired Science</span></b><span style="font-size:15.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Smart Foodsheds</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo4">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/huggingface.co/ICICLE-AI/FoodFlow_GNN_Model__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9qi23OQY$" title="https://huggingface.co/ICICLE-AI/FoodFlow_GNN_Model">Food
Flow Prediction GNN v1.0.0</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level2 lfo4">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">A graph Neural Network model for predicting food flow between FAF zones using GAT and GCN architectures. The model feature include Graph Attention Networks (GAT), Graph Convolutional Networks (GCN),
hurdle model for zero-inflated regression, edge feature processing, and node embedding.<o:p></o:p></span></li></ul>
</ul>
<p class="MsoNormal" style="background:white"><b><span style="font-size:18.0pt;font-family:"Aptos",sans-serif;color:black">ICICLE CI Components Changelog</span></b><span style="font-size:18.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><b><span style="font-size:15.0pt;font-family:"Aptos",sans-serif;color:black">Intelligent Cyberinfrastructure</span></b><span style="font-size:15.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">CI-for-AI</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo5">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/github.com/ICICLE-ai/ArrayMorph/tree/main__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9CD0sqIg$" title="https://github.com/ICICLE-ai/ArrayMorph/tree/main">ArrayMorph
For Cloud HDF5 v1.1</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level2 lfo5">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Support for Microsoft Azure.<o:p></o:p></span></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level2 lfo5">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">File upload/download performance optimization.<o:p></o:p></span></li></ul>
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo5">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/github.com/ICICLE-ai/ct-controller/tree/main__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9z3mMlN0$" title="https://github.com/ICICLE-ai/ct-controller/tree/main">Hardware
& Software Provisioning Service v0.2</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level2 lfo5">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Delete the remote run directory after the application has finished running.<o:p></o:p></span></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level2 lfo5">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">If a specific model id is specified to the camera traps applications, pass it as model_id instead of model_type.<o:p></o:p></span></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level2 lfo5">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Specify a 6 hour lease for Chameleon hardware, rather than the default 1 day.<o:p></o:p></span></li><li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level2 lfo5">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Use ad-hoc floating IPs rather than floating IP reservation leases.<o:p></o:p></span></li></ul>
</ul>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Software Architecture and Design</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo6">
<b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><a href="https://urldefense.com/v3/__https:/tapis.readthedocs.io/en/latest/index.html__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9ZZKNrNs$" title="https://tapis.readthedocs.io/en/latest/index.html">Base
ICICLE Tapis Software v1.8.2</a></span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif"><o:p></o:p></span></li><ul type="circle">
<li class="MsoNormal" style="color:black;mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level2 lfo6">
<span style="font-size:12.0pt;font-family:"Aptos",sans-serif">Bug fixes.<o:p></o:p></span></li></ul>
</ul>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">The ICICLE team is committed to delivering the best software and CI components. We welcome your feedback and suggestions for future releases. A list of all ICICLE
components can be found on our website under <a href="https://urldefense.com/v3/__https:/icicle.ai/cyberinfrastructure/software__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9n7Pipww$" title="https://icicle.ai/cyberinfrastructure/software">
CI & Software</a>.<o:p></o:p></span></p>
</div>
<div>
<p class="MsoNormal" style="line-height:14.25pt"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Training materials for the components can be found under Education & Outreach |
<a href="https://urldefense.com/v3/__https:/icicle-ai.github.io/training-catalog/__;!!KGKeukY!1zWtxDLMKaeZE7g-tY9kbnHqa88Hu3MNL6qRfUFJ_8aOMGVMzdr_juPxi3Ivr4BPqsRWM6li9wx4vNmG7P61X7hPGOG9FsTAIoA$" title="https://icicle-ai.github.io/training-catalog/">
Training Materials</a>.<o:p></o:p></span></p>
</div>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Please subscribe to
<a href="https://lists.osu.edu/mailman/listinfo/icicle-discuss" title="https://lists.osu.edu/mailman/listinfo/icicle-discuss">
icicle-discuss</a> and post to discuss all installation/build problems, performance issues, features and other miscellaneous questions related to the different software and CI components of the ICICLE project. You are welcome to post patches and enhancements
to the released components.<o:p></o:p></span></p>
</div>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Subscribe to our mailing list
<a href="https://lists.osu.edu/mailman/listinfo/icicle-announce" title="https://lists.osu.edu/mailman/listinfo/icicle-announce">
icicle-announce</a> to stay up to date on the latest ICICLE news and releases.<o:p></o:p></span></p>
</div>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">Acknowledgements</span></b><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
<div style="margin-top:12.0pt;margin-bottom:12.0pt">
<p class="MsoNormal"><i><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black">This release is brought to you by the National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in
the Environment (ICICLE) (OAC 2112606)</span></i><span style="font-size:12.0pt;font-family:"Aptos",sans-serif;color:black"><o:p></o:p></span></p>
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