Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning

4 December 2020

Papers citing "Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning"

17 / 17 papers shown

Title
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters WenZheng Zhang Yang Hu Jing Shi Xiaoying Bai 29 1 0 22 Aug 2024
Orchestrating Quantum Cloud Environments with Qonductor Emmanouil Giortamis Francisco Romao Nathaniel Tornow Dmitry Lugovoy Pramod Bhatotia 22 3 0 08 Aug 2024
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows Yuting Yang Andrea Merlina Weijia Song Tiancheng Yuan Ken Birman Roman Vitenberg 41 0 0 27 Feb 2024
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression Moonjung Eo Suhyun Kang Wonjong Rhee 17 1 0 21 Sep 2023
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines Siyuan Chen Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry 14 0 0 08 Feb 2023
Baechi: Fast Device Placement of Machine Learning Graphs Beomyeol Jeon L. Cai Chirag Shetty P. Srivastava Jintao Jiang Xiaolan Ke Yitao Meng Cong Xie Indranil Gupta GNN 11 18 0 20 Jan 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs Chunyang Wang Desen Sun Yunru Bai GNN AI4CE 39 15 0 01 Jan 2023
A Fast Post-Training Pruning Framework for Transformers Woosuk Kwon Sehoon Kim Michael W. Mahoney Joseph Hassoun Kurt Keutzer A. Gholami 13 143 0 29 Mar 2022
Pathways: Asynchronous Distributed Dataflow for ML P. Barham Aakanksha Chowdhery J. Dean Sanjay Ghemawat Steven Hand ... Parker Schuh Ryan Sepassi Laurent El Shafey C. A. Thekkath Yonghui Wu GNN MoE 45 126 0 23 Mar 2022
Optimal channel selection with discrete QCQP Yeonwoo Jeong Deokjae Lee Gaon An Changyong Son Hyun Oh Song 11 1 0 24 Feb 2022
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs Taebum Kim Eunji Jeong Geonyong Kim Yunmo Koo Sehoon Kim Gyeong-In Yu Byung-Gon Chun AI4CE 17 5 0 23 Jan 2022
Safe and Practical GPU Acceleration in TrustZone Heejin Park F. Lin 29 4 0 04 Nov 2021
Scheduling Optimization Techniques for Neural Network Training Hyungjun Oh Junyeol Lee HyeongJu Kim Jiwon Seo 13 0 0 03 Oct 2021
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads Guin Gilman R. Walls GNN BDL 32 17 0 01 Oct 2021
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning S. Choi Sunho Lee Yeonjae Kim Jongse Park Youngjin Kwon Jaehyuk Huh 14 21 0 01 Sep 2021
GPUReplay: A 50-KB GPU Stack for Client ML Heejin Park F. Lin 25 9 0 04 May 2021
IOS: Inter-Operator Scheduler for CNN Acceleration Yaoyao Ding Ligeng Zhu Zhihao Jia Gennady Pekhimenko Song Han 21 72 0 02 Nov 2020