| 2024 | A Profiling-Based Benchmark Suite for Warehouse-Scale Computers. Andreas Abel, Yuying Li, Richard O'Grady, Chris Kennelly, Darryl Gove |
| 2024 | APGPM: Automated PMC-Based Power Modeling Methodology for Modern Mobile GPUs. Pranab Dash, Y. Charlie Hu, Abhilash Jindal |
| 2024 | Accel-Bench: Exploring the Potential of Programming Using Hardware-Accelerated Functions. Abenezer Wudenhe, Yu-Chia Liu, Chris Chen, Hung-Wei Tseng |
| 2024 | Aiding Microprocessor Performance Validation with Machine Learning. Erick Carvajal Barboza, Mahesh Ketkar, Paul Gratz, Jiang Hu |
| 2024 | Architecture-Level Modeling of Photonic Deep Neural Network Accelerators. Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar, Joel S. Emer, Vivienne Sze |
| 2024 | Automatic Extraction of Network Configurations for Realistic Simulation and Validation. Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger |
| 2024 | BTBench: A Benchmark for Comprehensive Binary Translation Performance Evaluation. Xinyu Li, Yanzhi Lan, Gen Niu, Feng Xue, Fuxin Zhang |
| 2024 | BZSim: Fast, Large-Scale Microarchitectural Simulation with Detailed Interconnect Modeling. Panagiotis Strikos, Ahsen Ejaz, Ioannis Sourdis |
| 2024 | Bandwidth Characterization of DeepSpeed on Distributed Large Language Model Training. Bagus Hanindhito, Bhavesh Patel, Lizy K. John |
| 2024 | Bottleneck Scenarios in Use of the Conveyors Message Aggregation Library. Shubhendra Pal Singhal, Akihiro Hayashi, Vivek Sarkar |
| 2024 | Characterizing Dynamic Memory Behavior in WebAssembly Workloads. Yuxin Qin, Dejice Jacob, Jeremy Singer |
| 2024 | Characterizing In-Kernel Observability of Latency-Sensitive Request-Level Metrics with eBPF. Mohammadreza Rezvani, Ali Jahanshahi, Daniel Wong |
| 2024 | Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator. Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhou, Paul N. Whatmough, Yuhao Zhu |
| 2024 | CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption. Negar Neda, Austin Ebel, Benedict Reynwar, Brandon Reagen |
| 2024 | CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool. Tanner Andrulis, Joel S. Emer, Vivienne Sze |
| 2024 | DNA Storage Toolkit: A Modular End-to-End DNA Data Storage Codec and Simulator. Puru Sharma, Gary Goh Yipeng, Bin Gao, Longshen Ou, Dehui Lin, Deepak Sharma, Djordje Jevdjic |
| 2024 | Distributed Training of Neural Radiance Fields: A Performance Characterization. Adrian Zhao, Louis Zhang, Sankeerth Durvasula, Fan Chen, Nilesh Jain, Selvakumar Panneer, Nandita Vijaykumar |
| 2024 | Forward to the Past: An Alternative to Hybrid CPU Design. Sanyam Mehta, Anna Yue |
| 2024 | Gem5-Based Evaluation of CVA6 SoC: Insights into the Architectural Design. Umer Shahid, Ayesha Ahmad, Shanzay Wasim |
| 2024 | Generative AI Beyond LLMs: System Implications of Multi-Modal Generation. Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu |
| 2024 | IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2024, Indianapolis, IN, USA, May 5-7, 2024 |
| 2024 | Infrastructure for Exploring SIMT Architecture in General-Purpose Processors. Nikitha Karman, Kevin Wei, Dylan Scott, Natheesan Ratnasegar, Oguzhan Canpolat, Hieu Mai, Michael Ferdman |
| 2024 | LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna |
| 2024 | Leveraging Memory Expansion to Accelerate Large-Scale DL Training. Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis |
| 2024 | Message from the General Chair; ISPASS 2024. Timothy Rogers |
| 2024 | Message from the Program Chairs; ISPASS 2024. Wim Heirman, Stijn Eyerman |
| 2024 | MindPalace: A Framework for Studying Microarchitecture Design of Function-as-a-Service. Kaifeng Xu, Georgios Tziantzioulis, David Wentzlaff |
| 2024 | MuchiSim: A Simulation Framework for Design Exploration of Multi-Chip Manycore Systems. Marcelo Orenes-Vera, Esin Tureci, Margaret Martonosi, David Wentzlaff |
| 2024 | On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability. Gabin Schieffer, Daniel Araújo de Medeiros, Jennifer Faj, Aniruddha Marathe, Ivy Peng |
| 2024 | Probing Weaknesses in GPU Reliability Assessment: A Cross-Layer Approach. Lishan Yang, George Papadimitriou, Dimitrios Sartzetakis, Adwait Jog, Evgenia Smirni, Dimitris Gizopoulos |
| 2024 | RTune: Towards Automated and Coordinated Optimization of Computing and Computational Objectives of Parallel Iterative Applications. Yonghong Yan, Kewei Yan, Anjia Wang |
| 2024 | SAP: Silicon Authentication Platform for System-on-Chip Supply Chain Vulnerabilities. Md Sami Ul Islam Sami, Jingbo Zhou, Sujan Kumar Saha, Fahim Rahman, Farimah Farahmandi, Mark Tehranipoor |
| 2024 | SEFsim: A Statistically-Guided Fast DRAM Simulator. Debpratim Adak, Hyokeun Lee, Ben Feinberg, Gwendolyn Voskuilen, Clayton Hughes, Huiyang Zhou, Amro Awad |
| 2024 | Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production. Chandra Irugalbandara, Ashish Mahendra, Roland Daynauth, Tharuka Kasthuri Arachchige, Jayanaka L. Dantanarayana, Krisztián Flautner, Lingjia Tang, Yiping Kang, Jason Mars |
| 2024 | SimPoint-Based Microarchitectural Hotspot & Energy-Efficiency Analysis of RISC-V OoO CPUs. Odysseas Chatzopoulos, Maria Trakosa, George Papadimitriou, Wing Shek Wong, Dimitris Gizopoulos |
| 2024 | SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, Karthikeya Gogineni, Peng Wei, Tian Lan, Mohammad Sadrosadati, Onur Mutlu, Guru Venkataramani |
| 2024 | Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury |
| 2024 | Userspace Networking in gem5. Johnson Umeike, Siddharth Agarwal, Nikita Lazarev, Mohammad Alian |
| 2024 | Vision Transformer Computation and Resilience for Dynamic Inference. Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz |
| 2024 | Workload Characterization of Commercial Mobile Benchmark Suites. Victor Kariofillis, Natalie Enright Jerger |
| 2024 | Zatel: Sample Complexity-Aware Scale-Model Simulation for Ray Tracing. Davit Grigoryan, Yuan-Hsi Chou, Tor M. Aamodt |