| 2026 | RACER: A Caching Layer based Optimization for Accelerating Reinforcement Learning Workloads. | Kailash Gogineni, Yongsheng Mei, Karthikeya Gogineni, Peng Wei, Tian Lan, Guru Venkataramani |
| 2026 | Hardware Generation and Exploration of Lookup Table-Based Accelerators for 1.58-bit LLM Inference. | Robin Geens, Joran Heldens, Joren Dumoulin, Marian Verhelst |
| 2026 | FlexNoC: Fast and Flexible Analysis for NoCs with Arbitrary Topologies and Hybrid Arbitration. | Anuparna Ganguly, Rahul Tripathy, Tyson Loveless, Mohammad Majharul Islam, Sumit K. Mandal |
| 2026 | Characterization and Performance Analysis of Aging Effect on Enterprise HDDs. | Ava Dezhban, Mohammadamin Ajdari, Hossein Asadi |
| 2026 | Macsim Mini: A Lightweight Cycle-Level GPU Simulator for Architecture Education. | Euijun Chung, Saurabh Singh, Huanzhi Pu, Yuxiao Jia, Anurag Kar, Sam Jijina, Scott Madeira, Hyesoon Kim |
| 2026 | Theodosian: A Deep Dive into Memory-Hierarchy-Centric FHE Acceleration. | Wonseok Choi, Hyunah Yu, Jongmin Kim, Hyesung Ji, Jaiyoung Park, Jung Ho Ahn |
| 2026 | LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure. | Jaehong Cho, Hyunmin Choi, Guseul Heo, Jongse Park |
| 2026 | CCPA: A Concurrent Content Processing Architecture for Hardware Firewalls. | Shuangliang Chen, Saptadeep Pal, Rakesh Kumar |
| 2026 | CryptOracle: A Modular Framework to Characterize FHE. | Cory Brynds, Parker McLeod, Lauren Caccamise, Asmita Pal, Dewan Saiham, Sazadur Rahman, Joshua San Miguel, Di Wu |
| 2026 | Understanding BTB Tag Sizing. | Roman Brunner, Rakesh Kumar |
| 2026 | Cleaning up the Mess: Re-Evaluating the Real-System Modeling Accuracy of Ramulator 2.0. | F. Nisa Bostanci, Haocong Luo, Ataberk Olgun, Maria Makeenkova, Geraldo F. Oliveira, A. Giray Yagliki, Onur Mutlu |
| 2026 | LLM4PART: From CallGraphs to Bottleneck Partitions with LLM-Enhanced Insights. | Vyuhita Bonthu, Venkatesh Pasumarti, Ashwin Krishnan, Manoj Nambiar |
| 2026 | Characterization of Coherent Data Movement in Scaled-Out Shared Memory Systems. | Maryam Babaie, Michael R. Miller, Wendy Elsasser, Steven C. Woo, Jason Lowe-Power |
| 2026 | Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units. | Udari De Alwis, Benjamin E. Mayer, Tom J. Ashby, Maria Barrera, Timon Evenblij, Joyjit Kundu |
| 2026 | Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware. | Ilkin Aliyev, Jesus Lopez, Tosiron Adegbija |
| 2025 | A Real-Time, Auto-Regression Method for in-Situ Feature Extraction in Hydrodynamics Simulations. | Kewei Yan, Yonghong Yan |
| 2025 | Dissecting Performance Overheads of Confidential Computing on GPU-based Systems. | Yang Yang, Mohammad Sonji, Adwait Jog |
| 2025 | Evaluation of MindPalace for Chip Design Tradeoffs on Function-as-a-Service. | Kaifeng Xu, Georgios Tziantzioulis, David Wentzlaff |
| 2025 | Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. | Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi |
| 2025 | PowerSensor3: A Fast and Accurate Open Source Power Measurement Tool. | Steven van der Vlugt, Leon C. Oostrum, Gijs Schoonderbeek, Ben van Werkhoven, Bram Veenboer, Krijn Doekemeijer, John W. Romein |
| 2025 | Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures. | Prabhu Vellaisamy, Thomas Labonte, Sourav Chakraborty, Matt Turner, Samantika Sury, John Paul Shen |
| 2025 | Measuring Performance Overheads of Software Memory Management Using Functional-First Simulators. | Yves Vandriessche, Wim Heirman, Ed Nutting, Jeremy Birch, Judah Daniels, Mae Hood, Pascal Costanza |
| 2025 | Carbon-Aware Server Replacement. | Iris Uwizeyimana, Natalie Enright Jerger |
| 2025 | Analysis of the RISC-V Vector Extension for Vulkan Graphics Kernels. | Martin Troiber, Martin Schulz, Blaise Tine, Hyesoon Kim |
| 2025 | Interconnect Performance Estimation for ML Accelerators via Lightweight Analytical Model. | Rahul Tripathy, Sumit K. Mandal |