| 2024 | Towards Exascale Simulations of Nanoelectronic Devices in the GW Approximation. | Leonard Deuschle, Alexander Maeder, Vincent Maillou, Nicolas Vetsch, Anders Winka, Jiang Cao, Alexandros Nikolaos Ziogas, Mathieu Luisier |
| 2024 | CANARI: A Monitoring Framework for Cluster Analysis and Node Assessment for Resource Integrity. | Ryan T. DeRue, Jacob Verburgt |
| 2024 | Hands-On Learning: Teaching Parallel and Distributed Computing through Unplugged Activities in Undergraduate CS Courses. | Anurag Dasgupta, Venkat Margapuri, Simon Shamoun, Shubbhi Taneja, Matthew Toups |
| 2024 | Secure Collaborative Model Training with Dynamic Federated Learning in Multi-Domain Environments. | Anestis Dalgkitsis, Alexandros Koufakis, Jorrit Stutterheim, Aleandro Mifsud, Priyanka Atwani, Leon Gommans, Cees de Laat, Chrysa Papagianni, Ana Oprescu |
| 2024 | Towards Highly Compatible I/O-Aware Workflow Scheduling on HPC Systems. | Yiqin Dai, Ruibo Wang, Yong Dong, Kai Lu |
| 2024 | Performance Measurement on Heterogeneous Processors with PAPI. | Willow E. Cunningham, Vincent M. Weaver |
| 2024 | Introduction to Parallel and Distributed Programming using N-Body Simulations. | Alexander Van Craen, Marcel Breyer, Dirk Pflger |
| 2024 | Improving transition to IPv6-only via RFC8925 and IPv4 DNS Interventions : A case study in implementing an IPv6-only testbed which informs IPv4-only clients why internet access is unavailable. | Tom Costello, Nick Buraglio, Andy Fleming, Ben Tasker, Brandon Siegel |
| 2024 | Are Noise-Resilient Logical Timers Useful for Performance Analysis? | Gregor Corbin, Nour Daoud, Bernd Mohr, Gustavo de Morais, Felix Wolf |
| 2024 | COAXIAL: A CXL-Centric Memory System for Scalable Servers. | Albert Cho, Anish Saxena, Moinuddin Qureshi, Alexandros Daglis |
| 2024 | LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. | Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath |
| 2024 | Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime. | Smeet Chheda, Gaurav Verma, Shilei Tian, Barbara M. Chapman, Johannes Doerfert |
| 2024 | A Scalable Algorithm for Active Learning. | Youguang Chen, Zheyu Wen, George Biros |
| 2024 | Modeling and Simulation of Collective Algorithms on HPC Network Topologies using Structural Simulation Toolkit. | Sai P. Chenna, Michael Steyer, Nalini Kumar, Maria Garzaran, Philippe Thierry |
| 2024 | Experiences in Managing High-performance Computing Management and Support Tools while Upgrading a Campus Cluster. | Yuwu Chen, Trevor Cooper, Christopher Irving, Mahidhar Tatineni, Nicole Wolter, Dmitry Mishin, Subhashini Sivagnanam |
| 2024 | Accelerating Multi-GPU Embedding Retrieval with PGAS-Style Communication for Deep Learning Recommendation Systems. | Yuxin Chen, Aydin Bulu, Katherine A. Yelick, John D. Owens |
| 2024 | Shared Memory-Aware Latency-Sensitive Message Aggregation for Fine-Grained Communication. | Kavitha Chandrasekar, Laxmikant V. Kal |
| 2024 | Efficient Tree-based Parallel Algorithms for N-Body Simulations Using C++ Standard Parallelism. | Thomas Lane Cassell, Tom Deakin, Aksel Alpay, Vincent Heuveline, Gonzalo Brito Gadeschi |
| 2024 | Portability of Fortran's 'do concurrent' on GPUs. | Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary S. Tschirhart, Nicholas Malaya |
| 2024 | Security Testbed for Preempting Attacks against Supercomputing Infrastructure. | Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2024 | Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. | Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-Mei Hwu, Deming Chen, Dejan S. Milojicic |
| 2024 | Jupyter Notebook Attacks Taxonomy: Ransomware, Data Exfiltration, and Security Misconfiguration. | Phuong Cao |
| 2024 | Achieving High-Performance Fault-Tolerant Routing in HyperX Interconnection Networks. | Cristbal Camarero, Alejandro Cano, Carmen Martnez, Ramn Beivide |
| 2024 | A Flang Plugin for Fortran Feature Characterization. | Anthony M. Cabrera, David E. Bernholdt |
| 2024 | PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. | Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari |