Main Conference: List of Accepted Papers

1. Characterization of Data Compression in Datacenters

Geonhwa Jeong (Georgia Institute of Technology), Bikash Sharma (Meta), Nick Terrell (Meta), Abhishek Dhanotia (Meta), Zhiwei Zhao (Meta), Niket Agarwal (Nvidia), Arun Kejariwal (Meta), Tushar Krishna (Georgia Institute of Technology)

2. Genomics-GPU: A Benchmark Suite for GPU-Accelerated Genome Analysis

Zhuren Liu (University of North Texas), Shouzhe Zhang (University of North Texas), Justin Garrigus (University of North Texas), Hui Zhao (University of North Texas)

3. Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale

William Won (Georgia Institute of Technology), Taekyung Heo (Georgia Institute of Technology), Saeed Rashidi (Georgia Institute of Technology), Srinivas Sridharan (Meta), Sudarshan Srinivasan (Intel), Tushar Krishna (Georgia Institute of Technology)

4. Profiling gem5 Simulator

Johnson Umeike (University of Kansas), Neel Patel (University of Kansas), Alex Manley (University of Kansas), Amin Mamandipoor (University of Kansas), Heechul Yun (University of Kansas), Mohammad Alian (University of Kansas)

5. PES: An Energy and Throughput Model for Energy Harvesting IoT Systems

Fatemeh Ghasemi (Norwegian University of Science and Technology), Lukas Liedtke (Norwegian University of Science and Technology), Magnus Jahre (Norwegian University of Science and Technology)

6. PyTFHE: An End-to-End Compilation and Execution Framework for Fully Homomorphic Encryption Applications (Tool Paper Submission)

Jiaao Ma (Duke University), Ceyu Xu (Duke University), Lisa Wu Wills (Duke University)

7. MBPlib: Modular Branch Prediction Library

Emilio Dominguez-Sanchez (University of Murcia), Alberto Ros (University of Murcia)

8. Exploring the Efficiency of Data-Oblivious Programs

Lauren Biernacki (University of Michigan), Meron Zerihun Demissie (University of Michigan), Biniyam Mengist Tiruye (University of Michigan), Fitsum Assamnew Andargie (Addis Ababa University, University of Michigan), Brandon Reagen (New York Univeristy), Todd Austin (University of Michigan)

9. Simulating Wrong-Path Instructions in Decoupled Functional-First Simulation

Stijn Eyerman (Intel), Sam Van den Steen (Intel), Wim Heirman (Intel), Ibrahim Hur (Intel)

10. Evaluating Machine Learning Workloads on Memory-Centric Computing Systems

Juan Gómez-Luna (ETH Zürich), Yuxin Guo (ETH Zürich), Sylvan Brocard (UPMEM), Julien Legriel (UPMEM), Remy Cimadomo (UPMEM), Geraldo F. Oliveira (ETH Zürich), Gagandeep Singh (ETH Zürich), Onur Mutlu (ETH Zürich)

11. TransPimLib: Efficient Transcendental Functions for Processing-in-Memory Systems

Maurus Item (ETH Zürich), Juan Gómez-Luna (ETH Zürich), Yuxin Guo (ETH Zürich), Geraldo F. Oliveira (ETH Zürich), Mohammad Sadr (ETH Zürich), Onur Mutlu (ETH Zürich)

12. Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads

Yanwen Xu (University of California Santa Cruz), Ang Li (Princeton University), Tyler Sorensen (University of California Santa Cruz)

13. A Novel Simulation Methodology for Silicon Photonic Switching Fabrics

Markos Kynigos (The University of Manchester), Javier Navaridas (The University of the Basque Country), Jose Antonio Pascual (The University of the Basque Country), Mikel Lujan (The University of Manchester)

14. A Characterization of the Effects of Software Instruction Prefetching on an Aggressive Front-end

Gino Chacon (Texas A&M University), Nathan Gober (Texas A&M University), Krishnendra Nathella (Arm Corp.), Paul Gratz (Texas A&M University), Daniel Jimenez (Texas A&M University)

15. Evaluating the Impact of Optimizations for Dynamic Binary Modification on 64-bit RISC-V

John Kressel (University of Manchester), Guillermo Callaghan (University of Manchester), Cosmin Gorgovan (University of Manchester), Mikel Lujan (University of Manchester)

16. Is the Future Cold or Tall? Design Space Exploration of Cryogenic and 3D Embedded Cache Memory

Alexander Hankin (Harvard University), Lillian Pentecost (Amherst College), Dongmoon Min (Seoul National University), David Brooks (Harvard University), Gu-Yeon Wei (Harvard University)

17. MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration

Mohsin Shan (University of Connecticut), Deniz Gurevin (University of Connecticut) Jared Nye (University of Connecticut), Caiwen Ding (University of Connecticut), Omer Khan (University of Connecticut)

18. Early-Adaptor: An Adaptive Framework For Proactive UVM Memory Management

Seokjin Go (Yonsei University), Hyunwuk Lee (Yonsei University), Junsung Kim (Yonsei University), Jiwon Lee (Yonsei University), Myung Kuk Yoon (Ewha Womans University), Won Woo Ro (Yonsei University)

19. MQL: ML assisted Queuing Latency Analysis for Datacenter Networks

Shruti Yadav Narayana (University of Wisconsin-Madison), Jie Tong (University of Wisconsin-Madison), Anish Krishnakumar (University of Wisconsin-Madison), Nuriye Yildirim (University of Wisconsin-Madison), Emily Shriver (Intel Labs), Mahesh Ketkar (Intel Labs), Umit Y Ogras (University of Wisconsin-Madison)

20. CFU Playground: Full-Stack Open-Source Framework For TinyML Acceleration

Shvetank Prakash (Harvard University), Tim Callahan (Google), Joseph Bushagour (Purdue University), Colby Banbury (Harvard University), Alan V. Green (Google), Pete Warden (Stanford University), Tim Ansell (Google), Vijay Janapa Reddi (Harvard University)

21. Community-based Matrix Reordering for Sparse Linear Algebra Optimization

Vignesh Balaji (NVIDIA), Neal Crago (NVIDIA), Aamer Jaleel (NVIDIA), Stephen W. Keckler (NVIDIA)

22. An Application-Oriented Approach to Designing Hybrid CPU Architectures

Anna Yue (HPE), Sanyam Mehta (HPE)

23. Boreas: A Cost-Effective Mitigation Method for Advanced Hotspots using Machine Learning and Hardware Telemetry

David Werner (Tufts and AMD), Maziar Amiraski (Tufts), Alexander Hankin (Harvard and Intel), Kaushik Vaidyanathan (Google), Julien Sebot (Intel), Mark Hempstead (Tufts)

24. RPU: The Ring Processing Unit

Deepraj Soni (New York University), Negar Neda (New York University), Naifeng Zhang (Carnegie Mellon University), Benedict Reynwar (USC Information Sciences Institute), Homer Gamil (New York Univeristy), Benjamin Heyman (New York University), Mohammed Nabeel Thari Moopan (New York University Abu Dhabi), Ahmad Al Badawi (Duality Technologies), Yuriy Polyakov (Duality Technologies), Kellie Canida (USC Information Sciences Institute), Andrew Schmidt (USC Information Sciences Institute), Massoud Pedram (USC Viterbi School of Engineering), David Bruce Cousins (Duality Technologies), Matthew French (USC Information Sciences Institute), Franz Franchetti (Carnegie Mellon University), Michail Maniatakos (New York University Abu Dhabi), Brandon Reagen (New York University)

25. AMPeD: An Analytical Model for Performance in Distributed Training of Transformers

Diksha Moolchandani (IMEC), Joyjit Kundu (IMEC), Frederik Ruelens (IMEC), Peter Vrancx (IMEC), Timon Evenblij (IMEC), Manu Perumkunnil (IMEC)

26. Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA

Matthew Adiletta (Harvard University), Jesmin Tithi (Intel Corporation), Emmanouil-Ioannis Farsarakis (Intel Corporation), Gerasimos Gerogiannis (Intel Corporation), Robert Adolf (Intel Corporation), Robert Benke (Intel Corporation), Sidharth Kashyap (Intel Corporation), Samuel Hsia (Harvard University), Kartik Lakhotia (Intel Corporation), Fabrizio Petrini (Intel Corporation), Gu-Yeon Wei (Harvard University), David Brooks (Harvard University)

27. Sieve: Stratified GPU-Compute Workload Sampling

Mahmood Naderan-Tahan (Ghent University), Seyyed Hossein Seyyed Aghaei Rezaei (Ghent University), Lieven Eeckhout (Ghent University)

28. Sunstone: A Scalable and Versatile Scheduler for Mapping Tensor Algebra on Spatial Accelerators

MohammadHossein Olyaiy (University of British Columbia), Christopher Ng (University of British Columbia), Alexandra (Sasha) Fedorova (University of British Columbia and MongoDB), Mieszko Lis (University of British Columbia)

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