| Time |
What |
| 08:00 |
Opening |
| 08:30 |
Keynote: Saman Amarasinghe, Massachusetts Institute of Technology. |
| 09:30 |
Break |
| 10:00 |
Session 1: Machine Learning (4 papers)
- GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters
Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung (Seoul National University); Youngsok Kim (Yonsei University); Jinho Lee (Seoul National University)
- Activation Sequence Caching: High-Throughput and Memory-Efficient Generative Inference with a Single GPU
Sowoong Kim, Eunyeong Sim (UNIST); Youngsam Shin, YeonGon Cho (Samsung Advanced Institute of Technology); Woongki Baek (UNIST)
- Improving Throughput-oriented LLM Inference with CPU Computations
Daon Park, Bernhard Egger (Seoul National University)
- BOOM: Use your Desktop to Accurately Predict the Performance of Large Deep Neural Networks
Qidong Su (University of Toronto / Vector Institute / CentML); Jiacheng Yang (University of Toronto / Vector Institute); Gennady Pekhimenko (University of Toronto / Vector Institute / CentML)
|
| 12:00 |
Lunch (provided) |
| 13:30 |
Session 2: Architecture and Application Co-design (3 papers)
- Demystifying Distributed Optimization Algorithms on a Real-World Processing-In-Memory Architecture
Steve Rhyner, Haocong Luo (ETH Zurich); Juan Gomez Luna (NVIDIA); Mohammad Sadrosadati (ETH Zurich); Jiawei Jiang (Wuhan University); Ataberk Olgun, Harshita Gupta (ETH Zurich); Ce Zhang (University of Chicago); Onur Mutlu (ETH Zurich & Stanford University)
- ZeD: A Generalized Accelerator for Variably Sparse Matrix Computations in ML
Pranav Dangi, Zhenyu Bai, Rohan Juneja, Dhananjaya Wijerathne, Tulika Mitra (National University of Singapore)
- A Parallel Hash Table for Streaming Applications
Magnus Östgren, Ioannis Sourdis (Chalmers University of Technology)
|
| 15:00 |
Break |
| 15:30 |
Session 3: Parallelism (3 papers)
- Leveraging Difference Recurrence Relations for High-Performance GPU Genome Alignment
Alberto Zeni (Politecnico di Milano, Italy); Seth Onken (NVIDIA Corporation); Marco D. Santambrogio (Politecnico di Milano, Italy); Mehrzad Samadi (NVIDIA Corporation)
- ACE: Efficient GPU Kernel Concurrency for Input-Dependent Irregular Computational Graphs
Sankeerth Durvasula, Junan Zhao, Raymond Kiguru, Yushi Guan, Zhonghan Chen, Nandita Vijaykumar (University of Toronto)
- Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search
Jakob Hartmann, Guoliang He, Eiko Yoneki (University of Cambridge)
|
| 17:30 |
Business Meeting |
| Time |
What |
| 08:30 |
Keynote: Andreas Moshovos, University of Toronto |
| 09:30 |
Break |
| 10:00 |
Session 4: Compilers (4 papers)
- A Transducers-based Programming Framework for Efficient Data Transformation
Tri Nguyen, Michela Becchi (North Carolina State University)
- MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations
Akash Dutta, Ali Jannesari (Iowa State University)
- Parallel Loop Locality Analysis for Symbolic Thread Counts
Fangzhou Liu, Yifan Zhu, Shaotong Sun, Chen Ding, Wesley Smith, Kaave Hosseini (University of Rochester
- PipeGen: Automated Transformation of a Single-Core Pipeline into a Multicore Pipeline for a Given Memory Consistency Model
An Qi Zhang (University of Utah) , Andrés Goens (University of Amsterdam), Nicolai Oswald (Nvidia), Tobias Grosser (University of Cambridge), Daniel Sorin (Duke University), Vijay Nagarajan (University of Utah)
|
| 12:00 |
Lunch (provided) |
| 13:30 |
Session 5: Security (4 papers)
- Defensive ML: Adversarial Machine Learning as a Practical Architectural Defense for Side Channels
Hyoungwook Nam (University of Illinois at Urbana-Champaign); Raghavendra Pradyumna Pothukuchi (Yale University); Bo Li, Nam Sung Kim (University of Illinois, Urbana-Champaign); Josep Torrellas (University of Illinois at Urbana Champaign)
- Toast: A Heterogeneous Memory Management System
Maurice Bailleu (Huawei Research); Dimitrios Stavrakakis (TU Munich / The University of Edinburgh); Rodrigo Rocha (Huawei Research); Soham Chakraborty (TU Delft); Deepak Garg (Max Planck Institute for Software Systems (MPI-SWS)); Pramod Bhatotia (TU Munich / The University of Edinburgh)
- BoostCom: Towards Efficient Universal Fully Homomorphic Encryption by Boosting the Word-wise Comparisons
Ardhi Wiratama Baskara Yudha, Jiaqi Xue, Qian Lou (University of Central Florida); Huiyang Zhou (North Carolina State University); Yan Solihin (University of Central Florida)
- SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs
Alhad Daftardar, Brandon Reagen, Siddharth Garg (New York University)
|
| 15:30 |
Break |
| 16:00 |
Session 6: Quantum & Neuromorphic (3 papers)
- Recompiling QAOA Circuits on Various Rotational Directions
Enhyeok Jang, Dongho Ha, Seungwoo Choi, Youngmin Kim, Jaewon Kwon, Yongju Lee, Sungwoo Ahn, Hyungseok Kim, Won Woo Ro (Yonsei University)
- Faster and More Reliable Quantum SWAPs via Native Gates
Pranav Gokhale, Teague Tomesh (Infleqtion); Martin Suchara (Microsoft); Fred Chong (University of Chicago)
- NavCim: Comprehensive Design Space Exploration for Analog Computing-in-Memory Architectures
Juseong Park, Boseok Kim (Pohang University of Science and Technology); Hyojin Sung (Seoul National University)
|
| 17:30 |
Break |
| 18:00 |
Conference dinner |
| Time |
What |
Where |
| 08:00 |
Session 7: Memory (3 papers)
- MORSE: Memory Overwrite Time Guided Soft Writes to Improve ReRAM Energy and Endurance
Devesh Singh (University of Maryland, College Park); Donald Yeung (University of Maryland)
- Trimma: Trimming Metadata Storage and Latency for Hybrid Memory Systems
Yiwei Li, Boyu Tian, Mingyu Gao (Tsinghua University)
- Chimera: Leveraging Hybrid Offsets for Efficient Data Prefetching
Shuiyi He, Zicong Wang, Xuan Tang, Qiyao Sun, Dezun Dong (National University of Defense Technology)
|
| 09:30 |
Break |
| 10:00 |
SRC poster winners presentations |
| 11:00 |
Session 8: Address Translation, Coherence, and Communication (3 papers)
- Rethinking Page Table Structure for Fast Address Translation in GPUs: A Fixed-Size Hashed Page Table
Sungbin Jang, Junhyeok Park, Osang Kwon, Yongho Lee, Seokin Hong (Sungkyunkwan University)
- Mozart: Taming Taxes and Composing Accelerators with Shared-Memory
Vignesh Suresh, Bakshree Mishra, Ying Jing, Zeran Zhu, Naiyin Jin, Charles Block (University of Illinois at Urbana-Champaign); Paolo Mantovani, Davide Giri, Joseph Zuckerman, Luca P. Carloni (Columbia University); Sarita Adve (University of Illinois at Urbana-Champaign)
- vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management
Gyeongseo Park, Minho Kim (DGIST); Ki-Dong Kang (DGIST/ETRI); Yunhyeong Jeon, Sungju Kim, Hyosang Kim (DGIST); Daehoon Kim (Yonsei University)
|
| 12:30 |
Closing |
PACT 2024
October 13–16, 2024
