Title
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference Yejin Lee Anna Y. Sun Basil Hosmer Bilge Acun Can Balioglu ... Ram Pasunuru Scott Yih Sravya Popuri Xing Liu Carole-Jean Wu 52 2 0 30 Sep 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Xiaoyu Tan Yaochu Jin FedML 88 0 0 23 Sep 2024
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models Yujeong Choi Jiin Kim Minsoo Rhu 32 1 0 11 Jun 2024
ACCL+: an FPGA-Based Collective Engine for Distributed Applications Zhenhao He Dario Korolija Yu Zhu Benjamin Ramhorst Tristan Laan L. Petrica Michaela Blott Gustavo Alonso GNN 21 6 0 18 Dec 2023
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 27 3 0 28 Aug 2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems Debopam Sanyal Jui-Tse Hung Manavi Agrawal Prahlad Jasti Shahab Nikkhoo S. Jha Tianhao Wang Sibin Mohan Alexey Tumanov 36 0 0 03 Jul 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 40 2 0 12 May 2023
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources Baolin Li S. Samsi V. Gadepally Devesh Tiwari 19 11 0 12 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 15 28 0 05 Oct 2022
HammingMesh: A Network Topology for Large-Scale Deep Learning Torsten Hoefler Tommaso Bonato Daniele De Sensi Salvatore Di Girolamo Shigang Li Marco Heddes Jon Belk Deepak Goel Miguel Castro Steve Scott 3DH GNN AI4CE 21 20 0 03 Sep 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 24 25 0 23 Jul 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform Bingyi Zhang Hanqing Zeng Viktor Prasanna GNN 24 12 0 17 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 29 31 0 30 May 2022
Training Personalized Recommendation Systems from (GPU) Scratch: Look Forward not Backwards Youngeun Kwon Minsoo Rhu 16 27 0 10 May 2022
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions Benjamin Ghaemmaghami Mustafa Ozdal Rakesh Komuravelli D. Korchev Dheevatsa Mudigere Krishnakumar Nair Maxim Naumov 18 6 0 28 Mar 2022
Learning Compressed Embeddings for On-Device Inference Niketan Pansare J. Katukuri Aditya Arora F. Cipollone R. Shaik Noyan Tokgozoglu Chandru Venkataraman 24 14 0 18 Mar 2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation Liu Ke Udit Gupta Mark Hempstead Carole-Jean Wu Hsien-Hsin S. Lee Xuan Zhang 19 21 0 14 Mar 2022
BagPipe: Accelerating Deep Recommendation Model Training Saurabh Agarwal Chengpo Yan Ziyi Zhang Shivaram Venkataraman 18 17 0 24 Feb 2022
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments Ji Liu Zhihua Wu Dianhai Yu Yanjun Ma Danlei Feng Minxu Zhang Xinxuan Wu Xuefeng Yao Dejing Dou 11 43 0 20 Nov 2021
Differentiable NAS Framework and Application to Ads CTR Prediction Ravi Krishna Aravind Kalaiah Bichen Wu Maxim Naumov Dheevatsa Mudigere M. Smelyanskiy Kurt Keutzer 20 8 0 25 Oct 2021
Supporting Massive DLRM Inference Through Software Defined Memory E. K. Ardestani Changkyu Kim Seung Jae Lee Luoshang Pan Valmiki Rampersad ... Krishnakumar Nair Maxim Naumov Christopher Peterson M. Smelyanskiy Vijay Rao BDL 31 20 0 21 Oct 2021
Understanding Data Storage and Ingestion for Large-Scale Deep Recommendation Model Training Mark Zhao Niket Agarwal Aarti Basant B. Gedik Satadru Pan ... Kevin Wilfong Harsha Rastogi Carole-Jean Wu Christos Kozyrakis Parikshit Pol GNN 15 70 0 20 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 20 6 0 04 Aug 2021
Post-Training Sparsity-Aware Quantization Gil Shomron F. Gabbay Samer Kurzum U. Weiser MQ 31 33 0 23 May 2021
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks Geraldo F. Oliveira Juan Gómez Luna Lois Orosa Saugata Ghose Nandita Vijaykumar Ivan Fernandez Mohammad Sadrosadati O. Mutlu 28 82 0 08 May 2021
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators Qijing Huang Minwoo Kang Grace Dinh Thomas Norell Aravind Kalaiah J. Demmel J. Wawrzynek Y. Shao 15 105 0 05 May 2021
Faa $T: A Transparent Auto-Scaling Cache for Serverless Applications$ Francisco Romero G. Chaudhry Íñigo Goiri Pragna Gopa Paul Batum N. Yadwadkar Rodrigo Fonseca Christos Kozyrakis Ricardo Bianchini 58 111 0 28 Apr 2021
Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training Youngeun Kwon Yunjae Lee Minsoo Rhu 19 39 0 25 Oct 2020
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems Caojin Zhang Yicun Liu Yuanpu Xie S. Ktena Alykhan Tejani ... Suvadip Paul Ikuhiro Ihara P. Upadhyaya Ferenc Huszár Wenzhe Shi 26 53 0 28 Jul 2020
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures Dhiraj D. Kalamkar E. Georganas S. Srinivasan Jianping Chen Mikhail Shiryaev A. Heinecke 48 47 0 10 May 2020
A Social Search Model for Large Scale Social Networks Yunzhong He Wenyuan Li Liangxing Chen Gabriel Forgues Xunlong Gui Sui Liang Bo Hou GNN 21 2 0 09 May 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 25 188 0 08 Jan 2020
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing Liu Ke Udit Gupta Carole-Jean Wu B. Cho Mark Hempstead ... Dheevatsa Mudigere Maxim Naumov Martin D. Schatz M. Smelyanskiy Xiaodong Wang 41 212 0 30 Dec 2019
SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations Konstantinos Kanellopoulos Nandita Vijaykumar Christina Giannoula Roknoddin Azizi Skanda Koppula Nika Mansouri-Ghiasi Taha Shahroodi Juan Gómez Luna O. Mutlu 13 79 0 23 Oct 2019