{"id":434,"date":"2025-08-04T19:55:52","date_gmt":"2025-08-04T19:55:52","guid":{"rendered":"https:\/\/carlaconference.org\/?page_id=434"},"modified":"2025-08-04T19:55:52","modified_gmt":"2025-08-04T19:55:52","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/carlaconference.org\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"\n
Title<\/strong><\/td>Authors<\/strong><\/td><\/tr>
Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads<\/td>Zojer, P., Posner, J., \u00d6zden, T.<\/td><\/tr>
NUMA-Aware FIFO Scheduling: Optimizing Data Movement for the Montage Workflow<\/td>Vivas, A., Castro, H.<\/td><\/tr>
ACCLAIM: Accelerating Long Context LLM Inference on Heterogeneous Edge Platforms<\/td>Jayanth, R., Chien Lin, Y., Kundu, S., Mathaikutty, D., Prasanna, V.<\/td><\/tr>
Parallel\/distributed computing for optimizing investment planning in electricity markets<\/td>Freire, S., Nesmachnow, S., Moreno, P.<\/td><\/tr>
Fast Sorting for the RISC-V ‘V’ Vector Extension<\/td>Salmun, D., Mocskos, E.<\/td><\/tr>
Good Sustainability Practices for Data Center: A Systematic Literature Review<\/td>Brito Guimar\u00e3es, J., Barbosa, F., Damasceno, E., Queiroz, F., Amar\u00eds, M.<\/td><\/tr>
Subgroup and SIMD Optimization of RTM Kernels in Intel SYCL for Portable Performance<\/td>K\u00fcnas, C., Freytag, G., Paulino, E., Zuvanov, F., Sardinha, A., Navaux, P., Carissimi, A.<\/td><\/tr>
Machine Learning for Predicting Job States and CPU Power on a Supercomputer<\/td>Benavides Castillo, D., Quir\u00f3s Corella, F., Meneses, E.<\/td><\/tr>
Leveraging Local Data Share for Efficient Stencil Computation in the Fletcher Model on AMD MI250X<\/td>Lorenzon, A., Sardinha, A., Navaux, P.<\/td><\/tr>
Profiling a task-based molecular dynamics application with a data science approach<\/td>Asch, C., Mello Schnorr, L., Meneses, E.<\/td><\/tr>
Investigating the Impact of DVFS on the Energy Efficiency of AI Workloads on GPUs<\/td>Lorenzon, A., Goncalves, T.<\/td><\/tr>
A Scientific Data Integrity system based on Blockchain<\/td>Mier Bello, G., Barrios Hernandez, C., Mart\u00ednez M\u00e9ndez, A., Rivas, R., Nu\u00f1ez Villavicencio, L.<\/td><\/tr>
A Scalable and Reproducible Parsl Framework for Molecular evolutionary Analyses on HPC Systems<\/td>Terra, R., Oliveira, H., Janies, D., Rocha, H., Carvalho, D., Osthoff, C., Oca\u00f1a, K.<\/td><\/tr>
Performance and Energy Consumption Prediction of Scientific Workflows using Machine Learning<\/td>Barbosa, F., de Souza Ara\u00fajo, J., Amar\u00eds, M., Damasceno, E., Queiroz, F., Brito Guimar\u00e3es, J., Cordeiro, D.<\/td><\/tr>
Optimizing the Energy-Efficiency of QMCPACK on Aurora Supercomputer via GPU Sharing<\/td>Costa, M., Navaux, P., Rizzi, S., Lorenzon, A.<\/td><\/tr>
Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies: Driving Computational Efficiency in Large-Scale Platforms<\/td>Mart\u00ednez M\u00e9ndez, A., Rubio Montero, A., Barrios Hernandez, C., Asorey, H., Mayo-Garc\u00eda, R., Nu\u00f1ez Villavicencio, L.<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Title Authors Evaluating Malleable Job Scheduling in HPC Clusters using Real-World Workloads Zojer, P., Posner, J., \u00d6zden, T. NUMA-Aware FIFO Scheduling: Optimizing Data Movement for the Montage Workflow Vivas, A., Castro, H. ACCLAIM: Accelerating Long Context LLM Inference on Heterogeneous Edge Platforms Jayanth, R., Chien Lin, Y., Kundu, S., Mathaikutty, D., Prasanna, V. Parallel\/distributed computing for optimizing investment planning in electricity markets Freire, S., Nesmachnow, S., Moreno, P. Fast Sorting for the RISC-V ‘V’ Vector Extension Salmun, D., Mocskos, E. Good Sustainability Practices for Data Center: A Systematic Literature Review Brito Guimar\u00e3es, J., Barbosa, F., Damasceno, E., Queiroz, F., Amar\u00eds, M. Subgroup and SIMD Optimization of RTM Kernels in Intel SYCL for Portable Performance K\u00fcnas, C., Freytag, G., Paulino, E., Zuvanov, F., Sardinha, A., Navaux, P., Carissimi, A. Machine Learning for Predicting Job States and CPU Power on a Supercomputer Benavides Castillo, D., Quir\u00f3s Corella, F., Meneses, E. Leveraging Local Data Share for Efficient Stencil Computation in the Fletcher Model on AMD MI250X Lorenzon, A., Sardinha, A., Navaux, P. Profiling a task-based molecular dynamics application with a data science approach Asch, C., Mello Schnorr, L., Meneses, E. Investigating the Impact of DVFS on the Energy Efficiency of AI Workloads on GPUs Lorenzon, A., Goncalves, T. A Scientific Data Integrity system based on Blockchain Mier Bello, G., Barrios Hernandez, C., Mart\u00ednez M\u00e9ndez, A., Rivas, R., Nu\u00f1ez Villavicencio, L. A Scalable and Reproducible Parsl Framework for Molecular evolutionary Analyses on HPC Systems Terra, R., Oliveira, H., Janies, D., Rocha, H., Carvalho, D., Osthoff, C., Oca\u00f1a, K. Performance and Energy Consumption Prediction of Scientific Workflows using Machine Learning Barbosa, F., de Souza Ara\u00fajo, J., Amar\u00eds, M., Damasceno, E., Queiroz, F., Brito Guimar\u00e3es, J., Cordeiro, D. Optimizing the Energy-Efficiency of QMCPACK on Aurora Supercomputer via GPU Sharing Costa, M., Navaux, P., Rizzi, S., Lorenzon, A. Driving Computational Efficiency in Large-Scale Platforms using HPC Technologies: Driving Computational Efficiency in Large-Scale Platforms Mart\u00ednez M\u00e9ndez, A., Rubio Montero, A., Barrios Hernandez, C., Asorey, H., Mayo-Garc\u00eda, R., Nu\u00f1ez Villavicencio, L.<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-434","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/pages\/434","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/comments?post=434"}],"version-history":[{"count":1,"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/pages\/434\/revisions"}],"predecessor-version":[{"id":435,"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/pages\/434\/revisions\/435"}],"wp:attachment":[{"href":"https:\/\/carlaconference.org\/wp-json\/wp\/v2\/media?parent=434"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}