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Timezone: America/New_York
Full Schedule Sun 6/4 Mon 6/5 Tue 6/6 Wed 6/7 Thu 6/8
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Registration Desk
7:30 AM - 4:00 PM
Poster
9:00 AM - 10:00 AM
3 Events in this session
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs
Guyue Huang · Yang Bai · Liu Liu · Yuke Wang · Bei Yu · Yufei Ding · Yuan Xie
SIRIUS: Harvesting Whole-Program Optimization Opportunities for DNNs
YIJIN LI · Jiacheng Zhao · Sun Qianqi · Haohui Mai · Lei Chen · Wanlu Cao · Yanfan Chen · Li zhicheng · YING LIU · Xinyuan Zhang · Xiyu Shi · Jie Zhao · Jingling Xue · HUIMIN CUI · XiaoBing Feng
X-RLFLOW: GRAPH REINFORCEMENT LEARNING FOR NEURAL NETWORK SUBGRAPHS TRANSFORMATION
Guoliang HE · Sean Parker · Eiko Yoneki
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Poster
10:30 AM - 11:30 AM
3 Events in this session
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Hyoukjun Kwon · Krishnakumar Nair · Jamin Seo · Jason Yik · Debabrata Mohapatra · Dongyuan Zhan · JINOOK SONG · Peter Capak · Peizhao Zhang · Peter Vajda · Colby Banbury · Mark Mazumder · Liangzhen Lai · Ashish Sirasao · Tushar Krishna · Harshit Khaitan · Vikas Chandra · Vijay Janapa Reddi
Renee: END-TO-END TRAINING OF EXTREME CLASSIFICATION MODELS
Vidit Jain · Jatin Prakash · Deepak Saini · Jian Jiao · Ramachandran Ramjee · Manik Varma
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs
Zhongming Yu · Guohao Dai · Shang Yang · Genghan Zhang · Hengrui Zhang · Feiwen Zhu · June Yang · Jishen Zhao · Yu Wang
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Poster
1:30 PM - 3:20 PM
4 Events in this session
Efficient GPU Kernels for N:M-Sparse Weights in Deep Learning
Bin Lin · Ningxin Zheng · Lei Wang · Shijie Cao · Lingxiao Ma · Quanlu Zhang · Yi Zhu · Ting Cao · Jilong Xue · Yuqing Yang · Fan Yang
Unified Convolution Framework: A compiler-based approach to support sparse convolutions
Jaeyeon Won · Changwan Hong · Charith Mendis · Joel Emer · Saman Amarasinghe
Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds
Ke Hong · Zhongming Yu · Guohao Dai · Xinhao Yang · Yaoxiu Lian · 泽浩 刘 · Ningyi Xu · Yu Wang
Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models
Younghoon Byun · Seungsik Moon · Baeseong Park · Se Jung Kwon · Dongsoo Lee · Gunho Park · Eunji Yoo · Jung Gyu Min · Youngjoo Lee
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Poster
3:20 PM - 4:40 PM
4 Events in this session
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
Daochen Zha · Louis Feng · Liang Luo · Bhargav Bhushanam · Zirui Liu · Yusuo Hu · Jade Nie · Yuzhen Huang · Yuandong Tian · Arun Kejariwal · Xia Hu
μ-TWO: 3× Faster Multi-Model Training with Orchestration and Memory Optimization
Sanket Purandare · Abdul Wasay · Stratos Idreos · Animesh Jain
PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls
Pritam Damania · Shen Li · Alban Desmaison · Alisson Azzolini · Brian Vaughan · Edward Yang · Gregory Chanan · Guoqiang Jerry Chen · Hongyi Jia · Howard Huang · Joseph Spisak · Luca Wehrstedt · Lucas Hosseini · Manoj Krishnan · Omkar Salpekar · Pavel Belevich · Rohan Varma · Satendra Gera · Wanchao Liang · Shihao Xu · Soumith Chintala · Chaoyang He · Amir Ziashahabi · Salman Avestimehr · · Zachary DeVito
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
Mark Zhao · Dhruv Choudhary · Devashish Tyagi · Ajay Somani · Max Kaplan · Sung-Han Lin · Sarunya Pumma · Jongsoo Park · Aarti Basant · Niket Agarwal · Carole-Jean Wu · Christos Kozyrakis
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Poster
4:40 PM - 5:40 PM
3 Events in this session
Practical Edge Kernels for Integer-Only Vision Transformers Under Post-training Quantization
Zining Zhang · Bingsheng He · Zhenjie Zhang
Edge Impulse: An MLOps Platform for Tiny Machine Learning
colby banbury · Vijay Janapa Reddi · Alexander Elium · Shawn Hymel · David Tischler · Daniel Situnayake · Carl Ward · Louis Moreau · Jenny Plunkett · Matthew Kelcey · Mathijs Baaijens · Alessandro Grande · Dmitry Maslov · Arthur Beavis · Jan Jongboom · Jessica Quaye
SUBGRAPH STATIONARY HARDWARE-SOFTWARE INFERENCE CO-DESIGN
Payman Behnam · Alexey Tumanov · Tushar Krishna · Pranav Gadikar · Yangyu Chen · Jianming Tong · Yue Pan · Abhimanyu Rajeshkumar Bambhaniya · Alind Khare
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